Accountabilities Lead, manage, mentor, and develop Clinical Data Science professionals, including onboarding, performance management, training, coaching, and career development. Oversee multiple clinical projects ranging from individual studies to complex global programs, ensuring activities meet contractual commitments, quality standards, timelines, and applicable regulations. Serve as a primary escalation and relationship-management contact for assigned clients and projects, resolving issues within scope and escalating matters when appropriate. Monitor project scope, budgets, resources, forecasting, utilization, productivity, timelines, and overall financial health. Guide Clinical Data Science leads in maintaining data quality and identifying operational and clinical risks through holistic review of study data and protocols. Ensure project documentation is maintained appropriately and that trial master files remain inspection-ready. Support the identification, analysis, and resolution of quality issues, CAPAs, audit findings, and regulatory or client observations. Lead or support client and regulatory audits, including preparation and representation of Clinical Data Science teams. Participate in business development activities, client meetings, proposals, scope development, and project budget planning. Contribute to the development of technologies, tools, SOPs, processes, training materials, and procedures that improve Clinical Data Science delivery. Coordinate workloads and assignments across teams while monitoring quality, timeliness, and billable and non-billable activities. Requirements Bachelor’s degree in biological sciences, computer sciences, mathematics, data sciences, or a related natural science or healthcare discipline; a master’s degree is preferred. Equivalent relevant professional experience may be considered. Strong knowledge of the drug development process and its relationship to clinical data quality, including risk-based approaches, biometrics procedures, and workflows. Demonstrated experience in Clinical Data Science practices and relational database management systems. Strong project management capabilities and familiarity with established project management methodologies. Experience leading, mentoring, and developing Clinical Data Science professionals while managing client and internal stakeholder relationships. Knowledge of ICH/GCP requirements and regulatory expectations for clinical studies. Excellent written and verbal communication, presentation, interpersonal, influencing, and problem-solving skills. Experience working effectively within matrixed, cross-functional teams and highly dynamic environments. Ability to make sound decisions, manage competing priorities, and maintain quality and performance under pressure. Strong organizational skills, a collaborative mindset, and a positive, team-oriented approach. Ability to travel as required, up to approximately 25%. Benefits Competitive base salary range of $95,000–$210,900 , with actual compensation determined by qualifications, skills, competencies, experience, and other relevant factors. Medical, dental, and vision health benefits. Employer-matched 401(k) retirement plan. Eligibility to participate in an Employee Stock Purchase Plan. Potential eligibility for commissions or bonuses based on company and individual performance. Flexible paid time off and sick time, subject to applicable local requirements. Potential company car or car allowance, where applicable. Remote work arrangement available for pre-approved locations in Canada. Professional development opportunities, including career progression, technical and therapeutic-area training, mentoring, and peer recognition. Collaborative, global, and inclusive working environment with opportunities to work alongside multidisciplinary clinical and healthcare professionals. How Jobgether works: We use an AI-powered matching process to ensure your application is reviewed quickly, objectively, and fairly against the role's core requirements. Our system identifies the top-fitting candidates, and this shortlist is then shared directly with the hiring company. The final decision and next steps (interviews, assessments) are managed by their internal team. We appreciate your interest and wish you the best! Why Apply Through Jobgether? Data Privacy Notice: By submitting your application, you acknowledge that Jobgether will process your personal data to evaluate your candidacy and share relevant information with the hiring employer. This processing is based on legitimate interest and pre-contractual measures under applicable data protection laws (including GDPR). You may exercise your rights (access, rectification, erasure, objection) at any time. #LI-CL1
Current Employees: If you are a current Staff, Faculty or Temporary employee at the University of Miami, please click here to log in to Workday to use the internal application process. To learn how to apply for a faculty or staff position, please review this tip sheet . The University of Miami/UHealth Department of Informatics and Health Data Science has an exciting opportunity for a full time Manager, Data Science to work in Miami, FL. The Manager, Data Science supports the Department Chair in managing and coordinating data science initiatives across the Department of Informatics and Health Data Science (DIHDS) and the Media and Innovation Laboratory (The MIL). The Manager applies advanced analytics, artificial intelligence, machine learning, predictive modeling, and related data-driven technologies to support the department’s strategic priorities across Research, Education, Clinical Innovation, Service/Outreach/Policy/Ethics, and Venture. A major departmental priority is the development and implementation of large-scale, multidisciplinary research initiatives supported by the National Institutes of Health (NIH), the Advanced Research Projects Agency for Health (ARPA-H), and other federal, foundation, and industry sponsors. The Manager works closely with the Chair, faculty, investigators, engineers, technical teams, and collaborators across the University of Miami to address the data architecture, integration, analytics, modeling, infrastructure, and reporting requirements of complex, multi investigator, and multi-institutional projects. The Manager also supports key departmental engineering and innovation initiatives, including the continued development, implementation, evaluation, and advancement of the MIL Agentic Data Scientist (MILADS) and other AI-enabled research tools. In collaboration with departmental leadership and internal and external partners, the Manager contributes technical expertise to the development, validation, translation, and potential commercialization of innovative products and technologies. Core responsibilities: * Conducts initial assessments and data analyses to identify and quantify/qualify recommended opportunities for improvement. * Serves as a business change agent leading process re-engineering activities/project. * Manages the daily activities of the team responsible for identifying business trends and problems through big data analysis. * Oversees the interpretation of results using a variety of techniques, ranging from simple data aggregation via statistical analysis to complex data mining. * Manages the design and implementation of big data solutions for the organization utilizing big data tools. * Applies and integrates statistical, mathematical, predictive modeling and business analysis skills to manage and manipulate complex high-volume data from a variety of sources. * Develops infrastructure systems that connect internal data sets. * Manages analysis of large quantities of data and presents insights and predictions to support management planning, execution and monitoring of business decisions. * Manages team, budget, and project staffing assignments. * Establishes and continuously assesses the effectiveness of the internal controls within the unit and compliance with University policies and procedures. * Ensures employees are trained on controls within the function and on University policy and procedures. Department Specific Functions: * Manages and coordinates the department’s data science portfolio in alignment with the strategic priorities of DIHDS, The MIL, the Miller School of Medicine, and the University of Miami. * Works closely with the Department Chair, faculty, investigators, engineers, and research teams to translate scientific, operational, and population-health questions into defined data science projects, analytical plans, technical requirements, and measurable outcomes. * Supports the development of large-scale NIH, ARPA-H, and other externally sponsored proposals by contributing to study design, data strategies, preliminary analyses, technical plans, analytic workflows, infrastructure requirements, budgets, and related application components. * Provides ongoing data science and analytical support for funded studies, including data acquisition, ingestion, cleaning, harmonization, integration, documentation, analysis, visualization, and reporting. * Manages data science personnel, analysts, consultants, and other technical contributors assigned to departmental research, education, engineering, and innovation initiatives. * Coordinates the development and application of advanced analytical methods, including statistical analysis, predictive modeling, machine learning, classification, time-series analysis, causal inference, feature engineering, and model-performance evaluation. * Supports the design, development, implementation, evaluation, and continued advancement of MILADS and related artificial intelligence and agentic-AI tools that accelerate data ingestion, analysis, interpretation, reporting, and research translation. * Develops