Data Scientist Jobs in Atlanta

Senior Data Scientist, Online Recommendations

From $195/yr

Req195396 Position Purpose The Sr. Data Scientist is responsible for leading data science initiatives that drive business profitability, increased efficiencies and improved customer experience. This role assists in the development of the Home Depot advanced analytics infrastructure that informs decision making. Sr. Data Scientists are expected to seek out business opportunities to leverage data science as a competitive advantage. Based on the specific data science team, this role would need to be Proficient in one or more data science specializations, such as optimization, computer vision, recommendation, search or NLP. As a Sr. Data Scientist, you will serve as a lead on data science projects, collaborating with project/product managers, providing prioritization of tasks, balancing workload and mentoring data scientists on the project team. This role is expected to present insights and recommendations to leaders and business partners and explain the benefits and impacts of the recommended solutions. This role supports the building of skilled and talented data science teams by providing input to staffing needs and participating in the recruiting and hiring process. In addition, Data Scientists collaborate with business partners and cross-functional teams, requiring effective communication skills, building relationships and partnerships, and leveraging business proficiency to solutions and recommendations. Key Responsibilities * 35% Solution Development - Proficiently design and develop algorithms and models to use against large datasets to create business insights; Execute tasks with high levels of efficiency and quality; Make appropriate selection, utilization and interpretation of advanced analytical methodologies; Effectively communicate insights and recommendations to both technical and non-technical leaders and business customers/partners; Prepare reports, updates and/or presentations related to progress made on a project or solution; Clearly communicate impacts of recommendations to drive alignment and appropriate implementation * 30% Project Management \& Team Support - Work with project teams and business partners to determine project goals; Provide direction on prioritization of work and ensure quality of work; Provide mentoring and coaching to more junior roles to support their technical competencies; Collaborate with managers and team in the distribution of workload and resources; Support recruiting and hiring efforts for the team * 20% Business Collaboration - Leverage extensive business knowledge into solution approach; Effectively develop trust and collaboration with internal customers and cross-functional teams; Provide general education on advanced analytics to technical and non-technical business partners; Deep understanding of IT needs for the team to be successful in tackling business problems; Actively seek out new business opportunities to leverage data science as a competitive advantage * 15% Technical Exploration \& Development - Seek further knowledge on key developments within data science, technical skill sets, and additional data sources; Participate in the continuous improvement of data science and analytics by developing replicable solutions (for example, codified data products, project documentation, process flowcharts) to ensure solutions are leveraged for future projects; Define best practices and develop clear vision for data analysis and model productionalization; Contribute to library of reusable algorithms for future use, ensuring developed codes are documented Direct Manager/Direct Reports * This position reports to manager or above * This position has 0 Direct Reports Travel Requirements * Typically requires overnight travel less than 10% of the time. Physical Requirements * Most of the time is spent sitting in a comfortable position and there is frequent opportunity to move about. On rare occasions there may be a need to move or lift light articles. Working Conditions * Located in a comfortable indoor area. Any unpleasant conditions would be infrequent and not objectionable. Minimum Qualifications * Must be eighteen years of age or older. * Must be legally permitted to work in the United States. Preferred Qualifications * PhD in a quantitative field (Computer Science, Math, Statistics, etc.) * 6+ years of experience in business intelligence and analytics * Working knowledge of Microsoft Excel and Power Point * Proficient in a modern scripting language (preferably Python) * Proficient running queries against data (preferably with Google BigQuery or SQL) * Proficient with data visualization software (preferably Tableau) * Mastery utilizing statistical techniques to identify key insights that help solve business problems * Proficient in Prescriptive Modeling like optimization, computer vision, recommendation, search or NLP * Demonstrated proficiency in predictive modeling, data mining and data analysis Minimum Education * The knowledge, skills and abilities typically acquired through the completion of a bachelor's degree program or equivalent degree in a field of study related to the job. Preferred Education * No additional education Minimum Years Of Work Experience * 5 Preferred Years Of Work Experience * No additional years of experience Minimum Leadership Experience * None Preferred Leadership Experience * None Certifications * None Competencies * Attracts Top Talent: Attracting and selecting the best talent to meet current and future business needs * Business Insight: Applying knowledge of the business and the marketplace to advance the organization's goals * Collaborates: Building partnerships and working collaboratively with others to meet shared objectives * Communicates Effectively: Developing and delivering multi-mode communications that convey a clear understanding of the unique needs of different audiences * Cultivates Innovation: Creating new and better ways for the organization to be successful * Customer Focus: Building strong customer relationships and delivering customer-centric solutions * Develops Talent: Developing people to meet both their career goals and the organization's goals * Directs Work: Provides direction, delegating and removing obstacles to get work done * Drives Results: Consistently achieving results, even under tough circumstances * Nimble Learning: Actively learning through experimentation when tackling new problems, using both successes and failures as learning fodder * Optimizes Work Processes: Knowing the most efficient and effective processes to get things done, with a focus on continuous improvement * Self-Development: Actively seeking new ways to grow and be challenged using both formal and informal development channels

