Staff Data Scientist

Walmart • Los Angeles, CA

95d • $132,000 - $264,000

About The Position

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 area on 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.

Requirements

• 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.
• Experience processing data for analysis in 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.
• Experience implementing statistical models to provide business insights in Python.
• Experience conducting statistical causal inference and lift analysis with R or Python.
• Experience automating analytics process with SQL stored procedure or Alteryx Macro/App.
• Experience leveraging fuzzy match, benchmarking, and regular expression in Python.
• Experience executing analytics process with shell script.
• Experience conducting calculation and creating suitable charts with Excel formula and Pivot Table.

Responsibilities

• 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.
• Analyze large data sets to develop multiple custom models and algorithms.
• Provide analytical support and guidance to an assigned area on large projects.
• Build large data sets from multiple sources to build algorithms for predicting future data characteristics.
• Research new trends in the industry and utilize up-to-date technology.

Benefits

• Competitive pay as well as performance-based incentive awards.
• Health benefits including medical, vision and dental coverage.
• Financial benefits including 401(k), stock purchase and company-paid life insurance.
• Paid time off benefits including PTO (including sick leave), parental leave, family care leave, bereavement, jury duty and voting.
• Short-term and long-term disability.
• Education assistance with 100% company paid college degrees.
• Company discounts.
• Military service pay.
• Adoption expense reimbursement.

What This Job Offers

• Industry: General Merchandise Retailers
• Education Level: Master's degree