and maintains scalable and reproducible data science workflows, analytical pipelines, reusable code, data dictionaries, technical documentation, dashboards, visualization tools, and reporting systems. * Establishes and maintains departmental practices for evaluating the accuracy, reliability, fairness, reproducibility, transparency, interpretability, privacy, security, and practical value of statistical models and AIenabled solutions. * Collaborates with University information technology, data-governance, cybersecurity, privacy, compliance, and research-administration teams to ensure that departmental data science activities comply with institutional policies, sponsor requirements, and applicable regulations. * Provides data science support for research protocols, progress reports, manuscripts, conference presentations, technical reports, demonstrations, and other scholarly or professional products. * Supports the department’s education and workforce-development activities by developing workshops, guided working sessions, technical resources, and mentoring opportunities that strengthen data literacy, computational skills, and the responsible use of artificial intelligence. * Coordinates data science contributions to departmental programs such as MILADS, NHLBI-funded PRIDE, biomedical informatics, digital health, precision medicine, and other research and educational initiatives. * Supports key engineering initiatives by coordinating data requirements, analytical methods, model development, technical validation, documentation, and performance evaluation across multidisciplinary project teams. * Supports the department’s Venture vertical by contributing data science expertise to the design, development, testing, validation, and translation of innovative products, platforms, prototypes, and technologies. * Collaborates with University technology-transfer resources and external partners to support product commercialization, intellectual-property development, industry engagement, and the transition of research innovations into scalable solutions. * Develops and maintains collaborations with academic units, healthcare organizations, technology companies, community partners, government agencies, and other external stakeholders to expand access to data, expertise, technologies, funding, and translational opportunities. * Evaluates emerging data science, machine-learning, generative-AI, and agentic-AI technologies and recommends appropriate tools, platforms, methodologies, and investments for departmental consideration. * Establishes performance indicators and evaluation frameworks to measure the utilization, effectiveness, scientific contribution, operational value, scalability, and impact of departmental data science initiatives. * Performs other duties consistent with the scope, responsibilities, qualifications, and strategic priorities of the position. This list of duties and responsibilities is not intended to be all-inclusive and may be expanded to include other duties or responsibilities as necessary. Core Qualifications: * Bachelor’s degree in relevant field required. * Minimum 3 years of relevant experience required. * Operational Management: Optimizes day-to-day operations and processes for efficiency and effectiveness. * Organizational Development: Ability to implement strategies to improve organizational effectiveness, engagement, and manage change. * Financial Oversight: Knowledge of financial operations and management. * Team Leadership: Ability to create and maintain a cohesive and productive team environment, build positive working relationships and work collaboratively with others. * Technical Proficiency: Skilled in using office software, technology, and relevant computer applications. * Communication: Strong verbal and written communication skills to convey ideas clearly and persuasively. Any relevant education, certifications and/or work experience may be considered. The University of Miami offers competitive salaries and a comprehensive benefits package including medical, dental, tuition remission and more. UHealth-University of Miami Health System, South Florida's only university-based health system, provides leading-edge patient care powered by the ground breaking research and medical education at the Miller School of Medicine. As an academic medical center, we are proud to serve South Florida, Latin America and the Caribbean. Our physicians represent more than 100 specialties and sub-specialties, and have more than one million patient encounters each year. Our tradition of excellence has earned worldwide recognition for outstanding teaching, research and patient care. We're the challenge you've been looking for. The University of Miami is an Equal Opportunity Employer. Applicants and employees are protected from discrimination based on certain categories protected by Federal law. Job Status: Full time Employee Type: Staff
At Netflix, our mission is to entertain the world. Together, we are writing the next episode - pushing the boundaries of storytelling, global fandom and making the unimaginable a reality. We are a dream team obsessed with the uncomfortable excitement of discovering what happens when you merge creativity, intuition and cutting-edge technology. Come be a part of what’s next. The Messaging Data Science and Engineering team aims to drive our Data Science, Analytics, and Data Engineering strategies for our messaging domain (off-service communications to our existing member base). In many ways, this space functions as a “mini Netflix”; it is a highly cross-functional team that sits at the intersection of our content, product, and algos domains. A strong messaging strategy is essential to ensure we meet both our member and business needs, whether that involves ensuring our members are aware of the content available to them or ensuring new business lines (Live, Games) are effectively supported. We are looking for an exceptional technical leader to manage a team with a variety of role profiles and guide and shape our science and analytics approach to Messaging. The ideal candidate has a passion for diving into complex systems to shape the technical strategy of the team. Additionally, strong cross-functional collaboration skills are a must; the messaging space has a complex stakeholder landscape, and we sit at the intersection of it all. In success, this leader will help shape our broader messaging strategy in a way that drives strong impact across a multitude of business needs across Netflix. In this role, you will: Lead a team of mixed technical roles (Data Scientists, Analytics Engineers, and Data Engineers). Drive the vision and roadmap for the team, balancing the needs of multiple business. stakeholders while ensuring we maximize impact on the business. Be a strategic thought partner to shape the strategy of the broader Messaging domain; This is not a “sit back and let people tell you what to do” role. Drive a culture of innovation through collaboration with other leaders in the broader Data Science and Engineering space. Embody Netflix values in daily work and interactions. You have: Demonstrated experience leading Data Science or related area teams - particularly in domains with complex stakeholder environments or with greater flexibility to decide what the team focuses on. Exceptional interpersonal and communication skills, including proven ability to effectively collaborate with a variety of technical and non-technical business partners and other data science leaders. A passion for driving and influencing product strategies in a fast-paced, cross-functional environment. Ability to deal with ambiguity; a strong ownership mindset, a desire to thrive on minimal oversight and process, and a willingness to learn and rapidly absorb business context. Masters or PhD in Statistics, Computer Science, Mathematics, or related field preferred. Generally, our compensation structure consists solely of an annual salary; we do not have bonuses. You choose each year how much of your compensation you want in salary versus stock options. To determine your personal top of market compensation, we rely on market indicators and consider your specific job family, background, skills, and experience to determine your compensation in the market range. The range for this role is $480,000.00 - $750,000.00. This compensation range will vary based on location. Netflix provides comprehensive benefits including Health Plans, Mental Health support, a 401(k) Retirement Plan with employer match, Stock Option Program, Disability Programs, Health Savings and Flexible Spending Accounts, Family-forming benefits, and Life and Serious Injury Benefits. We also offer paid leave of absence programs. Full-time hourly employees accrue 35 days annually for paid time off to be used for vacation, holidays, and sick paid time off. Full-time salaried employees are immediately entitled to flexible time off. See more details about our Benefits here . Netflix is a unique culture and environment. Learn more here . Inclusion is a Netflix value and we strive to host a meaningful interview experience for all candidates. If you want an accommodation/adjustment for a disability or any other reason during the hiring process, please send a request to your recruiting partner. We are an equal-opportunity employer and celebrate diversity, recognizing that diversity builds stronger teams. We approach diversity and inclusion seriously and thoughtfully. We do not discriminate on the basis of race, religion, color, ancestry, national origin, caste, sex, sexual orientation, gender, gender identity or expression, age, disability, medical condition, pregnancy, genetic makeup, marital status, or military service. Job is open for no less than 7 days and will be removed when the position is filled.
