Data Scientist III

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What you'll do...

Position: Data Scientist III

Job Location: 10500 NE 8th Street (13th floor), Bellevue, WA 98004

Duties: Perform feature extraction using genAI large language models. Finetune and evaluate genAI large language models to support business use cases. Perform prompt engineering techniques to improve genAI large language model performance. Finetune and Evaluate transformer-based large language models to support business use cases. Design and evaluate architecture of transformer-based large language models. Perform feature engineering and enrichment from unstructured text data. Design vector databases to index and retrieve data using vector similarity search. Understand different vector indexing types and provide recommendation for business use case. Perform feature relevance experiments using explainable AI techniques to understand model behavior. Perform root cause analysis to understand deep learning model performance and data structure. Design elastic search queries to retrieve data efficiently. Visualize model performance using appropriate data visualization tools. Design concise and scalable annotation guidelines for data labeling. Supports the development of business cases and recommendations. Supports process updates and changes.  Understands the appropriate data set required to develop simple models by developing initial drafts. Maintains awareness of data quality. Understands, articulates, and applies principles of the defined strategy to routine business problems that involve a single function. 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. Mentors and guides junior associates on basic modeling and analytics techniques to solve complex problems. Supports efforts to ensure that analytical models and techniques used can be deployed into production. 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. Test the code using the recommended testing approach. Translates business problems within one's discipline to data related or mathematical solutions. Identifies what methods (for example, analytics, big data analytics, automation) would provide a solution for the problem. Shares use cases and gives examples to demonstrate how the method would solve the business problem. Supports model fit testing and statistical inferences to evaluate performance. Assesses the impact of variables and features on model performance. Generates appropriate graphical representations of data and model outcomes under guidance. Demonstrates up-to-date expertise and applies this to the development, execution, and improvement of action plans by providing expert advice and guidance to others in the application of information and best practices.

Minimum education and experience required: Master’s degree or equivalent in Statistics, Economics, Analytics, Mathematics, Computer Science, Information Technology, Engineering (any), or related field; OR Bachelor’s degree or equivalent in Statistics, Economics, Analytics, Mathematics, Computer Science, Information Technology, Engineering (any), or related field and 2 years of experience in an analytics or related field.

Skills required:  Experience coding in Python. Experience using Python data manipulation libraries including Pandas and NumPy for data processing and cleaning. Experience training and validating deep learning models (MLP and Transformer-based). Experience with feature relevance and selection using statistical methods. Experience with data visualization using Matplotlib and Seaborn. Experience with technical paper writing and documentation. Experience developing annotation guidelines for data labeling. Experience conducting root cause analysis to understand gaps in modeling framework and suggest improvements. Employer will accept any amount of graduate coursework, graduate research experience or professional experience with the required skills.

Salary Range: $118,414/year to $216,000/year. Additional compensation includes annual or quarterly performance incentives. Additional compensation for certain positions may also include: Regional Pay Zone (RPZ) (based on location) and Stock equity incentives.

Benefits: At Walmart, we offer competitive pay as well as performance-based incentive awards and other great benefits for a happier mind, body, and wallet. Health benefits include medical, vision and dental coverage. Financial benefits include 401(k), stock purchase and company-paid life insurance. Paid time off benefits include PTO (including sick leave), parental leave, family care leave, bereavement, jury duty and voting. Other benefits include short-term and long-term disability, education assistance with 100% company paid college degrees, company discounts, military service pay, adoption expense reimbursement, and more.

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 a specific plan or program terms. For information about benefits and eligibility, see One.Walmart.com.

Wal-Mart is an Equal Opportunity Employer.

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