What you'll do...

Position: Principal Data Scientist

Job Location: 850 Cherry Avenue, San Bruno, CA 94066

Duties: 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 code documentation, maintain playbooks, and provide timely progress updates. Analyze the business problem within one's discipline and question assumptions to help the business identify the root cause. Identify and recommend approaches to resolve the business problem to create effective technology focused solutions. Set relevant deliverables based on the established success criteria and define key metrics to measure progress and effectiveness of the solution. Quantify business impact. Understand the priority order of requirements and service level agreements. Define and identify the most suitable sources for required data that is fit for purpose. Perform initial data quality checks on the extracted data. Understand, articulate, interpret, and apply the principles of the defined strategy to business problems that may span one or more functions or domains. Evaluate proposed business cases for projects and initiatives. Translate business requirements into strategies, initiatives, and projects and align them to business strategy and objectives and drive the execution of deliverables. Build and articulate the business case and return on investment and deliver work that has demonstrable value. Identify and recommend the most suitable visualization tools based on context. Generate appropriate graphical representations of data and model outcomes. Understand customer requirements to design appropriate data representation for complex data sets and drive User Experience designers and User Interface engineers to build front end applications. Define application design based on customer requirements. Build compelling stories based on context to integrate multiple pieces of information into cohesive insights. Present to and influence diverse audiences using the appropriate data visualization frameworks and convey clear messages through deep business and stakeholder understanding. Customize communication style based on stakeholders and leverage relationships to drive behavioral change. Select appropriate modeling techniques for complex problems with large scale, multiple structured and unstructured data sets. Select and develop variables and features iteratively based on model responses in collaboration with the business. Conduct exploratory data analysis activities on available data. Identify dimensions and designs of experiments and create test and learn frameworks. Interpret data to identify trends to go across future data sets. Create continuous, online model learning along with iterative model enhancements. Develop newer techniques by leveraging the latest trends in machine learning, artificial intelligence to train algorithms to apply models to new data sets. Apply suitable techniques for model testing and tuning, to assess accuracy, fit, validity, and robustness. Ensure testing information is documented and maintained by the team. Deploy models or model ensemble and ensure sustainability and maintenance overtime. Implement model monitoring and model life-cycle management practices. Assist in creation of innovative user interfaces and support the use of models through collaboration.

Minimum education and experience required: Bachelor's degree or equivalent in Statistics, Economics, Analytics, Mathematics, Computer Science, Information Technology, Engineering (any), or related field and 5 years of post-bachelor's progressively responsible experience in an analytics related field; OR Master's degree or equivalent in Statistics, Economics, Analytics, Mathematics, Computer Science, Information Technology, Engineering (any), or related field and 3 years of post-bachelor's progressively responsible experience in an analytics related field.

Skills required: Experience leading the development and deployment of media attribution models, including MMM. Experience designing, executing, and measuring experimentational projects using A/B Tests, Causal Inference, and Difference in Difference. Experience writing optimized SQL queries in Hadoop, BigQuery, and Dataproc platforms for data mining, ETL processes, and the synthesis of large structured and unstructured data. Experience writing data pipelines and executing data transformations, statistical testing, experimentational techniques, mathematical and analytical model development in programming languages, including Python. Experience creating data visualization using business intelligence tools, including Tableau, PowerBI, and Adobe Analytics. Experience building classification machine learning algorithms, including Linear regression, Logistic Regression using Random Forest, and XGBoost. Experience providing recommendations using complex analytics to executive audiences. Experience modularizing a problem statement, developing a timelines plan, and working with multiple teams to achieve the same. Experience collaborating with multiple teams across functions, defining RACI metrics, and leading end-to-end projects. Experience documenting codes, methodologies, and projects using Github, Confluence, and SharePoint. Employer will accept any amount of experience with the required skills.

Salary Range: $166,473/year to $286,000/year. Additional compensation includes annual or quarterly performance 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.

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