At Netflix, our mission is to entertain the world. Together, we are writing the next episode - pushing the boundaries of storytelling, global fandom and making the unimaginable a reality. We are a dream team obsessed with the uncomfortable excitement of discovering what happens when you merge creativity, intuition and cutting-edge technology. Come be a part of what’s next. The Messaging Data Science and Engineering team aims to drive our Data Science, Analytics, and Data Engineering strategies for our messaging domain (off-service communications to our existing member base). In many ways, this space functions as a “mini Netflix”; it is a highly cross-functional team that sits at the intersection of our content, product, and algos domains. A strong messaging strategy is essential to ensure we meet both our member and business needs, whether that involves ensuring our members are aware of the content available to them or ensuring new business lines (Live, Games) are effectively supported. We are looking for an exceptional technical leader to manage a team with a variety of role profiles and guide and shape our science and analytics approach to Messaging. The ideal candidate has a passion for diving into complex systems to shape the technical strategy of the team. Additionally, strong cross-functional collaboration skills are a must; the messaging space has a complex stakeholder landscape, and we sit at the intersection of it all. In success, this leader will help shape our broader messaging strategy in a way that drives strong impact across a multitude of business needs across Netflix. In this role, you will: Lead a team of mixed technical roles (Data Scientists, Analytics Engineers, and Data Engineers). Drive the vision and roadmap for the team, balancing the needs of multiple business. stakeholders while ensuring we maximize impact on the business. Be a strategic thought partner to shape the strategy of the broader Messaging domain; This is not a “sit back and let people tell you what to do” role. Drive a culture of innovation through collaboration with other leaders in the broader Data Science and Engineering space. Embody Netflix values in daily work and interactions. You have: Demonstrated experience leading Data Science or related area teams - particularly in domains with complex stakeholder environments or with greater flexibility to decide what the team focuses on. Exceptional interpersonal and communication skills, including proven ability to effectively collaborate with a variety of technical and non-technical business partners and other data science leaders. A passion for driving and influencing product strategies in a fast-paced, cross-functional environment. Ability to deal with ambiguity; a strong ownership mindset, a desire to thrive on minimal oversight and process, and a willingness to learn and rapidly absorb business context. Masters or PhD in Statistics, Computer Science, Mathematics, or related field preferred. Generally, our compensation structure consists solely of an annual salary; we do not have bonuses. You choose each year how much of your compensation you want in salary versus stock options. To determine your personal top of market compensation, we rely on market indicators and consider your specific job family, background, skills, and experience to determine your compensation in the market range. The range for this role is $480,000.00 - $750,000.00. This compensation range will vary based on location. Netflix provides comprehensive benefits including Health Plans, Mental Health support, a 401(k) Retirement Plan with employer match, Stock Option Program, Disability Programs, Health Savings and Flexible Spending Accounts, Family-forming benefits, and Life and Serious Injury Benefits. We also offer paid leave of absence programs. Full-time hourly employees accrue 35 days annually for paid time off to be used for vacation, holidays, and sick paid time off. Full-time salaried employees are immediately entitled to flexible time off. See more details about our Benefits here . Netflix is a unique culture and environment. Learn more here . Inclusion is a Netflix value and we strive to host a meaningful interview experience for all candidates. If you want an accommodation/adjustment for a disability or any other reason during the hiring process, please send a request to your recruiting partner. We are an equal-opportunity employer and celebrate diversity, recognizing that diversity builds stronger teams. We approach diversity and inclusion seriously and thoughtfully. We do not discriminate on the basis of race, religion, color, ancestry, national origin, caste, sex, sexual orientation, gender, gender identity or expression, age, disability, medical condition, pregnancy, genetic makeup, marital status, or military service. Job is open for no less than 7 days and will be removed when the position is filled.
