Senior Data Scientist

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What you'll do... Job title: Senior Data Scientist

Work address: 850 Cherry Avenue, San Bruno, CA 94066

Duties: Develop custom data models to drive innovative business solutions. Build complex data sets from multiple data sources, both internally and externally. Conduct advanced statistical analysis to determine trends and significant data relationships. Build learning systems to analyze and filter continuous data flows and offline data analysis. Train algorithms to apply models to new data sets. Validate models and algorithmic techniques. Scale new algorithms to large data sets. Combine data features to determine search models. Research new techniques and best practices within the industry. Utilize system tools including MySQL, Hadoop, Weka, R, Matlab, and ILog. Analyze large data sets to develop custom models and algorithms to drive business solutions. Work on project teams to provide analytical support to projects for Walmart eCommerce. Build large data sets from multiple sources to build algorithms for predicting future data characteristics. Those algorithms will be tested, validated, and applied to large data sets. Train the algorithms so they can be applied to future data sets and provide the appropriate search results. Research new trends in the industry and utilizing up-to-date technology (for example, HBase, MapReduce, LAPack, Gurobi) and analytical skills to support assigned projects. Work with cross-functional partners across the business. Develop models of current state to determine needed improvements.

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: Must have experience with: preparing and cleaning large and complex datasets on SQL; data analytics and dashboarding on tools including Microsoft Excel; Python script for scheduling and running weekly summary statistics for metrics tracking; Causal Interference to estimate business strategy impact; analytical dashboards using PowerBI, Data Studio, Tableau; statistical analysis tools - A/B testing, T-Test; customer analysis and predictive modelling; descriptive analytics - for predicting and tracking business metrics, dataset analysis; running machine learning models; data cleaning, pre-processing and data pipeline building; and programming languages including C, Python, R. Employer will accept any amount of graduate coursework, graduate research experience or professional experience with the required skills.

Salary Range: $142,438/year to $234,000/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.

Wal-Mart is an Equal Opportunity Employer.

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Pay Rate... $0.00

Walmart and its subsidiaries are committed to maintaining a drug-free workplace and has a no tolerance policy regarding the use of illegal drugs and alcohol on the job. This policy applies to all employees and aims to create a safe and productive work environment.