Position: Data Scientist III
Job Location: 702 SW 8th Street, Bentonville, AR 72712
Duties: Leads small data analytics project teams and participates in larger teams by serving as a technical lead for analytics projects; working with project teams and business partners to determine project goals; developing contingency plans for data analysis; determining modelling based on business needs; directing data analysis; gathering data and developing reports as needed; utilizing business knowledge to ensure data supports project goals; analyzing data based on identified variables; reviewing data results to ensure accuracy; and communicating results and insights to the project team and business partners. Presents data insights and recommendations to key stakeholders by developing insights based on data analysis; applying analytical results to project goals; identifying trends and key insights; translating results into business actions; and presenting insights and recommendations to key stakeholders. Participates 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; building and maintaining a library of reusable algorithms for future use; ensuring developed code is documented; and coaching and mentoring analysts across the division and project teams. Develops analytical models to drive analytics insights by gathering data from internal and external sources; evaluating data usability based on project goals; synthesizing data into large datasets to support project goals; developing statistical models and computational algorithms to analyze data; utilizing the analytics project lifecycle process to drive predictive modelling; coding, testing, and maintaining analytical software tools; identifying trends, patterns and discrepancies in data; training statistical models for replication for future projects; and presenting data insights and recommendations to key stakeholders.
Minimum education and experience required: Bachelor’s degree or the equivalent in Computer Science, Analytics, Mathematics or a related field plus 2 years of data science experience or related experience; OR Master’s degree or the equivalent in Computer Science, Analytics, Mathematics or a related field plus 1 year of data science experience or related experience.
Skills required: Must have experience with: Using programming languages like SQL, Python and R to fetch, process and analyze data; Conducting Exploratory Data Analysis using packages like Pandas and NumPy; Performing missing data imputation as well as outlier detection and handling; Training machine learning models with packages like Scikit-learn and H2O; Evaluating model performance and optimizing it through feature selection and hyperparameter tuning; Explaining outputs from Machine Learning models using feature importance, SHAP and LIME; Time-series forecasting with ARIMA and Prophet; Leveraging version control systems such as Git; Generating data-driven insights to support decision-making processes; Using data visualization frameworks, such as Matplotlib and Plotly, to support visual identification of trends and patterns; Using cloud platforms such as AWS, GCP and Databricks; Designing and implementing scalable data pipelines, automating data workflows using Airflow, and using CI/CD tools such as Jenkins; Using tools like PySpark and Big Query to perform large scale data processing in a distributed environment; Containerization technologies like Docker and Kubernetes. Employer will accept any amount of experience with the required skills.
Wal-Mart is an Equal Opportunity Employer.
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