Data Scientist Gen Ai Jobs

(Senior) Data Scientist AI & Generative AI (all genders)

Senior Data Scientist, Generative AI

$225,000 - $240,000/yr

Are you an entertainment news junkie? Do you thrill your friends with tales torn from famous and obscure sources about artists and performers of every ilk? Are you a bit of a data-head who's a little obsessed with entertainment charts, ranks, lists and stats? Do you knowingly smile to yourself as you watch a story's blow-up path, from the feeds to the web to TV, all fueled by the public's fascination with all things entertainment? And do you have an eye for fact-based stories and an understanding of the role data plays in their telling? If so, we'd like to talk! Luminate is the preeminent entertainment data and insights company, unlocking access to the most essential, objective, and trustworthy data compiled from thousands of verified data sources. The beneficiary of industry consolidation, Luminate now houses what was once Nielsen Music, BDS Radio, SoundScan, Music Connect, Alpha Data and Variety Business Intelligence. The Team: We are looking for a Senior Data Scientist, Generative AI to join our Data team in New York City, NY. Your role will include a combination of developing models and tools to be deployed into production systems and defining frameworks to measure and improve data quality standards. This is an IC position but will require you to collaborate with the Data team as well as with various technical and nontechnical team across our organization. Your work will directly impact the future of our Music and Film \& TV products. Responsibilities: Design, build, and deploy robust, scalable machine learning models that power core product features. You will write production-quality code and be responsible for the end-to-end implementation of AI/ML systems. Take full ownership of the model development process, including data sourcing and feature engineering, model training and validation, testing, and deployment. You will design and implement monitoring, logging, and alerting to ensure model performance, reliability, and health in a live environment. Collaborate closely with Product, Engineering, and Design teams to define the art of the possible. You'll stay on the absolute bleeding edge of AI, evaluating new tools, papers, and techniques to keep our products ahead of the curve. Champion and implement best practices for AI/MLOps, including model versioning, automated training pipelines, and CI/CD for machine learning, to improve the velocity and quality of our AI development. Qualifications: An advanced degree (MS or Ph.D.) in Computer Science, Engineering, Statistics, or a related field, or equivalent practical experience. 5+ years of professional experience focused on building and shipping production-level AI/ML systems. Have a deep, foundational knowledge of how LLMs work. Can speak confidently about transformer architecture, attention mechanisms, and the principles behind RAG, fine-tuning, and advanced prompt engineering. Expert-level proficiency in Python and its ecosystem and deep experience with AI/ML frameworks (such as LangChain, ai, and PyTorch). Hands-on experience deploying and managing models in a major cloud environment (AWS preferred), coupled with deep familiarity with modern data platforms like Snowflake. Possess an intuitive feel for writing elegant, efficient, and effective code. You thrive in a fast-paced, experimental environment where you can quickly bring ideas to life. Preferred Qualifications: Experience building autonomous AI agents or multi-agent systems. Contributions to major open-source AI projects. Knowledge of model optimization techniques like quantization or distillation. Experience with multi-modal models (text, image, audio). What makes us shine: Our People! We are music fans and gamers, film buffs and social scrollers, technologists and subject matter experts, scientists and developers and analysts who take immense pleasure in making sense of the data that drives entertainment, so everyone can get paid and more art can be made. That's why we do what we do. 100% paid for Medical / Dental / Vision Insurance, 401K with matching, and Employee Assistance Program (EAP) Hybrid Work - 4 In-Office Working days (Monday, Tuesdays, Wednesdays, Thursdays) with flexibility to WFH when needed Flexible Time Away / Time Off - You are empowered to do the things you enjoy outside of work too Community! - Participate, create, or develop our employee clubs, affinity groups and 2% Volunteer initiative which allows you to take paid time off to volunteer within your community Family Planning Assistance and Parental leave for all partners LGBTQ+ medical benefits and more! After submitting your application, you will receive a verification email. Please complete this verification to proceed with submitting your resume. For candidates based in NYC: A good faith estimate of the salary range is $225k - $240k + bonus upon hire. We consider your skills and experience, what similar jobs pay at companies of our size, and ensure fair pay among colleagues. Final base salary offer amounts are determined by factors including your experience, skills, and expertise. In addition we are proud to offer additional perks and benefits that contribute and complete our total compensation package. Luminate reserves the right to change our compensation bands at any time. Additionally, applicants must be authorized to work for any employer in the U.S. We are unable to sponsor or take over sponsorship of an employment Visa at this time. PMC is committed to the health and wellness of our employees. As part of our company-wide rollout of PMC's paid healthcare plan, for this role the company pays 100% of the monthly health, dental and vision plan premiums for the employee and their family. Details of participation in these benefit plans will be provided if an employee receives an offer of employment. More About Us: Luminate has incredible 30 year history that has made us who we are today. We power the Billboard Charts, but we also inform the entire music industry with exclusive research, data and insights. We serve the television and film industry, providing deep meta-data on every major production and title. Luminate is an equal opportunity employer, and all qualified applicants will receive consideration for employment without regard to race, color, religion, age, sex, national origin, disability status, genetics, protected veteran status, sexual orientation, gender identity or expression, or any other characteristic protected by federal, state or local laws. #LI-Hybrid