At Netflix, our mission is to entertain the world. Together, we are writing the next episode - pushing the boundaries of storytelling, global fandom and making the unimaginable a reality. We are a dream team obsessed with the uncomfortable excitement of discovering what happens when you merge creativity, intuition and cutting-edge technology. Come be a part of what’s next. The Messaging Data Science and Engineering team aims to drive our Data Science, Analytics, and Data Engineering strategies for our messaging domain (off-service communications to our existing member base). In many ways, this space functions as a “mini Netflix”; it is a highly cross-functional team that sits at the intersection of our content, product, and algos domains. A strong messaging strategy is essential to ensure we meet both our member and business needs, whether that involves ensuring our members are aware of the content available to them or ensuring new business lines (Live, Games) are effectively supported. We are looking for an exceptional technical leader to manage a team with a variety of role profiles and guide and shape our science and analytics approach to Messaging. The ideal candidate has a passion for diving into complex systems to shape the technical strategy of the team. Additionally, strong cross-functional collaboration skills are a must; the messaging space has a complex stakeholder landscape, and we sit at the intersection of it all. In success, this leader will help shape our broader messaging strategy in a way that drives strong impact across a multitude of business needs across Netflix. In this role, you will: Lead a team of mixed technical roles (Data Scientists, Analytics Engineers, and Data Engineers). Drive the vision and roadmap for the team, balancing the needs of multiple business. stakeholders while ensuring we maximize impact on the business. Be a strategic thought partner to shape the strategy of the broader Messaging domain; This is not a “sit back and let people tell you what to do” role. Drive a culture of innovation through collaboration with other leaders in the broader Data Science and Engineering space. Embody Netflix values in daily work and interactions. You have: Demonstrated experience leading Data Science or related area teams - particularly in domains with complex stakeholder environments or with greater flexibility to decide what the team focuses on. Exceptional interpersonal and communication skills, including proven ability to effectively collaborate with a variety of technical and non-technical business partners and other data science leaders. A passion for driving and influencing product strategies in a fast-paced, cross-functional environment. Ability to deal with ambiguity; a strong ownership mindset, a desire to thrive on minimal oversight and process, and a willingness to learn and rapidly absorb business context. Masters or PhD in Statistics, Computer Science, Mathematics, or related field preferred. Generally, our compensation structure consists solely of an annual salary; we do not have bonuses. You choose each year how much of your compensation you want in salary versus stock options. To determine your personal top of market compensation, we rely on market indicators and consider your specific job family, background, skills, and experience to determine your compensation in the market range. The range for this role is $480,000.00 - $750,000.00. This compensation range will vary based on location. Netflix provides comprehensive benefits including Health Plans, Mental Health support, a 401(k) Retirement Plan with employer match, Stock Option Program, Disability Programs, Health Savings and Flexible Spending Accounts, Family-forming benefits, and Life and Serious Injury Benefits. We also offer paid leave of absence programs. Full-time hourly employees accrue 35 days annually for paid time off to be used for vacation, holidays, and sick paid time off. Full-time salaried employees are immediately entitled to flexible time off. See more details about our Benefits here . Netflix is a unique culture and environment. Learn more here . Inclusion is a Netflix value and we strive to host a meaningful interview experience for all candidates. If you want an accommodation/adjustment for a disability or any other reason during the hiring process, please send a request to your recruiting partner. We are an equal-opportunity employer and celebrate diversity, recognizing that diversity builds stronger teams. We approach diversity and inclusion seriously and thoughtfully. We do not discriminate on the basis of race, religion, color, ancestry, national origin, caste, sex, sexual orientation, gender, gender identity or expression, age, disability, medical condition, pregnancy, genetic makeup, marital status, or military service. Job is open for no less than 7 days and will be removed when the position is filled.
About The Team Logistics Analytics helps DoorDash make better product, business, and go-to-market decisions through high-quality analytics, predictive modeling, experimentation, and strategic thought partnership. Our mandate for logistics is to fulfill our promise to Dashers, Consumers and Merchants by achieving seamless and reliable deliveries as efficiently as possible. About The Role We’re hiring a Data Science Manager to lead analytics for the logistics pod and help shape high-priority product and business decisions. In this role, you will lead a team of data scientists, partner closely with Strategy \& Operations, Product, Engineering, and business leaders, and turn ambiguous questions into clear recommendations that influence roadmap and plan outcomes. Success in this role means building a high-performing team, raising the quality and speed of decision-making, and ensuring analytics work is tightly connected to measurable business impact. You will report into our Director, Data Science on the Dasher Logistics Analytics team in our Analytics organization. You’re Excited About This Opportunity Because You Will… * Lead and develop a team of data scientists responsible for high-impact analytics, predictive modeling, and decision support tied to DoorDash’s most important product, business, and GTM priorities. * Partner closely with Strategy \& Operations, Product, Engineering, and business leaders to shape decisions, influence roadmaps, and improve plan-critical metrics. * Define success metrics, build measurement frameworks and predictive models, and use experimentation and analysis to connect product and operational levers to business outcomes. * Build a high-performing pod that balances analytical rigor, strong prioritization, and clear storytelling in a fast-moving environment. * Scale reusable analytics frameworks, tools, models, and best practices that make the broader organization more effective over time. We’re Excited About You Because… * You have 6+ years of experience in analytics, data science, or a related quantitative field, including experience leading complex, ambiguous work from problem framing through recommendation. * You have experience managing and developing data scientists or analysts and know how to set a high bar on quality, ownership, and impact. * You have strong analytical fundamentals, including experimentation, predictive modeling, metric design, and translating data into actionable business decisions. * You are an excellent cross-functional partner and communicator who can influence stakeholders and tailor your message from working teams to senior leadership. * You are highly effective at prioritization and know how to focus your team on the highest-impact work in a fast-moving environment. Notice to Applicants for Jobs Located in NYC or Remote Jobs Associated With Office in NYC Only We use Covey as part of our hiring and/or promotional process for jobs in NYC and certain features may qualify it as an AEDT in NYC. As part of the hiring and/or promotion process, we provide Covey with job requirements and candidate submitted applications. We began using Covey Scout for Inbound from August 21, 2023, through December 21, 2023, and resumed using Covey Scout for Inbound again on June 29, 2024. The Covey tool has been reviewed by an independent auditor. Results of the audit may be viewed here: Covey Compensation The successful candidate’s starting pay will fall within the pay range listed below and is determined based on job-related factors including, but not limited to, skills, experience, qualifications, work location, and market conditions. Base salary is localized according to an employee’s work location. Ranges are market-dependent and may be modified in the future. In addition to base salary, the compensation for this role includes opportunities for equity grants. Talk to your recruiter for more information. DoorDash cares about you and your overall well-being. That’s why we offer a comprehensive benefits package to all regular employees, which includes a 401(k) plan with employer matching, 16 weeks of paid parental leave, wellness benefits, commuter benefits match, paid time off and paid sick leave in compliance with applicable laws (e.g. Colorado Healthy Families and Workplaces Act). DoorDash also offers