University - Data Scientist

From $62,000/yr

Job Number: R0252610 University - Data Scientist The Opportunity: As a Data Scientist, you will support analytics projects that help clients make data‑driven decisions. You’ll apply foundational skills in data exploration, analysis, and visualization while learning industry‑leading methods in AI, machine learning, and cloud‑based analytics. Your work will help transform structured and unstructured data into actionable insights that advance mission‑focused outcomes. Join us. The world can’t wait. You Have:  * Experience with data exploration, data cleaning, data analysis, data visualization, or data mining * Experience with statistical and general-purpose programming languages for data analysis * Knowledge of structured and unstructured data sources * Ability to obtain a Secret clearance * Scheduled to obtain a Bachelor’s degree by Winter or Summer 2027  Nice If You Have:  * Ability to produce technical documentation and create design artifacts * Possession of excellent critical thinking and analytical skills * Possession of excellent verbal and written communication skills Clearance:  Applicants selected will be subject to a security investigation and may need to meet eligibility requirements for access to classified information. Compensation At Booz Allen, we celebrate your contributions, provide you with opportunities and choices, and support your total well-being. Our offerings include health, life, disability, financial, and retirement benefits, as well as paid leave, professional development, tuition assistance, work-life programs, and dependent care. Our recognition awards program acknowledges employees for exceptional performance and superior demonstration of our values. Full-time and part-time employees working at least 20 hours a week on a regular basis are eligible to participate in Booz Allen’s benefit programs. Individuals that do not meet the threshold are only eligible for select offerings, not inclusive of health benefits. We encourage you to learn more about our total benefits by visiting the Resource page on our Careers site and reviewing Our Employee Benefits page. Salary at Booz Allen is determined by various factors, including but not limited to location, the individual’s particular combination of education, knowledge, skills, competencies, and experience, as well as contract-specific affordability and organizational requirements. The projected compensation range for this position is $62,000.00 to $141,000.00 (annualized USD). The estimate displayed represents the typical salary range for this position and is just one component of Booz Allen’s total compensation package for employees. This posting will close within 90 days from the Posting Date. Identity Statement As part of the hiring process, we will ask you to complete an identity verification process that leverages advanced biometrics and artificial intelligence to ensure authenticity and protect against identity fraud. You are expected to be on camera during interviews and assessments. We reserve the right to take your picture to verify your identity and prevent fraud. Candidate AI Usage Policy AI is a part of our daily work at Booz Allen, and we are committed to the responsible and ethical use of AI tools. However, we want to ensure a fair candidate process based on your own skills and knowledge. As part of this commitment, the use of artificial intelligence (AI) or other tools to assist with responses during interviews (whether in-person or virtual) is prohibited unless permission is explicitly provided . Work Model Our people-first culture prioritizes the benefits of collaboration. To support engagement and effective communication, employees working virtually are generally expected to have their cameras on during meetings. * Remote: If this position is listed as remote, there may still be occasions when you are required to work in person at a Booz Allen or customer facility. * Hybrid: If this position is listed as hybrid, you will be expected to work from a Booz Allen or customer facility, in alignment with your leadership's expectations and the needs of the role. * Onsite: If this position is listed as onsite, work will primarily be performed full-time at a customer facility, where employees will collaborate directly with colleagues and customers as required by the role. Commitment to Non-Discrimination All qualified applicants will receive consideration for employment without regard to disability, status as a protected veteran or any other status protected by applicable federal, state, local, or international law.