Principal Data Scientist, Agentic AI Professional Services

DESCRIPTION --------------- AWS is seeking an exceptional Principal Data Scientist to join our Agentic AI ProServe Experience (APEX) team. This role calls for an individual ready to tackle large-scale agentic AI challenges and drive innovative ML/AI practices that transform professional services delivery and address real-world customer needs. Reporting directly to the leader of APEX, this position is essential for revolutionizing AWS Professional Services' delivery capabilities through advanced agent-based AI systems. In addition to building ProServe Agents, you will driving their adoption across the ProServe builder community, enabling transformative customer engagements and partner enablement through AWS tools and services such as Kiro, AWS Transform, Strands, Bedrock, and Agentcore. The ideal candidate will possess extensive experience in agentic AI systems, multi-agent architectures, and complex data science environments, developing solutions that advance the state-of-the-art in agent-based professional services delivery. Proficiency with Machine Learning, Large Language Models, reinforcement learning, and advanced analytics techniques is essential, along with the ability to convey these technical concepts in simple terms to diverse stakeholders. The role demands both deep technical expertise and exceptional communication skills to drive adoption across the ProServe organization and partner ecosystem. Key job responsibilities Scientific Leadership Define and drive the scientific vision and roadmap for ProServe Agents and the agentic AI professional services portfolio Lead research and development initiatives to advance the state-of-the-art in agent-based AI systems for professional services workflows Collaborate with senior scientists across AWS to pioneer novel approaches to agent learning, reasoning, and interaction Publish innovative research at top-tier conferences and influence the broader scientific community Evaluate emerging research and identify opportunities to integrate techniques into ProServe Agent architecture Technical Excellence Architect complex multi-agent systems that can effectively understand, reason about, and execute professional services workflows at enterprise scale Lead the integration of Gen AI and ML-based methods across ProServe delivery practices, spearheading AI-driven agent development and adoption initiatives Establish rigorous evaluation frameworks and metrics for measuring agent effectiveness, safety, and business impact Develop production-ready agentic solutions leveraging AWS tools including Kiro, AWS Transform, Strands, Bedrock, and Bedrock AgentCore Customer \& Business Impact Translate complex technical concepts into clear business value propositions for ProServe builders, customers, and partners Lead high-visibility technical delivery for strategic customers, demonstrating ProServe Agent capabilities Drive adoption of ProServe Agents across the AWS Professional Services builder community, transforming delivery methodologies Enable AWS partners on agentic delivery mechanisms and best practices Analyze complex enterprise problems and design AI agent solutions that deliver measurable business outcomes Collaborate effectively with ProServe delivery teams, product, engineering, and design teams to create and launch innovative agent-based solutions Communicate complex agentic AI concepts clearly to diverse audiences across ProServe, customers, and partners Leadership \& Mentorship Provide thought leadership and technical direction on agentic AI strategies and their applications in professional services Drive innovation by sharing new technical solutions and product ideas across AWS teams Mentor and guide the data science, ML engineering, and ProServe builder communities Foster collaboration with key stakeholders to enhance the AWS ProServe experience BASIC QUALIFICATIONS ------------------------ Master's degree in Math, Statistics, Computer Science, or related Science field, or experience in data science, machine learning or data