medical, dental, and vision benefits, 11 paid holidays, disability and basic life insurance, family-forming assistance, and a mental health program, among others. To learn more about our benefits, visit our careers page here. See Below For Paid Time Off Details * For salaried roles: flexible paid time off/vacation, plus 80 hours of paid sick time per year. * For hourly roles: vacation accrued at about 1 hour for every 25.97 hours worked (e.g. about 6.7 hours/month if working 40 hours/week; about 3.4 hours/month if working 20 hours/week), and paid sick time accrued at 1 hour for every 30 hours worked (e.g. about 5.8 hours/month if working 40 hours/week; about 2.9 hours/month if working 20 hours/week). The national base pay range for this position within the United States, including Illinois and Colorado. $184,300—$271,000 USD About DoorDash At DoorDash, our mission to empower local economies shapes how our team members move quickly, learn, and reiterate in order to make impactful decisions that display empathy for our range of users—from Dashers to merchant partners to consumers. We are a technology and logistics company that started by enabling door-to-door delivery, and we are looking for team members who can help us go from a company that is known as the place you order food to a company that people turn to for any and all goods. DoorDash is growing rapidly and changing constantly, which gives our team members the opportunity to share their unique perspectives, solve new challenges, and own their careers. We're committed to supporting employees’ happiness, healthiness, and overall well-being by providing comprehensive benefits and perks including premium healthcare, wellness expense reimbursement, paid parental leave and more. Our Commitment to Diversity and Inclusion We’re committed to growing and empowering a more inclusive community within our company, industry, and cities. That’s why we hire and cultivate diverse teams of people from all backgrounds, experiences, and perspectives. We believe that true innovation happens when everyone has room at the table and the tools, resources, and opportunity to excel. Statement of Non-Discrimination: In keeping with our beliefs and goals, no employee or applicant will face discrimination or harassment based on: race, color, ancestry, national origin, religion, age, gender, marital/domestic partner status, sexual orientation, gender identity or expression, disability status, or veteran status. Above and beyond discrimination and harassment based on “protected categories,” we also strive to prevent other subtler forms of inappropriate behavior (i.e., stereotyping) from ever gaining a foothold in our office. Whether blatant or hidden, barriers to success have no place at DoorDash. We value a diverse workforce – people who identify as women, non-binary or gender non-conforming, LGBTQIA+, American Indian or Native Alaskan, Black or African American, Hispanic or Latinx, Native Hawaiian or Other Pacific Islander, differently-abled, caretakers and parents, and veterans are strongly encouraged to apply. Thank you to the Level Playing Field Institute for this statement of non-discrimination. Pursuant to the San Francisco Fair Chance Ordinance, Los Angeles Fair Chance Initiative for Hiring Ordinance, and any other state or local hiring regulations, we will consider for employment any qualified applicant, including those with arrest and conviction records, in a manner consistent with the applicable regulation. If you need any accommodations, please inform your recruiting contact upon initial connection. Notice to Applicants for Jobs Located in NYC or Remote Jobs Associated With Office in NYC Only We used Covey as part of our hiring and/or promotional process for jobs in NYC and certain features may qualify it as an AEDT in NYC. As part of the hiring and/or promotion process, we provided Covey with job requirements and candidate submitted applications. We began using Covey Scout for Inbound from August 21, 2023, through December 21, 2023. We resumed using Covey Scout for Inbound again on June 29, 2024, and ceased using Covey Scout for Inbound on April 30, 2026. The Covey tool has been reviewed by an independent auditor. Results of the audit may be viewed here: https://getcovey.com/nyc-local-law-144.
At Netflix, our mission is to entertain the world. Together, we are writing the next episode - pushing the boundaries of storytelling, global fandom and making the unimaginable a reality. We are a dream team obsessed with the uncomfortable excitement of discovering what happens when you merge creativity, intuition and cutting-edge technology. Come be a part of what’s next. The Messaging Data Science and Engineering team aims to drive our Data Science, Analytics, and Data Engineering strategies for our messaging domain (off-service communications to our existing member base). In many ways, this space functions as a “mini Netflix”; it is a highly cross-functional team that sits at the intersection of our content, product, and algos domains. A strong messaging strategy is essential to ensure we meet both our member and business needs, whether that involves ensuring our members are aware of the content available to them or ensuring new business lines (Live, Games) are effectively supported. We are looking for an exceptional technical leader to manage a team with a variety of role profiles and guide and shape our science and analytics approach to Messaging. The ideal candidate has a passion for diving into complex systems to shape the technical strategy of the team. Additionally, strong cross-functional collaboration skills are a must; the messaging space has a complex stakeholder landscape, and we sit at the intersection of it all. In success, this leader will help shape our broader messaging strategy in a way that drives strong impact across a multitude of business needs across Netflix. In this role, you will: Lead a team of mixed technical roles (Data Scientists, Analytics Engineers, and Data Engineers). Drive the vision and roadmap for the team, balancing the needs of multiple business. stakeholders while ensuring we maximize impact on the business. Be a strategic thought partner to shape the strategy of the broader Messaging domain; This is not a “sit back and let people tell you what to do” role. Drive a culture of innovation through collaboration with other leaders in the broader Data Science and Engineering space. Embody Netflix values in daily work and interactions. You have: Demonstrated experience leading Data Science or related area teams - particularly in domains with complex stakeholder environments or with greater flexibility to decide what the team focuses on. Exceptional interpersonal and communication skills, including proven ability to effectively collaborate with a variety of technical and non-technical business partners and other data science leaders. A passion for driving and influencing product strategies in a fast-paced, cross-functional environment. Ability to deal with ambiguity; a strong ownership mindset, a desire to thrive on minimal oversight and process, and a willingness to learn and rapidly absorb business context. Masters or PhD in Statistics, Computer Science, Mathematics, or related field preferred. Generally, our compensation structure consists solely of an annual salary; we do not have bonuses. You choose each year how much of your compensation you want in salary versus stock options. To determine your personal top of market compensation, we rely on market indicators and consider your specific job family, background, skills, and experience to determine your compensation in the market range. The range for this role is $480,000.00 - $750,000.00. This compensation range will vary based on location. Netflix provides comprehensive benefits including Health Plans, Mental Health support, a 401(k) Retirement Plan with employer match, Stock Option Program, Disability Programs, Health Savings and Flexible Spending Accounts, Family-forming benefits, and Life and Serious Injury Benefits. We also offer paid leave of absence programs. Full-time hourly employees accrue 35 days annually for paid time off to be used for vacation, holidays, and sick paid time off. Full-time salaried employees are immediately entitled to flexible time off. See more details about our Benefits here . Netflix is a unique culture and environment. Learn more here . Inclusion is a Netflix value and we strive to host a meaningful interview experience for all candidates. If you want an accommodation/adjustment for a disability or any other reason during the hiring process, please send a request to your recruiting partner. We are an equal-opportunity employer and celebrate diversity, recognizing that diversity builds stronger teams. We approach diversity and inclusion seriously and thoughtfully. We do not discriminate on the basis of race, religion, color, ancestry, national origin, caste, sex, sexual orientation, gender, gender identity or expression, age, disability, medical condition, pregnancy, genetic makeup, marital status, or military service. Job is open for no less than 7 days and will be removed when the position is filled.
