Staff Data Scientist, Wal-Mart.com USA, LLC, US

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What you'll do...

Position: Staff Data Scientist

Job Location: 5404 Jandy Place, Los Angeles CA 90066

Duties: 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, ILog). Develop multiple custom data models to drive innovative business solutions. Translate business needs into data requirements. Collaborate with cross-functional partners across the business. Interpret data to identify trends to go across future data sets. Collaborate with project teams to implement data modeling solutions. Develop models of current state in order to determine improvements needed. Responsible for analyzing large data sets to develop multiple custom models and algorithms to drive innovative business solutions. Work on large project teams in order to provide analytical support and guidance to an assigned are on for large projects (for example, email targeting, business optimization, consumer recommendations) within Walmart eCommerce. Responsible for building large data sets from multiple sources in order to build algorithms for predicting future data characteristics. Those algorithms will be tested, validated, and applied to large data sets. Responsible for training the algorithms so they can be applied to future data sets and provide the appropriate search results. Responsible for researching new trends in the industry and utilizing up-to-date technology (for example, HBase, MapReduce, LAPack, Gurobi) and analytical skills to support their assigned project. Act as the subject matter experts for statistical analysis and modeling for their project team.

Minimum education and experience required: Master’s degree or equivalent in Statistics, Economics, Analytics, Mathematics, Computer Science, Information Technology, Business Analytics, Project Management or related field and 2 years of experience in an analytics related field; OR Bachelor’s degree or equivalent in Statistics, Economics, Analytics, Mathematics, Computer Science, Information Technology, Business Analytics, Project Management or related field and 4 years of experience in an analytics related field.

Skills required: Experience processing data for analysis in one of the following programing languages: Python or R. Experience managing and transforming data stored in Hadoop and Hive. Experience extracting data from various data sources using PySpark. Experience designing metrics and ETL automated processes with SQL, Hive, or Spark. Experience building interactive Tableau dashboard or visualization report in Power BI to display the analytics results. Experience implementing one of the following statistical models to provide business insights in Python: k-means or kdtree. Experience conducting statistical causal inference and lift analysis to measure the impact with R or Python. Experience automating analytics process with one of the following statistical software to facilitate repeated analysis: SQL stored procedure or Alteryx Macro/App.  Experience leveraging fuzzy match, benchmarking, and regular expression in Python in analytics projects. Experience executing analytics process with shell script. Experience conducting calculation and creating suitable charts with Excel formula and Pivot Table. Employer will accept any amount of experience with the required skills.

Salary Range: $132,000/year to $264,000/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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Pay Rate...

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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.