mining Experience building machine learning models or developing algorithms for business application PREFERRED QUALIFICATIONS ---------------------------- 8+ years of data scientist or similar role involving data extraction, analysis, statistical modeling and communication experience 4+ years of practical machine learning experience 2+ years of working with or evaluating AI systems experience Experience with Machine Learning and Large Language Model fundamentals, including architecture, training/inference lifecycles, and optimization of model execution, or experience debugging, profiling, and implementing best software engineering practices in large-scale systems Experience with one of the following areas: machine learning technologies, Reinforcement Learning, Deep Learning, Computer Vision, Natural Language Processing (NLP) or related applications Have publications at top-tier peer-reviewed conferences or journals Experience with AWS or cloud technologies Experience in technical leadership of development, testing, and implementation of large-scale, complex technology projects Experience driving collaborative projects from conception to delivery, or experience in development or technical support * Experience creating and delivering written and oral communications for technical and non-technical audiences Amazon is an equal opportunity employer and does not discriminate on the basis of protected veteran status, disability, or other legally protected status. Los Angeles County applicants: Job duties for this position include: work safely and cooperatively with other employees, supervisors, and staff; adhere to standards of excellence despite stressful conditions; communicate effectively and respectfully with employees, supervisors, and staff to ensure exceptional customer service; and follow all federal, state, and local laws and Company policies. Criminal history may have a direct, adverse, and negative relationship with some of the material job duties of this position. These include the duties and responsibilities listed above, as well as the abilities to adhere to company policies, exercise sound judgment, effectively manage stress and work safely and respectfully with others, exhibit trustworthiness and professionalism, and safeguard business operations and the Company’s reputation. Pursuant to the Los Angeles County Fair Chance Ordinance, we will consider for employment qualified applicants with arrest and conviction records. Our inclusive culture empowers Amazonians to deliver the best results for our customers. If you have a disability and need a workplace accommodation or adjustment during the application and hiring process, including support for the interview or onboarding process, please visit https://amazon.jobs/content/en/how-we-hire/accommodations for more information. If the country/region you’re applying in isn’t listed, please contact your Recruiting Partner. The base salary range for this position is listed below. Your Amazon package will include sign-on payments and restricted stock units (RSUs). Final compensation will be determined based on factors including experience, qualifications, and location. Amazon also offers comprehensive benefits including health insurance (medical, dental, vision, prescription, Basic Life \& AD\&D insurance and option for Supplemental life plans, EAP, Mental Health Support, Medical Advice Line, Flexible Spending Accounts, Adoption and Surrogacy Reimbursement coverage), 401(k) matching, paid time off, and parental leave. Learn more about our benefits at https://amazon.jobs/en/benefits. USA, CA, Mountain View - 217,800.00 - 294,700.00 USD annually USA, CA, San Diego - 189,400.00 - 256,200.00 USD annually USA, GA, Atlanta - 189,400.00 - 256,200.00 USD annually USA, MA, Boston - 189,400.00 - 256,200.00 USD annually USA, NY, New York - 208,300.00 - 281,800.00 USD annually USA, TX, Austin - 189,400.00 - 256,200.00 USD annually USA, TX, Dallas - 189,400.00 - 256,200.00 USD annually USA, VA, Arlington - 189,400.00 - 256,200.00 USD annually USA, WA, Seattle - 189,400.00 - 256,200.00 USD annually

