Senior Data Scientist

Senior Data Scientist

  • Location RESTON, VA
  • Career Area Data Science and Analytics
  • Job Function Data Science and Analytics
  • Employment Type Regular/Permanent
  • Position Type Salary
  • Requisition WD1649156

What you'll do at

What you'll do...

Position: Senior Data Scientist

Job Location: 10790 Parkridge Blvd, Reston, VA, 20191

Duties: Understands, articulates, and applies principles of the defined strategy to routine business problems that involve a single function. Supports the understanding of the priority order of requirements and service level agreements. Helps identify the most suitable source for data that is fit for purpose. Performs initial data quality checks on extracted data. Analytical Modeling: Selects the analytical modeling technique most suitable for the structured, complex data and develops custom analytical models. Conducts exploratory data analysis activities (for example, basic statistical analysis, hypothesis testing, statistical inferences) on available data. Defines and finalizes features based on model responses and introduces new or revised features to enhance the analysis and outcomes. Identifies the dimensions of the experiment, finalizes the design, tests hypotheses, and conducts the experiment. Performs trend and cluster analysis on data to answer practical business problems and provides recommendations and key insights to the business. Mentors and guides junior associates on basic modeling and analytics techniques to solve complex problems. Identifies the model evaluation metrics. Applies best practice techniques for model testing and tuning to assess accuracy, fit, validity, and robustness for multi-stage models and model ensembles. Supports efforts to ensure that analytical models and techniques used can be deployed into production. Supports evaluation of the analytical model. Supports the scalability and sustainability of analytical models. Writes code to develop the required solution and application features by using the recommended programming language and leveraging business, technical, and data requirements. Tests the code using the recommended testing approach. Generates appropriate graphical representations of data and model outcomes. Understands customer requirements to design appropriate data representation for multiple data sets. Works with User Experience designers and User Interface engineers as required to build front end applications. Presents to and influences the team and business audience using the appropriate frameworks and conveys clear messages through business and stakeholder understanding. Customizes communication style based on stakeholder under guidance and leverages rational arguments.

Minimum education and experience required: Bachelor’s degree or the equivalent in Statistics, Computer Science, Data Science, or related field plus 3 years of experience in analytics or a related field; OR Master’s degree or the equivalent in Statistics, Computer Science, Data Science, or related field plus 1 year of experience in analytics or a related field; OR 5 years of experience in analytics or a related field.

Skills required: Must have experience with: Coding in languages like SQL, Python and PySpark; Various machine learning algorithms and techniques like clustering, regression, classification; Database technologies and distributed datastores (e.g., SQL, NoSQL); Working with unstructured data (text and images) and using machine learning models (BERT, CNN) for them; Impact of variables and features on machine learning model performance; Model fit testing, tuning, and validation techniques (e.g., Chi square, ROC curve, root mean square error); Multiple data visualization tools (for example, Python, Matplotlib, Ploty, Tableau, PowerBI etc.); Defining key metrics to track performance of machine learning model; Designing advance analytical solutions using statistics; and Automating data pipelines and model training processes to handle large amount of data. Employer will accept any amount of graduate coursework, graduate research experience or experience with the required skills.

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Wal-Mart is an Equal Opportunity Employer.

About Walmart

At Walmart, we help people save money so they can live better. This mission serves as the foundation for every decision we make, from responsible sourcing to sustainability—and everything in between. As a Walmart associate, you will play an integral role in shaping the future of retail, tech, merchandising, finance and hundreds of other industries—all while affecting the lives of millions of customers all over the world. Here, your work makes an impact every day. What are you waiting for?

Walmart, Inc. is an Equal Opportunity Employer- By Choice. We believe we are best equipped to help our associates, customers, and the communities we serve live better when we really know them. That means understanding, respecting, and valuing diversity- unique styles, experiences, identities, abilities, ideas and opinions- while being inclusive of all people.

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All the benefits you need for you and your family

  • Multiple health plan options, including vision & dental plans for you & dependents
  • Financial benefits including 401(k), stock purchase plans, life insurance and more
  • Associate discounts in-store and online
  • Education assistance for Associate and dependents
  • Parental Leave
  • Pay during military service
  • Paid Time off - to include vacation, sick, parental
  • Short-term and long-term disability for when you can't work because of injury, illness, or childbirth

Eligibility requirements apply to some benefits and may depend on your job classification and length of employment. Benefits are subject to change and may be subject to specific plan or program terms. For information about benefits and eligibility, see One.Walmart.com/Benefits.

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