Data Scientist Associate at Best Buy

We at Best Buy work hard every day to enrich the lives of customers through technology whether they come to us online visit our stores or invite us into their homes. We do this by solving technology problems and addressing key human needs across a range of areas including entertainment productivity communicating with coworkers and loved ones preparing nutritious food providing security for your home and family and helping you take your health to the next level.As a Data Scientist Associate you will drive changes for the Workforce business team. Your role impacts our labor strategy and adds value through innovative data capabilities and insights to optimize our labor planning. We seek candidates with experience to solve problems in forecasting optimization and operations. A strong candidate will have a background in a diverse range of data science and optimization research techniques and a strong understanding of its application in the retail industryWhat youll doCollect clean and preprocess large-scale datasets from BigQuery Teradata and other sources to create reliable features.Develop hypotheses and conduct exploratory data analysis to discover key predictors and drivers of workforce outcomes.Design train validate and optimize forecasting scheduling and labor cost models balancing productivity and fairness metrics.Conduct rigorous experimentation and causal analysis (A/B testing) to evaluate labor interventions impact on sales and employee satisfaction.Build and maintain dashboards and reports tracking labor KPIs and model performancePartner with MLOps teams to prepare models for deployment ensure version control enable experiment logging and implement performance monitoring and incident response protocols.Communicate complex model designs assumptions and business impact effectively to stakeholders to support data-driven labor planning and decisions.Basic qualificationsBachelors degree in a quantitative field (Data Science Statistics Computer Science Engineering Mathematics Operations Research etc.).2 years of relevant professional experience in analytics data science or a closely related field (or equivalent experience).2 years of experience using Python and SQL (e.g. BigQuery Teradata) for data wrangling analysis and modeling including hands-on use of core data science libraries such as NumPy Pandas SciPy scikit-learn and statsmodels.2 years of experience applying statistics data analysis and quantitative modeling to diverse business problems; able to design validate and clearly communicate predictive prescriptive and descriptive models.2 years of working knowledge of mathematical optimization and operations research; able to formulate and solve decision-making problems (e.g. resource allocation scheduling task assignment inventory routing) by translating business constraints into mathematical models.2 years of experience with time-series forecasting methods and libraries (e.g. Prophet statsmodels) and applying them to real business use cases.2 years of experience with Git/GitHub or similar version-control systems for collaborative development code review and reproducibility.1 year of experience with cloud ML pipeline orchestration (e.g. Kubeflow on GCP) including CI/CD artifact and metadata tracking monitoring execution and logging model/system metrics.1 years of experience with Bash or other shell scripting for workflow automation and data pipelines.Preferred qualificationsAdvanced experience with Python data manipulation and distributed computing libraries such as Polars and Dask. Proficiency with machine learning frameworks beyond the core stack including XGBoost LightGBM CatBoost PyTorch and TensorFlow/Keras.Strong grounding in advanced statistical and time-series techniques including hypothesis testing ANOVA ARIMA/SARIMA ETS bootstrapping and regression diagnostics.Expertise in mathematical optimization using solvers such as Gurobi OR-Tools PuLP Pyomo and CPLEX with strong knowledge of linear programming mixed-integer programming (MIP) and duality theory.Deep domain knowledge of retail workforce and supply chain operations.Experience with Google Cloud Platform tools including Vertex AI for managing the end-to-end machine learning lifecycle (data preparation model training hyperparameter tuning deployment and monitoring); familiar with Vertex AI Workbench AutoML for automated model building Vertex AI Pipelines for workflow orchestration Model Registry for managing models and integration with BigQuery and Cloud Storage for scalable data engineering and analytics.Proficiency in Business intelligence tools: Power BI Looker Looker Studio.Backend API development: FastAPI Flask for prediction and optimization services integrated with operational tools.Masters degree in a quantitative field (Data Science Statistics Computer Science Engineering Math Operations Research etc).Whats in it for youWere committed to helping our people thrive at work and at home. We offer generous benefits that address your total well-being and provide support as you need it especially key moments in your life.Our benefits include:Competitive payGenerous employee discountPhysical and mental well-being supportAbout usAs part of the Best Buy team youll help us fulfill our purpose to enrich lives through technology. We bring that to life every day by humanizing and personalizing tech solutions for every stage of life in our stores online and in customers homes.Our culture is built on deeply supporting and valuing our amazing employees who make it all possible. Were committed to being a great place to work where you can unlock unique career possibilities. Above all we aim to provide a place where you can bring your full authentic self to work now and into the future. Tomorrow works here.Best Buy is an equal opportunity employer.Required Experience:IC Key Skills Laboratory Experience,ELISA,Immunoassays,Transfection,Mammalian Cell Culture,Suspension Experience,Biochemistry,Assays,cGMP,Cell Culture,Molecular Biology,Flow Cytometry Employment Type : Full Time Experience: years Vacancy: 1