Senior Data Scientist (Agentic AI)

Data Scientist_ GEN AI

Senior Data Scientist - Generative AI

$220,300 - $262,380/yr

Every day, tens of millions of people come to Roblox to explore, create, play, learn, and connect with friends in 3D immersive digital experiences– all created by our global community of developers and creators. At Roblox, we’re building the tools and platform that empower our community to bring any experience that they can imagine to life. Our vision is to reimagine the way people c

Principal Data Scientist, Agentic AI Professional Services

DESCRIPTION --------------- AWS is seeking an exceptional Principal Data Scientist to join our Agentic AI ProServe Experience (APEX) team. This role calls for an individual ready to tackle large-scale agentic AI challenges and drive innovative ML/AI practices that transform professional services delivery and address real-world customer needs. Reporting directly to the leader of APEX, this position is essential for revolutionizing AWS Professional Services' delivery capabilities through advanced agent-based AI systems. In addition to building ProServe Agents, you will driving their adoption across the ProServe builder community, enabling transformative customer engagements and partner enablement through AWS tools and services such as Kiro, AWS Transform, Strands, Bedrock, and Agentcore. The ideal candidate will possess extensive experience in agentic AI systems, multi-agent architectures, and complex data science environments, developing solutions that advance the state-of-the-art in agent-based professional services delivery. Proficiency with Machine Learning, Large Language Models, reinforcement learning, and advanced analytics techniques is essential, along with the ability to convey these technical concepts in simple terms to diverse stakeholders. The role demands both deep technical expertise and exceptional communication skills to drive adoption across the ProServe organization and partner ecosystem. Key job responsibilities Scientific Leadership Define and drive the scientific vision and roadmap for ProServe Agents and the agentic AI professional services portfolio Lead research and development initiatives to advance the state-of-the-art in agent-based AI systems for professional services workflows Collaborate with senior scientists across AWS to pioneer novel approaches to agent learning, reasoning, and interaction Publish innovative research at top-tier conferences and influence the broader scientific community Evaluate emerging research and identify opportunities to integrate techniques into ProServe Agent architecture Technical Excellence Architect complex multi-agent systems that can effectively understand, reason about, and execute professional services workflows at enterprise scale Lead the integration of Gen AI and ML-based methods across ProServe delivery practices, spearheading AI-driven agent development and adoption initiatives Establish rigorous evaluation frameworks and metrics for measuring agent effectiveness, safety, and business impact Develop production-ready agentic solutions leveraging AWS tools including Kiro, AWS Transform, Strands, Bedrock, and Bedrock AgentCore Customer \& Business Impact Translate complex technical concepts into clear business value propositions for ProServe builders, customers, and partners Lead high-visibility technical delivery for strategic customers, demonstrating ProServe Agent capabilities Drive adoption of ProServe Agents across the AWS Professional Services builder community, transforming delivery methodologies Enable AWS partners on agentic delivery mechanisms and best practices Analyze complex enterprise problems and design AI agent solutions that deliver measurable business outcomes Collaborate effectively with ProServe delivery teams, product, engineering, and design teams to create and launch innovative agent-based solutions Communicate complex agentic AI concepts clearly to diverse audiences across ProServe, customers, and partners Leadership \& Mentorship Provide thought leadership and technical direction on agentic AI strategies and their applications in professional services Drive innovation by sharing new technical solutions and product ideas across AWS teams Mentor and guide the data science, ML engineering, and ProServe builder communities Foster collaboration with key stakeholders to enhance the AWS ProServe experience BASIC QUALIFICATIONS ------------------------ Master's degree in Math, Statistics, Computer Science, or related Science field, or experience in data science, machine learning or data mining Experience building machine learning models or developing algorithms for business application PREFERRED QUALIFICATIONS ---------------------------- 8+ years of data scientist or similar role involving data