Data Scientist- School of Medicine, Radiology and Imaging Sciences

From $503/yr

Discover Your Career at Emory University Emory University is a leading research university that fosters excellence and attracts world-class talent to innovate today and prepare leaders for the future. We welcome candidates who can contribute to the excellence of our academic community. Description Data Scientist in the HITI Lab (Radiology \& Imaging Sciences) responsible for building and maintaining large-scale multimodal breast imaging data pipelines, evaluating and validating clinical AI screening models, developing structured data extraction systems using LLMs, and conducting clinical analytics research for internal and external stakeholders. Position is externally funded through active NIH research grants. JOB DESCRIPTION: * Data Scientist is responsible for mining and analyzing data from various internal and external data sources to drive optimization and improvement of operations, clinical outcomes, and business strategies. Works with stakeholders throughout the organization to drive business solutions and are adept at using large data sets and models to test the effectiveness of different courses of action using predictive algorithms. * They assess the effectiveness and accuracy of new data sources and data gathering techniques. * Data Scientist is an expert in at least 1 programming language (e.g. R, SAS, Python), has proficiency in statistical theory and underlying mathematical distributions, and expertise in querying relational databases with SQL. * They have experience with of a variety of machine learning techniques (clustering, decision tree learning, artificial neural networks, etc.) and can demonstrate real-world application of these techniques. MINIMUM QUALIFICATIONS: * Master's or PhD in Statistics, Mathematics, Computer Science or another quantitative field and 3 years of relevant experience. PREFERRED QUALIFICATIONS: * Master’s degree in Data Science, Applied Statistics, Biomedical Informatics, or related field; 2+ years of data science experience; experience with clinical and medical imaging data (DICOM, EHR, HL7/FHIR); proficiency in Python, R, SQL; experience with cloud platforms (GCP, Azure) and ML pipelines. Additional Details Emory is an equal opportunity employer, and qualified applicants will receive consideration for employment without regard to race, color, religion, sex, national origin, disability, protected veteran status or other characteristics protected by state or federal law. Emory University does not discriminate in admissions, educational programs, or employment, including recruitment, hiring, promotions, transfers, discipline, terminations, wage and salary administration, benefits, and training. Students, faculty, and staff are assured of participation in university programs and in the use of facilities without such discrimination. Emory University complies with Section 503 of the Rehabilitation Act of 1973, the Vietnam Era Veteran's Readjustment Assistance Act, and applicable executive orders, federal and state regulations regarding nondiscrimination, equal opportunity, and affirmative action (for protected veterans and individuals with disabilities). Inquiries regarding this policy should be directed to the Emory University Department of Equity and Civil Rights Compliance, 201 Dowman Drive, Administration Building, Atlanta, GA 30322. Telephone: 404-727-9867 (V) | 404-712-2049 (TDD). Emory University is committed to ensuring equal access and providing reasonable accommodations to qualified individuals with disabilities upon request. To request this document in an alternate format or to seek a reasonable accommodation, please contact the Department of Accessibility Services at accessibility@emory.edu or call 404-727-9877 (Voice) | 404-712-2049 (TDD). We kindly ask that requests be made at least seven business days in advance to allow adequate time for coordination.