Discord is used by over 200 million people every month for many different reasons, but there’s one thing that nearly everyone does on our platform: play video games. Over 90% of our users play games, spending a combined 1.5 billion hours playing thousands of unique titles on Discord each month. Discord plays a uniquely important role in the future of gaming. We are focused on making it easier and more fun for people to talk and hang out before, duri
RDQ225R487 Job Description Databricks is looking for a Senior Manager, Infrastructure Data Science to shape the future of Databricks infrastructure through data science. You will tackle some of the most complex challenges related to capacity planning, performance optimization, reliability engineering, infrastructure efficiency, and customer experience. You will lead a team of data scient
Join us in building the future of finance. Our mission is to democratize finance for all. An estimated $124 trillion of assets will be inherited by younger generations in the next two decades. The largest transfer of wealth in human history. If you’re ready to be at the epicenter of this historic cultural and financial s
Intercom is the AI Customer Service company on a mission to help businesses provide incredible customer experiences. Our AI agent Fin, the most advanced customer service AI agent on the market, lets businesses deliver always-on, impeccable customer service and ultimately transform their customer experiences for the better. Fin can also be combined with our Helpdesk to become a complete solution called the Intercom Customer Service Suite, which provides
Staples is business to business. You’re what binds us together. Join a dynamic Data Science team at Staples, dedicated to developing and scaling advanced analytics and ML/AI solutions that drive business growth across marketing, customer and product. Our collaborative group works closely with senior leaders, delivering high-impact initiatives that shape our strategies and create measurable value. Here, you’ll be part of a culture that encourages innovation, scientific rigor, and continuous learning, making a direct impact on how Staples serves its customers and achieves its goals. As a Senior Manager, Data Science, you will lead a talented team of Data Scientists, guiding the planning, execution, and delivery of analytics initiatives that influence strategy and performance. You’ll partner with cross-functional leaders to prioritize projects, drive operational excellence, and ensure insights are translated into actionable business outcomes. This is a leadership role with broad scope—shaping the team’s direction while driving adoption of cutting-edge methodologies and tools. What you’ll be doing: You’ll own the delivery of data science projects spanning customer acquisition, retention, and customer relationship management. Your work will include building predictive models, designing experiments, and presenting actionable recommendations that inform marketing and product strategies. Collaborating with teams across Marketing, Sales, Digital/Site Experience, and IT, you’ll translate business objectives into analytics roadmaps, drive continuous improvement, and foster a high-performing, innovative team environment. What you bring to the table: We’re looking for a strategic thinker and execution-focused leader who connects analytics to business objectives and delivers measurable results. You should be skilled in coaching, mentorship, and performance management, with a disciplined approach to experimentation and measurement. Strong communication and storytelling abilities are essential, along with the ability to thrive in fast-paced, evolving environments. Your expertise in stakeholder management and operational excellence will help build repeatable, scalable processes. What’s needed- Basic Qualifications: Bachelor’s degree in quantitative fields such as Data Science, Statistics, Mathematics, Economics, Computer Science, or Engineering or equivalent work experience 8 + years’ experience in data science and analytics, including hands-on model development and deployment 3 + years’ experience managing data science teams (including hiring, coaching and performance management), or equivalent project/program leadership experience Demonstrated experience in building and launching advanced analytics solutions for customer acquisition, segmentation and retention Proficiency in SQL, Python, PySpark, and data visualization tools (i.e. Power BI) Strong executive communication skills and experience translating analytics into actionable business recommendations What’s needed- Preferred Qualifications: Master’s degree in Statistics, Applied Math, Computer Science, or a related field 2+ years working in customer analytics domains such as Life Time Value (LTV), churn, personalization. Experience managing a portfolio of models with governance and monitoring Hands-on experience with relevant cloud based tools like Snowflake and Databricks Familiarity with marketing measurement techniques, including incrementality and uplift modeling Successful track record of improving key business KPIs through analytics Experience leading cross-functional programs and delivering on defined timelines We Offer: Inclusive culture with associate-led Business Resource Groups 22 days of PTO and Holiday Schedule (7 observed paid holidays + 1 floating holiday) Online and Retail Discounts, Company Match 401(k), Physical and Mental Health Wellness programs, and more! It is unlawful in Massachusetts to require or administer a lie detector test as a condition of employment or continued employment. An employer who violates this law shall be subject to criminal penalties and civil liability.* The salary range represents the expected compensation for this role at the time of posting. The specific base pay may be influenced by a variety of factors to include the candidate's experience, skill set, education, geography, business considerations, and internal equity. In addition to base pay, this role may be eligible for bonuses, or other forms of variable compensation.