extraction, analysis, statistical modeling and communication experience 4+ years of practical machine learning experience 2+ years of working with or evaluating AI systems experience Experience with Machine Learning and Large Language Model fundamentals, including architecture, training/inference lifecycles, and optimization of model execution, or experience debugging, profiling, and implementing best software engineering practices in large-scale systems Experience with one of the following areas: machine learning technologies, Reinforcement Learning, Deep Learning, Computer Vision, Natural Language Processing (NLP) or related applications Have publications at top-tier peer-reviewed conferences or journals Experience with AWS or cloud technologies Experience in technical leadership of development, testing, and implementation of large-scale, complex technology projects Experience driving collaborative projects from conception to delivery, or experience in development or technical support * Experience creating and delivering written and oral communications for technical and non-technical audiences Amazon is an equal opportunity employer and does not discriminate on the basis of protected veteran status, disability, or other legally protected status. Los Angeles County applicants: Job duties for this position include: work safely and cooperatively with other employees, supervisors, and staff; adhere to standards of excellence despite stressful conditions; communicate effectively and respectfully with employees, supervisors, and staff to ensure exceptional customer service; and follow all federal, state, and local laws and Company policies. Criminal history may have a direct, adverse, and negative relationship with some of the material job duties of this position. These include the duties and responsibilities listed above, as well as the abilities to adhere to company policies, exercise sound judgment, effectively manage stress and work safely and respectfully with others, exhibit trustworthiness and professionalism, and safeguard business operations and the Company’s reputation. Pursuant to the Los Angeles County Fair Chance Ordinance, we will consider for employment qualified applicants with arrest and conviction records. Our inclusive culture empowers Amazonians to deliver the best results for our customers. If you have a disability and need a workplace accommodation or adjustment during the application and hiring process, including support for the interview or onboarding process, please visit https://amazon.jobs/content/en/how-we-hire/accommodations for more information. If the country/region you’re applying in isn’t listed, please contact your Recruiting Partner. The base salary range for this position is listed below. Your Amazon package will include sign-on payments and restricted stock units (RSUs). Final compensation will be determined based on factors including experience, qualifications, and location. Amazon also offers comprehensive benefits including health insurance (medical, dental, vision, prescription, Basic Life \& AD\&D insurance and option for Supplemental life plans, EAP, Mental Health Support, Medical Advice Line, Flexible Spending Accounts, Adoption and Surrogacy Reimbursement coverage), 401(k) matching, paid time off, and parental leave. Learn more about our benefits at https://amazon.jobs/en/benefits. USA, CA, Mountain View - 217,800.00 - 294,700.00 USD annually USA, CA, San Diego - 189,400.00 - 256,200.00 USD annually USA, GA, Atlanta - 189,400.00 - 256,200.00 USD annually USA, MA, Boston - 189,400.00 - 256,200.00 USD annually USA, NY, New York - 208,300.00 - 281,800.00 USD annually USA, TX, Austin - 189,400.00 - 256,200.00 USD annually USA, TX, Dallas - 189,400.00 - 256,200.00 USD annually USA, VA, Arlington - 189,400.00 - 256,200.00 USD annually USA, WA, Seattle - 189,400.00 - 256,200.00 USD annually

Data Scientist, AI Agent

$140,000 - $280,000/yr

Senior Data Scientist - Generative AI

From $400/yr

Every day, tens of millions of people come to Roblox to explore, create, play, learn, and connect with friends in 3D immersive digital experiences– all created by our global community of developers and creators. At Roblox, we’re building the tools and platform that empower our community to bring any experience that they can imagine to life. Our vision is to reimagine the way people c

Senior Data Scientist - Generative AI

From $400/yr

Every day, tens of millions of people come to Roblox to explore, create, play, learn, and connect with friends in 3D immersive digital experiences– all created by our global community of developers and creators. At Roblox, we’re building the tools and platform that empower our community to bring any experience that they can imagine to life. Our vision is to reimagine the way people c

Data Scientist, AI Agent