Principal Data Scientist

From $205/yr

JOB SUMMARY The Principal Data Scientist for Enterprise Data \& Customer Analytics provides senior technical leadership in the design, development, deployment, and responsible use of advanced analytics, machine learning, and generative AI solutions. This role transforms complex enterprise and customer data into actionable intelligence, production-ready models, and reusable analytical capabilities that improve customer experiences, business decisions, and operational outcomes. The position combines deep data science and software engineering expertise with business acumen, intellectual curiosity, and enterprise influence. The Principal Data Scientist works across business and technology teams to identify high-value opportunities, establish technical standards, guide model development, and communicate complex findings in a clear and decision-oriented manner. JOB REQUIREMENTS Education and Experience * Master's degree in Data Science, Computer Science, Statistics, Mathematics, Engineering, Artificial Intelligence, Machine Learning, or a closely related quantitative field is required. * Must have a minimum of 6 years of experience working with large, diverse, and sensitive datasets and translating analytical results into measurable business value. * Extensive progressive experience applying data science, machine learning, advanced analytics, or artificial intelligence to complex business problems, including experience serving as a senior technical lead or principal-level individual contributor. * Demonstrated experience developing, validating, deploying, monitoring, and improving analytical and machine learning models in enterprise environments. Experience in the energy, utility, customer analytics, or other highly regulated industry is preferred. * Technical Knowledge and Skills * Advanced proficiency in Python and PySpark for data preparation, exploratory analysis, feature engineering, statistical analysis, machine learning, and production-scale model development. * Strong hands-on knowledge of Databricks, including collaborative development, distributed computing with Apache Spark, ML lifecycle practices, model tracking, governed data access, and deployment patterns. * Advanced knowledge of statistical methods, experimental design, causal reasoning, predictive modeling, forecasting, classification, clustering, anomaly detection, and model evaluation. * Demonstrated knowledge of supervised and unsupervised learning, natural language processing, neural networks, ensemble methods, recommendation techniques, and other modern machine learning approaches. * Strong knowledge of large language models, including prompt design, model interaction patterns, retrieval-augmented generation, embeddings, vector search, evaluation, grounding, guardrails, and responsible AI considerations. * Experience developing or adapting models through techniques such as fine-tuning, parameter-efficient tuning, feature engineering, hyperparameter optimization, and systematic experimentation. * Ability to design reliable model evaluation approaches for predictive and generative AI solutions, including quality, accuracy, bias, explainability, safety, drift, performance, and business-impact measures. * Strong SQL and data engineering skills, including experience integrating structured and unstructured data across enterprise platforms and building repeatable analytical pipelines. * Knowledge of cloud-based data and AI platforms, software development practices, version control, automated testing, APIs, CI/CD, and MLOps or LLMOps practices. * Ability to debug and troubleshoot complex data, code, model, and performance issues across the analytical lifecycle. Working knowledge of data governance, data privacy, security, model risk, ethical AI, and the appropriate handling of customer and enterprise data. * Leadership and Business Skills * Ability to identify and shape high-value data science and AI opportunities in partnership with customer, operational, product, and technology stakeholders. * Strong consulting, facilitation, and communication skills, with the ability to translate technical concepts into meaningful business insight for audiences at all levels of the organization. * Demonstrated ability to provide technical direction, establish standards, influence without direct authority, and mentor data scientists, data engineers, analysts, and business partners. * Ability to balance innovation with production reliability, governance, customer impact, cost, and long-term maintainability. * Self-directed, results-oriented, and able to manage multiple complex assignments with limited technical guidance. Commitment to continuous learning and awareness of emerging data science, machine learning, and generative AI trends. * MAJOR JOB RESPONSIBILITIES * Partner with Enterprise Data \& Customer Analytics leaders and business stakeholders to identify, prioritize, and refine use cases that improve customer experiences, operational performance, decision-making, and enterprise value. * Develop production-quality solutions using Databricks, Python, PySpark, SQL, and related cloud technologies, ensuring that analytical work is scalable, reusable, testable, documented, and supportable. * Design and evaluate solutions that interact with large language models, including prompt-based applications, retrieval-augmented generation, grounded question answering, summarization, classification, and agentic or workflow-oriented patterns where appropriate. * Establish rigorous experimentation and evaluation methods to validate assumptions, compare alternatives, quantify model performance, and determine whether solutions are ready for production use. * Define and promote data science, MLOps, LLMOps, responsible AI, model documentation, and monitoring standards in alignment with enterprise architecture, governance, privacy, security, and risk requirements. * Monitor model and solution performance, identify drift or degradation, perform root-cause analysis, and recommend retraining, redesign, retirement, or