Position: Data Scientist III
Number of Positions Available: Four (4)
Job Location: 221 River Street, Hoboken, NJ 07030
Duties: Presents data insights and recommendations to key stakeholders by developing insights based on data analysis; applying analytical results to project goals; identifying trends and key insights; translating results into business actions; and presenting insights and recommendations to key stakeholders. Participates in the continuous improvement of data science and analytics by developing replicable solutions (for example, codified data products, project documentation, process flowcharts) to ensure solutions are leveraged for future projects; building and maintaining a library of reusable algorithms for future use; ensuring developed code is documented; and coaching and mentoring analysts across the division and project teams. Develops analytical models to drive analytics insights by gathering data from internal and external sources; evaluating data usability based on project goals; synthesizing data into large datasets to support project goals; developing statistical models and computational algorithms to analyze data; utilizing the analytics project lifecycle process to drive predictive modeling; coding, testing, and maintaining analytical software tools; identifying trends, patterns and discrepancies in data; training statistical models for replication for future projects; and presenting data insights and recommendations to key stakeholders. Participates in large data analytics project teams by serving as a technical lead for analytics projects; working with project teams and business partners to determine project goals; developing contingency plans for data analysis; determining modeling based on business needs; directing the analysis of data; gathering data and developing reports as needed; utilizing business knowledge to ensure data supports project goals; analyzing data based on identified variables; reviewing data results to ensure accuracy; and communicating results and insights to the project team and business partners.
Minimum education and experience required: Master’s degree or the equivalent in Statistics, Economics, Business Analytics, Mathematics, Computer Science, Information Technology, or related field; OR Bachelor’s degree or the equivalent in Statistics, Economics, Business Analytics, Mathematics, Computer Science, Information Technology, or related field and 2 years of experience in an analytics or related field.
Skills required: Experience using Python and PySpark to extract and analyze data from diverse data sources. Experience applying Statistical and Machine Learning techniques to build and deploy Predictive Models. Experience using SQL and ETL to build custom data flows and process modules to aggregate large quantities of data. Experience writing programming queries and scripts to automate the data extraction process and minimize manual intervention. Experience performing analysis on data to understand relationships, identify trends, and gain business insights. Experience analyzing and drawing conclusions from extracted data by applying mathematical modeling, statistical modeling, and simulation methodologies. Experience designing and developing visualizations to translate structured and unstructured data. Experience with hyper parameter tuning models to improve accuracy. Experience using PySpark to scale models and enable parallel processing to expedite runtimes. Experience scaling Machine Learning models using Cloud Platforms. Employer will accept any amount of experience with the required skills.
Salary Range: $109,491/year to $216,000/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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