At Netflix, our mission is to entertain the world. Together, we are writing the next episode - pushing the boundaries of storytelling, global fandom and making the unimaginable a reality. We are a dream team obsessed with the uncomfortable excitement of discovering what happens when you merge creativity, intuition and cutting-edge technology. Come be a part of what’s next. The Messaging Data Science and Engineering team aims to drive our Data Science, Analytics, and Data Engineering strategies for our messaging domain (off-service communications to our existing member base). In many ways, this space functions as a “mini Netflix”; it is a highly cross-functional team that sits at the intersection of our content, product, and algos domains. A strong messaging strategy is essential to ensure we meet both our member and business needs, whether that involves ensuring our members are aware of the content available to them or ensuring new business lines (Live, Games) are effectively supported. We are looking for an exceptional technical leader to manage a team with a variety of role profiles and guide and shape our science and analytics approach to Messaging. The ideal candidate has a passion for diving into complex systems to shape the technical strategy of the team. Additionally, strong cross-functional collaboration skills are a must; the messaging space has a complex stakeholder landscape, and we sit at the intersection of it all. In success, this leader will help shape our broader messaging strategy in a way that drives strong impact across a multitude of business needs across Netflix. In this role, you will: Lead a team of mixed technical roles (Data Scientists, Analytics Engineers, and Data Engineers). Drive the vision and roadmap for the team, balancing the needs of multiple business. stakeholders while ensuring we maximize impact on the business. Be a strategic thought partner to shape the strategy of the broader Messaging domain; This is not a “sit back and let people tell you what to do” role. Drive a culture of innovation through collaboration with other leaders in the broader Data Science and Engineering space. Embody Netflix values in daily work and interactions. You have: Demonstrated experience leading Data Science or related area teams - particularly in domains with complex stakeholder environments or with greater flexibility to decide what the team focuses on. Exceptional interpersonal and communication skills, including proven ability to effectively collaborate with a variety of technical and non-technical business partners and other data science leaders. A passion for driving and influencing product strategies in a fast-paced, cross-functional environment. Ability to deal with ambiguity; a strong ownership mindset, a desire to thrive on minimal oversight and process, and a willingness to learn and rapidly absorb business context. Masters or PhD in Statistics, Computer Science, Mathematics, or related field preferred. Generally, our compensation structure consists solely of an annual salary; we do not have bonuses. You choose each year how much of your compensation you want in salary versus stock options. To determine your personal top of market compensation, we rely on market indicators and consider your specific job family, background, skills, and experience to determine your compensation in the market range. The range for this role is $480,000.00 - $750,000.00. This compensation range will vary based on location. Netflix provides comprehensive benefits including Health Plans, Mental Health support, a 401(k) Retirement Plan with employer match, Stock Option Program, Disability Programs, Health Savings and Flexible Spending Accounts, Family-forming benefits, and Life and Serious Injury Benefits. We also offer paid leave of absence programs. Full-time hourly employees accrue 35 days annually for paid time off to be used for vacation, holidays, and sick paid time off. Full-time salaried employees are immediately entitled to flexible time off. See more details about our Benefits here . Netflix is a unique culture and environment. Learn more here . Inclusion is a Netflix value and we strive to host a meaningful interview experience for all candidates. If you want an accommodation/adjustment for a disability or any other reason during the hiring process, please send a request to your recruiting partner. We are an equal-opportunity employer and celebrate diversity, recognizing that diversity builds stronger teams. We approach diversity and inclusion seriously and thoughtfully. We do not discriminate on the basis of race, religion, color, ancestry, national origin, caste, sex, sexual orientation, gender, gender identity or expression, age, disability, medical condition, pregnancy, genetic makeup, marital status, or military service. Job is open for no less than 7 days and will be removed when the position is filled.
Toast creates technology to help restaurants and local businesses succeed in a digital world, helping business owners operate, increase sales, engage customers, and keep employees happy. As a Senior Engineering Manager for ML & AI, you will partner across the R&D org and represent the team as the data science and machine learning thought leader and set directions for the Data & AI team to deliver innovative machine learning solutions using our huge reservoir of restaurant,
About Pinterest: Millions of people around the world come to our platform to find creative ideas, dream about new possibilities and plan for memories that will last a lifetime. At Pinterest, we’re on a mission to bring everyone the inspiration to create a life they love, and that starts with the people behind the product. Discover a career where you ignite innovation for millions, transform passion into growth opportunities, celebrate
About Pinterest: Millions of people around the world come to our platform to find creative ideas, dream about new possibilities and plan for memories that will last a lifetime. At Pinterest, we’re on a mission to bring everyone the inspiration to create a life they love, and that starts with the people behind the product. Discover a career where you ignite innovation for millions, transform passion into growth opportunities, celebrate
Toast creates technology to help restaurants and local businesses succeed in a digital world, helping business owners operate, increase sales, engage customers, and keep employees happy. As a Senior Engineering Manager for ML & AI, you will partner across the R&D org and represent the team as the data science and machine learning thought leader and set directions for the Data & AI team to deliver innovative machine learning solutions using our huge reservoir of restaurant,
Discord is used by over 200 million people every month for many different reasons, but there’s one thing that nearly everyone does on our platform: play video games. Over 90% of our users play games, spending a combined 1.5 billion hours playing thousands of unique titles on Discord each month. Discord plays a uniquely important role in the future of gaming. We are focused on making it easier and more fun for people to talk and hang out before, duri
At Netflix, our mission is to entertain the world. Together, we are writing the next episode - pushing the boundaries of storytelling, global fandom and making the unimaginable a reality. We are a dream team obsessed with the uncomfortable excitement of discovering what happens when you merge creativity, intuition and cutting-edge technology. Come be a part of what’s next. The Messaging Data Science and Engineering team aims to drive our Data Science, Analytics, and Data Engineering strategies for our messaging domain (off-service communications to our existing member base). In many ways, this space functions as a “mini Netflix”; it is a highly cross-functional team that sits at the intersection of our content, product, and algos domains. A strong messaging strategy is essential to ensure we meet both our member and business needs, whether that involves ensuring our members are aware of the content available to them or ensuring new business lines (Live, Games) are effectively supported. We are looking for an exceptional technical leader to manage a team with a variety of role profiles and guide and shape our science and analytics approach to Messaging. The ideal candidate has a passion for diving into complex systems to shape the technical strategy of the team. Additionally, strong cross-functional collaboration skills are a must; the messaging space has a complex stakeholder landscape, and we sit at the intersection of it all. In success, this leader will help shape our broader messaging strategy in a way that drives strong impact across a multitude of business needs across Netflix. In this role, you will: Lead a team of mixed technical roles (Data Scientists, Analytics Engineers, and Data Engineers). Drive the vision and roadmap for the team, balancing the needs of multiple business. stakeholders while ensuring we maximize impact on the business. Be a strategic thought partner to shape the strategy of the broader Messaging domain; This is not a “sit back and let people tell you what to do” role. Drive a culture of innovation through collaboration with other leaders in the broader Data Science and Engineering space. Embody Netflix values in daily work and interactions. You have: Demonstrated experience leading Data Science or related area teams - particularly in domains with complex stakeholder environments or with greater flexibility to decide what the team focuses on. Exceptional interpersonal and communication skills, including proven ability to effectively collaborate with a variety of technical and non-technical business partners and other data science leaders. A passion for driving and influencing product strategies in a fast-paced, cross-functional environment. Ability to deal with ambiguity; a strong ownership mindset, a desire to thrive on minimal oversight and process, and a willingness to learn and rapidly absorb business context. Masters or PhD in Statistics, Computer Science, Mathematics, or related field preferred. Generally, our compensation structure consists solely of an annual salary; we do not have bonuses. You choose each year how much of your compensation you want in salary versus stock options. To determine your personal top of market compensation, we rely on market indicators and consider your specific job family, background, skills, and experience to determine your compensation in the market range. The range for this role is $480,000.00 - $750,000.00. This compensation range will vary based on location. Netflix provides comprehensive benefits including Health Plans, Mental Health support, a 401(k) Retirement Plan with employer match, Stock Option Program, Disability Programs, Health Savings and Flexible Spending Accounts, Family-forming benefits, and Life and Serious Injury Benefits. We also offer paid leave of absence programs. Full-time hourly employees accrue 35 days annually for paid time off to be used for vacation, holidays, and sick paid time off. Full-time salaried employees are immediately entitled to flexible time off. See more details about our Benefits here . Netflix is a unique culture and environment. Learn more here . Inclusion is a Netflix value and we strive to host a meaningful interview experience for all candidates. If you want an accommodation/adjustment for a disability or any other reason during the hiring process, please send a request to your recruiting partner. We are an equal-opportunity employer and celebrate diversity, recognizing that diversity builds stronger teams. We approach diversity and inclusion seriously and thoughtfully. We do not discriminate on the basis of race, religion, color, ancestry, national origin, caste, sex, sexual orientation, gender, gender identity or expression, age, disability, medical condition, pregnancy, genetic makeup, marital status, or military service. Job is open for no less than 7 days and will be removed when the position is filled.