other corrective actions. * Collaborate with data engineers, architects, analysts, application teams, cybersecurity, governance teams, and business stakeholders to ensure required data and platforms are trusted, accessible, secure, and fit for purpose. * Create reusable code, features, frameworks, reference patterns, evaluation assets, and documentation that accelerate future analytics and AI delivery. * Communicate methods, findings, limitations, risks, and recommendations through executive presentations, business reports, technical documentation, white papers, and demonstrations. * Provide technical leadership and mentorship to data science and analytics practitioners through design reviews, code reviews, paired problem-solving, training, and communities of practice. * Evaluate emerging methods, tools, and research; conduct targeted prototypes; and recommend adoption when capabilities demonstrate clear business relevance and responsible use. Build internal and external partnerships to share practices, monitor industry developments, and strengthen the organization's data science and AI capabilities. * DECISION-MAKING AND TASK COMPLEXITY This role operates with a high degree of technical autonomy and is expected to make significant decisions regarding analytical methods, model design, experimentation, evaluation, and implementation. Assignments are varied, ambiguous, and highly complex, often requiring original problem-solving, advanced quantitative methods, and coordination across multiple business and technology areas. The role seeks leadership alignment for material business, risk, funding, or policy decisions and follows all applicable company standards and controls. WORK DIRECTION AND TECHNICAL LEADERSHIP This is a principal-level individual contributor role. The position may provide work direction and technical leadership to cross-functional teams, project resources, consultants, and less-experienced practitioners. Responsibilities may include setting technical approaches, reviewing analytical designs and code, mentoring others, and guiding delivery quality. Unless separately assigned, the role does not have direct authority for hiring, termination, performance appraisal, or discipline. CORE BEHAVIORAL ATTRIBUTES The successful candidate will demonstrate understanding and application of the Southern Company behaviors: Unquestionable Trust, Superior Performance, and Total Commitment. * Acts ethically and protects customer, employee, and company data. * Delivers results with accountability, sound judgment, and attention to quality. * Thinks strategically and maintains an enterprise perspective when designing sustainable solutions. * Innovates responsibly and tests assumptions with evidence. * Builds constructive partnerships and works effectively across business and technology teams. * Communicates candidly, clearly, and respectfully. * Develops others through coaching, knowledge sharing, and technical mentorship. * Adapts to changing priorities and acts with appropriate speed and decisiveness. Demonstrates commitment to continuous learning, inclusion, and safe work practices. * PREFERRED DIFFERENTIATORS * Experience delivering customer analytics use cases such as segmentation, propensity, personalization, forecasting, customer journey analysis, service optimization, or next-best-action recommendations. * Experience combining enterprise data products with advanced analytics and generative AI capabilities. * Published research, patents, conference presentations, open-source contributions, or recognized thought leadership in data science, machine learning, or artificial intelligence. * Experience establishing reusable analytical frameworks, technical standards, or enterprise communities of practice. About Southern Company Southern Company (NYSE: SO ) is a leading energy provider serving 9 million customers across the Southeast and beyond through its family of companies. Providing clean, safe, reliable and affordable energy with excellent service is our mission. The company has electric operating companies in three states, natural gas distribution companies in four states, a competitive generation company, a leading distributed energy solutions provider with national capabilities, a fiber optics network and telecommunications services. Through an industry-leading commitment to innovation, resilience and sustainability, we are taking action to meet customers' and communities' needs while advancing our goal of net-zero greenhouse gas emissions by 2050. Our uncompromising values ensure we put the needs of those we serve at the center of everything we do and are the key to our sustained success. We are transforming energy into economic, environmental and social progress for tomorrow. Our corporate culture has been recognized by a variety of organizations, earning the company awards and recognitions that reflect Our Values and dedication to service. To learn more, visit www.southerncompany.com . Southern Company invests in the well-being of its employees and their families through a comprehensive total rewards strategy that includes competitive base salary, annual incentive awards for eligible employees and health, welfare and retirement benefits designed to support physical, financial, and emotional/social well-being. This position may also be eligible for additional compensation, such as an incentive program, with the amount of any bonus/awards subject to the terms and conditions of the applicable incentive plan(s). A summary of the benefits offered for this position can be found here https://seo.nlx.org/southernco/pdf/SOCO-Benefits.pdf . Additional and specific details about total compensation and benefits will also be provided during the hiring process. Southern Company is an equal opportunity employer where an applicant's qualifications are considered without regard to race, color, religion, sex, national origin, age, disability, veteran status, genetic information, sexual orientation, gender identity or expression, or any other basis prohibited by law.

