Position: Senior Data Scientist

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

Duties: Provide recommendations to business stakeholders to solve complex business issues. Develops business cases for projects with a projected return on investment or cost savings. Translate business requirements into projects, activities, and tasks and align them to the overall business strategy. Serve as an interpreter and conduit to connect business needs with tangible solutions and results. Recommend new processes and ways of working. Identify the model evaluation metrics. Apply best practice techniques for model testing and tuning to assess accuracy, fit, validity, and robustness for multi-stage models and model ensembles. Develop newer techniques (for example, advance computer vision, deep learning algorithms, and auto ML) by leveraging the latest trends in machine learning and artificial intelligence to train algorithms to apply models to new data sets. Guide the team on feature engineering, experimentation, and advanced modeling techniques to be used for complex problems with unstructured and multiple data sets (for example, streaming data and raw text data). Deploy models to production. Continuously log and track model behavior once it is deployed against the defined metrics. Identify model parameters which may need modifications depending on the scale of deployment. Write code to develop the required solution and application features by determining the appropriate programming language and leveraging business, technical, and data requirements. Create test cases to review and validate the proposed solution design. Create proofs of concept. Test the code using the appropriate testing approach. Deploy software to production servers. Contribute to code documentation, maintain playbooks, and provide timely progress updates.

Minimum education and experience required: Master’s degree or equivalent in Statistics, Economics, Analytics, Mathematics, Computer Science, Information Technology, or related field and 1 year of experience in an analytics related field; OR Bachelor’s degree or equivalent in Statistics, Economics, Analytics, Mathematics, Computer Science, Information Technology, or related field and 3 years of experience in an analytics related field.

Skills required: Demonstrated expertise in writing efficient, optimized code and leveraging libraries including NumPy, Pandas, and scikit-learn for comprehensive data analysis and model development. Experience deploying and managing scalable data solutions on major cloud platforms (e.g., AWS, Azure, or GCP), including configuring virtual machines and overseeing data processing workflows. Experience in writing optimized SQL queries and managing complex database structures to support data extraction and analytics. Experience in developing, training, and deploying advanced ML and DL models, particularly for object detection and complex multi-data analyses. Experience in designing and deploying real-time image and video analysis pipelines with a focus on model optimization for improved accuracy and performance. Experience in designing and implementing robust ETL processes using tools including Python to efficiently handle data extraction, transformation, and loading. Experience utilizing Docker for containerizing applications and Kubernetes for orchestrating and scaling deployments in cloud environments. Experience in training, fine-tuning, and deploying state-of-the-art machine learning models to production, with experience in using tools including Weights & Biases and TensorBoard for continuous performance tracking and model monitoring. Experience with leading deep learning frameworks, including TensorFlow, Keras, and PyTorch, for building and deploying complex machine learning models. Experience with integrating machine learning components into software systems, writing maintainable code, performing code reviews, and ensuring detailed documentation. Experience using annotation platforms to manage data labeling workflows, including sending data for annotation and retrieving annotated data for model training and validation. Employer will accept any amount of 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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