Join us in building the future of finance. Our mission is to democratize finance for all. An estimated $124 trillion of assets will be inherited by younger generations in the next two decades. The largest transfer of wealth in human history. If you’re ready to be at the epicenter of this historic cultural and financial s
Senior Manager, Data Science – Payments & Treasury
GustoSan Francisco, CA;Los Angeles, CA;Seattle, WA;Toronto, Ontario, CAN - Remote;United States - Remoteremote
About Gusto At Gusto, we're on a mission to grow the small business economy. We handle the hard stuff—like payroll, health insurance, 401(k)s, and HR—so owners can focus on their craft and customers. With teams in Denver, San Francisco, and New York, we’re proud to support more than 400,000 small businesses across the country, and we’re building a workplace that repr
About Pinterest: Millions of people around the world come to our platform to find creative ideas, dream about new possibilities and plan for memories that will last a lifetime. At Pinterest, we’re on a mission to bring everyone the inspiration to create a life they love, and that starts with the people behind the product. Discover a career where you ignite innovation for millions, transform passion into growth opportunities, celebrate
Toast creates technology to help restaurants and local businesses succeed in a digital world, helping business owners operate, increase sales, engage customers, and keep employees happy. As a Senior Engineering Manager for ML & AI, you will partner across the R&D org and represent the team as the data science and machine learning thought leader and set directions for the Data & AI team to deliver innovative machine learning solutions using our huge reservoir of restaurant,
Discord is used by over 200 million people every month for many different reasons, but there’s one thing that nearly everyone does on our platform: play video games. Over 90% of our users play games, spending a combined 1.5 billion hours playing thousands of unique titles on Discord each month. Discord plays a uniquely important role in the future of gaming. We are focused on making it easier and more fun for people to talk and hang out before, duri
Intercom is the AI Customer Service company on a mission to help businesses provide incredible customer experiences. Our AI agent Fin, the most advanced customer service AI agent on the market, lets businesses deliver always-on, impeccable customer service and ultimately transform their customer experiences for the better. Fin can also be combined with our Helpdesk to become a complete solution called the Intercom Customer Service Suite, which provides
Onebrief is collaboration and AI-powered workflow software designed specifically for military staffs. By transforming this work, Onebrief makes the staff as a whole superhuman - meaning faster, smarter, and more efficient. We take ownership, seek excellence, and play to win with the seriousness and camaraderie of an Olympic team. Onebrief operates as an all-remote company, though many of our employees work alongside our customers at military commands around the world. Founded in 2019 by a group of experienced planners, today, Onebrief’s team spans veterans from all forces and global organizations, and technologists from leading-edge software companies. We’ve raised $320m+ from top-tier investors, including Battery Ventures, General Catalyst, Sapphire Ventures, Insight Partners, and Human Capital, and today, Onebrief is valued at $2.15B. With this continued growth, Onebrief is able to make an impact where it matters most. About the RoleAs a Data Science and Internal Tools Product Manage
Product managementData scienceInternal tools development
RDQ225R487 Job Description Databricks is looking for a Senior Manager, Infrastructure Data Science to shape the future of Databricks infrastructure through data science. You will tackle some of the most complex challenges related to capacity planning, performance optimization, reliability engineering, infrastructure efficiency, and customer experience. You will lead a team of data scient
Data Science Manager, Safety Discord is used by over 200 million people every month for many different reasons, but there’s one thing that nearly everyone does on our platform: play video games. Over 90% of our users play games, spending a combined 1.5 billion hours playing thousands of unique titles on Discord each month. Discord plays a uniquely important role in the future of gaming. We are focused on making it easier and more fun for people to talk and hang out before, during, and after playing games. As a manager on the Safety Data Science & Analytics team, you will help Discord achieve its mission of making it easier and more fun for people to talk and hang out before, during, and after playing games, while ensuring a safe environment that minimally disrupts positive user experiences. This is a hands-on technical manager role that supervises a smaller, stable team of 6. What you'll be doing - Directly manage a 6-person Analytics Data Science team across junior to senior levels, p
Direct experience on Safety...2+ years directly managing ...5+ years in data science or...Expertise in product analyt...Experience scaling and auto...+2 more
Senior Assistant Manager (Data Science Engineer), Artificial Intelligence Office (1-yr contract) Job ID: 8712 Job Function: Administration Institution: National University Health System Overview We are looking for a skilled Robotics Data Scientist to join our dynamic team. As a Robotics Data Scientist, you will play a key role in leveraging data analytics and machine learning techniques to drive innovation and optimization in robotic systems. You will work at the intersection of robotics, data science, and artificial intelligence to solve complex challenges and enhance the capabilities of robotic technologies. Key Responsibilities - Analyze data generated by robotic systems to gain insights into performance, efficiency, and reliability. - Develop predictive models and algorithms to optimize robotic operations, including motion planning, path optimization, and task scheduling. - Implement machine learning algorithms for perception and decision-making in robotic applications, such as obj
data analyticsmachine learning techniquesrobotics principlesprogramming languages: Pyth...libraries and frameworks fo...+1 more