Data Scientist

Position Type Full time Type Of Hire Experienced (relevant combo of work and education) Job Description Are you curious, motivated, and forward-thinking? At FIS you’ll have the opportunity to work on some of the most challenging and relevant issues in financial services and technology. Our talented people empower us, and we believe in being part of a team that is open, collaborative, entrepreneurial, passionate and above all fun. About The Role As a key member of the Data Science team, the data scientist will deploy data-driven exploratory analysis as well as predictive models and AI solutions to solve business problems across the financial services industry, particularly in Risk, Fraud, Marketing, and Portfolio Management. Following the machine learning lifecycle, the data scientist should be able to convert the results into actionable product recommendations to present internally and externally. What You'll Be Doing * Participate in the design, development, validation, deployment, and monitoring of advanced analytics, machine learning, and AI solutions that drive measurable business outcomes * Leverage expertise in data structures and algorithms to analyze and prepare data for modeling, assembling datasets from both standard and novel data sources and incorporate them into end-to-end analytical solutions * Apply advanced machine learning, predictive analytics, natural language processing (NLP), and emerging AI techniques (GenAI, Agentic etc.) to solve complex business problems across the payments and financial services ecosystem * Design and execute experiments, hypothesis testing frameworks, and statistical analyses to evaluate business strategies, product enhancements, and operational improvements * Establish and promote best practices in data science, machine learning, feature engineering, experimentation, model governance, and MLOps throughout the organization * Stay current on industry trends in machine learning, AI, Generative AI, and financial services analytics; bring relevant innovations to the team What You Bring * Master's degree or higher in Mathematics, Computer Science, Engineering, Operations Research, Statistics, or a related quantitative discipline * 1-3 years of experience developing and deploying end-to-end machine learning, predictive analytics, and data science solutions within the Payments, Banking, or Financial Services industry * Strong proficiency in Python and SQL; experience with big data technologies such as Spark, PySpark, a plus * Hands-on experience with data wrangling, feature engineering, and model development using libraries such as Pandas, NumPy, Scikit-learn, Matplotlib, Seaborn, or Plotly * Demonstrated experience building and deploying machine learning models in a production or near-production environment * Proficiency with data visualization and business intelligence tools (e.g., Tableau or equivalent) * Strong analytical thinking and problem-solving skills; ability to translate ambiguous business problems into rigorous analytical frameworks * Ability to work collaboratively across product, engineering, and business teams Nice To Have * Experience within the Payments, Banking, or Financial Services industry * Hands-on experience with the Databricks platform, including MLflow, Model Registry, collaborative notebooks, and MLOps workflows * Experience deploying cloud-native machine learning solutions, particularly within AWS environments * Familiarity with emerging advancements in Transformer Models and Agentic AI technologies * Knowledge of model governance, regulatory compliance, and MLOps best practices within regulated financial services environments What We Offer You A career at FIS is more than just a job. It’s the chance to shape the future of fintech. At FIS, we offer you~ * A voice in the future of fintech * Always-on learning and development * Collaborative work environment * Opportunities to give back * Competitive salary and benefits Privacy Statement FIS is committed to protecting the privacy and security of all personal information that we process in order to provide services to our clients. For specific information on how FIS protects personal information online, please see the Online Privacy Notice. EEOC Statement FIS is an equal opportunity employer. We evaluate qualified applicants without regard to race, color, religion, sex, sexual orientation, gender identity, marital status, genetic information, national origin, disability, veteran status, and other protected characteristics. The EEO is the Law poster is available here supplement document available here For positions located in the US, the following conditions apply. If you are made a conditional offer of employment, you will be required to undergo a drug test. ADA Disclaimer~ In developing this job description care was taken to include all competencies needed to successfully perform in this position. However, for Americans with Disabilities Act (ADA) purposes, the essential functions of the job may or may not have been described for purposes of ADA reasonable accommodation. All reasonable accommodation requests will be reviewed and evaluated on a case-by-case basis. Sourcing Model Recruitment at FIS works primarily on a direct sourcing model; a relatively small portion of our hiring is through recruitment agencies. FIS does not accept resumes from recruitment agencies which are not on the preferred supplier list and is not responsible for any related fees for resumes submitted to job postings, our employees, or any other part of our company. #pridepass

