
Staff Data Scientist
Walmart
full-time
Posted on:
Location Type: Hybrid
Location: Bentonville • California • United States
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Salary
💰 $110,000 - $220,000 per year
Job Level
About the role
- Data Source Identification requires knowledge of Functional business domain and scenarios.
- Help identify the most suitable source for data that is fit for purpose.
- Perform initial data quality checks on extracted data.
- Model Assessment and Validation requires knowledge of model fit testing, tuning and validation techniques.
- Identify the model evaluation metrics.
- Generate appropriate graphical representations of data and model outcomes.
- Develop business cases for projects with a projected return on investment or cost savings.
- Identify and recommend relevant business insights pertaining to their area of work.
Requirements
- Option 1: Bachelors degree in Statistics, Economics, Analytics, Mathematics, Computer Science, Information Technology or related field and 4 years' experience in an analytics related field.
- Option 2: Masters degree in Statistics, Economics, Analytics, Mathematics, Computer Science, Information Technology or related field and 2 years' experience in an analytics related field.
- Option 3: 6 years' experience in an analytics or related field.
Benefits
- 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, company discounts, Military Leave Pay, adoption and surrogacy expense reimbursement, and more.
- Tuition, books, and fees are completely paid for by Walmart.
Applicant Tracking System Keywords
Tip: use these terms in your resume and cover letter to boost ATS matches.
Hard Skills & Tools
data quality checksmodel fit testingmodel tuningmodel validation techniquesmodel evaluation metricsdata graphical representationbusiness case developmentbusiness insights identification