Senior Data Scientist, Online

From $195/yr

Req195877 Position Purpose The Sr. Data Scientist is responsible for leading data science initiatives that drive business profitability, increased efficiencies and improved customer experience. This role assists in the development of the Home Depot advanced analytics infrastructure that informs decision making. Sr. Data Scientists are expected to seek out business opportunities to leverage data science as a competitive advantage. Based on the specific data science team, this role would need to be Proficient in one or more data science specializations, such as optimization, computer vision, recommendation, search or NLP. As a Sr. Data Scientist, you will serve as a lead on data science projects, collaborating with project/product managers, providing prioritization of tasks, balancing workload and mentoring data scientists on the project team. This role is expected to present insights and recommendations to leaders and business partners and explain the benefits and impacts of the recommended solutions. This role supports the building of skilled and talented data science teams by providing input to staffing needs and participating in the recruiting and hiring process. In addition, Data Scientists collaborate with business partners and cross-functional teams, requiring effective communication skills, building relationships and partnerships, and leveraging business proficiency to solutions and recommendations. Key Responsibilities * 35% Solution Development - Proficiently design and develop algorithms and models to use against large datasets to create business insights; Execute tasks with high levels of efficiency and quality; Make appropriate selection, utilization and interpretation of advanced analytical methodologies; Effectively communicate insights and recommendations to both technical and non-technical leaders and business customers/partners; Prepare reports, updates and/or presentations related to progress made on a project or solution; Clearly communicate impacts of recommendations to drive alignment and appropriate implementation * 30% Project Management \& Team Support - Work with project teams and business partners to determine project goals; Provide direction on prioritization of work and ensure quality of work; Provide mentoring and coaching to more junior roles to support their technical competencies; Collaborate with managers and team in the distribution of workload and resources; Support recruiting and hiring efforts for the team * 20% Business Collaboration - Leverage extensive business knowledge into solution approach; Effectively develop trust and collaboration with internal customers and cross-functional teams; Provide general education on advanced analytics to technical and non-technical business partners; Deep understanding of IT needs for the team to be successful in tackling business problems; Actively seek out new business opportunities to leverage data science as a competitive advantage * 15% Technical Exploration \& Development - Seek further knowledge on key developments within data science, technical skill sets, and additional data sources; Participate in the continuous improvement of data science and analytics by developing replicable solutions (for example, codified data products, project documentation, process flowcharts) to ensure solutions are leveraged for future projects; Define best practices and develop clear vision for data analysis and model productionalization; Contribute to library of reusable algorithms for future use, ensuring developed codes are documented Direct Manager/Direct Reports * This position reports to manager or above * This position has 0 Direct Reports Travel Requirements * Typically requires overnight travel less than 10% of the time. Physical Requirements * Most of the time is spent sitting in a comfortable position and there is frequent opportunity to move about. On rare occasions there may be a need to move or lift light articles. Working Conditions * Located in a comfortable indoor area. Any unpleasant conditions would be infrequent and not objectionable. Minimum Qualifications * Must be eighteen years of age or older. * Must be legally permitted to work in the United States. Preferred Qualifications * PhD in a quantitative field (Computer Science, Math, Statistics, etc.) * 6+ years of experience in business intelligence and analytics * Working knowledge of Microsoft Excel and Power Point * Proficient in a modern scripting language (preferably Python) * Proficient running queries against data (preferably with Google BigQuery or SQL) * Proficient with data visualization software (preferably Tableau) * Mastery utilizing statistical techniques to identify key insights that help solve business problems * Proficient in Prescriptive Modeling like optimization, computer vision, recommendation, search or NLP * Demonstrated proficiency in predictive modeling, data mining and data analysis Minimum Education * The knowledge, skills and abilities typically acquired through the completion of a bachelor's degree program or equivalent degree in a field of study related to the job. Preferred Education * No additional education Minimum Years Of Work Experience * 5 Preferred Years Of Work Experience * No additional years of experience Minimum Leadership Experience * None Preferred Leadership Experience * None Certifications * None Competencies * Attracts Top Talent: Attracting and selecting the best talent to meet current and future business needs * Business Insight: Applying knowledge of the business and the marketplace to advance the organization's goals * Collaborates: Building partnerships and working collaboratively with others to meet shared objectives * Communicates Effectively: Developing and delivering multi-mode communications that convey a clear understanding of the unique needs of different audiences * Cultivates Innovation: Creating new and better ways for the organization to be successful * Customer Focus: Building strong customer relationships and delivering customer-centric solutions * Develops Talent: Developing people to meet both their career goals and the organization's goals * Directs Work: Provides direction, delegating and removing obstacles to get work done * Drives Results: Consistently achieving results, even under tough circumstances * Nimble Learning: Actively learning through experimentation when tackling new problems, using both successes and failures as learning fodder * Optimizes Work Processes: Knowing the most efficient and effective processes to get things done, with a focus on continuous improvement * Self-Development: Actively seeking new ways to grow and be challenged using both formal and informal development channels

Data Scientist, Digital

$10 - $20/yr

Purpose: The Data Scientist, Digital Machine Learning (ML), develops, deploys, and maintains ML models that support Floor \& Decor's digital customer experience across flooranddecor.com, FND apps, and omnichannel digital shopping tools. Areas of responsibility include personalization and recommendations, product search and discovery, product data enrichment, and customer intent signals. Working cross-functionally with Ecommerce Product, Engineering \& Analytics, Data Engineering, Merchandising, and Digital Marketing, this role advances models from development through production deployment, monitoring, and continuous improvement. The position adheres to the team's technical standards and partners closely with the Senior Data Scientist, Digital, to deliver measurable improvements in how customers find, evaluate, and select products. Minimum Qualifications: * Bachelor's degree in Computer Science, Statistics, Mathematics, Engineering, Economics, or a related quantitative field (advanced degree a plus); relevant experience can be substituted for the required education on the basis of one calendar year of experience for one academic year of education. * 3+ years of experience in data science or machine learning, including hands-on contribution to at least one model deployed into a production system, or an equivalent combination of education and experience sufficient to perform the essential functions of the job, as determined by the company. * Experience building machine learning for live, customer-facing digital products such as search, recommendations, ranking, personalization, or ads, in e-commerce, marketplaces, media, or similar environments. * Strong proficiency in Python and SQL, writing clean, tested, production-ready code. * Solid foundation in machine learning, including classification, ranking, and recommendation approaches. * Familiarity with ML lifecycle practices, including automated training and scoring pipelines, deployment, and monitoring. * Experience designing and analyzing A/B tests and interpreting results for business partners. * Proficiency with AI-assisted development tools (e.g., Claude Code, GitHub Copilot, Cursor) to accelerate exploration, modeling, and engineering. Preferred: * Databricks on Azure, PySpark, and CI/CD for ML. * Experience extending, evaluating, or migrating commercial search or personalization platforms (e.g., Bloomreach, Constructor, Algolia, Dynamic Yield, Salesforce). * Experience with deep learning recommenders, embeddings, or LLMs applied to product, content, or customer data. * Experience with clickstream and customer behavioral data. * Ecommerce or omnichannel retail experience, ideally in high-consideration, project-based categories. Competencies: * Analytical Problem-Solving * Technical Communication * Organization \& Adaptability * Collaboration Across Product Teams * Integrity, Humility \& Teamwork Essential Functions / Key Responsibilities: * Build and maintain recommendation models across site and app, including similar products, "complete the project" recommendations (e.g., tile with the setting materials, tools, and underlayment the project requires), and continue-your-project experiences. * Develop session-based models that infer shopper intent (project type, style, DIY vs. Pro, stage in the purchase journey) for anonymous and infrequent visitors. * Rank content, offers, and modules across the home page, category and product pages, and app. * Contribute to product search improvements, including query classification, synonyms, and relevance evaluation. * Apply LLMs and embeddings to enrich product attributes that improve search, filtering, and recommendations, with quality checks on technical specifications, and support evaluation of LLM-powered features by building evaluation sets and reviewing output quality. * Produce digital propensity and intent scores (e.g., sample-to-purchase conversion, Pro identification) for the site, app, and marketing systems, leveraging enterprise customer segments from Customer Analytics \& Insights rather than building parallel segmentation. * Contribute to shared ML assets that carry across Ecommerce platform and vendor changes, and support vendor evaluations with analysis on Floor \& Decor data. * Bring personalization, search, and recommendations to Floor \& Decor's upcoming PRO app, using Pro purchase history, project patterns, and loyalty data to drive app adoption, engagement, and share of wallet with Pro customers. * Deploy and operate models on Databricks following team standards; monitor performance, data quality, and drift, and retrain as needed. * Partner with Data Engineering, Product, and Engineering on the data and event tracking needed to train and measure models. * Design and analyze A/B tests for model-driven features and measure incremental impact on conversion, average order value, and engagement. Standard digital performance reporting is owned by Ecommerce Analytics. * Communicate results, tradeoffs, and recommendations to product teams and business stakeholders in a clear, actionable way. * Maintain clear documentation of methodologies, model assumptions, and limitations, and participate in code and design reviews. * Stay abreast of industry trends and best practices in personalization, search, recommender systems, and applied data science. * Be compliant with all appropriate Privacy Preferences, Responsible AI, and Security protocols, including customer consent and preference requirements for personalization. Travel Required: * Travel may be required, typically less than 10%, including occasional air and car travel. Working Conditions: The role is based in the Store Support Center in Atlanta, GA. Work is primarily sedentary, involving extended periods of sitting at a computer, with occasional walking or standing. The work environment is typically quiet to moderate. Physical/Sensory Requirements: Sedentary work – ability to exert up to 10–20 lbs. occasionally and negligible force frequently to lift, carry, push, or pull objects. Note: Floor \& Decor considers all applicants for employment without regard to race, color, religion, sex, gender identity, sexual orientation, national origin, age, disability, medical condition, pregnancy, marital or familial status, veteran status, or based on any other class protected by applicable federal, state, or local law. Floor \& Decor also provides reasonable accommodations to qualified individuals with disabilities in accordance with the Americans with Disabilities Act and applicable state and local law. This job description does not constitute an employment agreement between the employer and the employee and is subject to change by the employer at its sole discretion. Benefits \& Rewards Bonus opportunities \& career advancement opportunities at every level Programs that help you reach your financial goals: 401k with company match, Employee Stock Purchase Plan, and Referral Bonus Program Medical, Dental, Vision, Life, and other Insurance Plans (subject to eligibility criteria) Work-life balance, including: * Paid vacation and sick time for eligible associates * Paid holidays plus a personal holiday * Paid Volunteer Time Off that starts on Day 1 Equal Employment Opportunity Floor \& Decor provides equal employment opportunities to all associates and applicants without regard to age, race, color, religion or creed, national origin or ancestry, sex (including pregnancy), sexual orientation, gender, gender identity, disability, veteran status, genetic information, ethnicity, citizenship, or any other category protected by law. This policy applies to all areas of employment, including recruitment, testing, screening, hiring, selection for training, upgrading, transfer, demotion, layoff, discipline, termination, compensation, benefits and all other privileges, terms and conditions of employment. This policy and the law prohibit employment discrimination against any associate or applicant on the basis of any legally protected status outlined above.