Senior Data Scientist

Walmart

Hoboken, NJ, United States
$109,491pyear to $216,000pyear; annual or quarterl...
Develop custom data models
Build complex data sets
Advanced statistical analysis
Develop custom data models to drive innovative business solutions and build learning systems to analyze and filter continuous data flows

Job Summary

  • Develop custom data models to drive innovative business solutions and build learning systems to analyze and filter continuous data flows.
  • Build complex data sets from multiple sources, conduct advanced statistical analysis, and train algorithms to apply models to new data sets.
  • Walmart offers competitive pay, performance-based incentives, and a comprehensive benefits package including health, financial, and paid time off benefits.

Matching Summary

Develop custom data models to drive innovative business solutions and build learning systems to analyze and filter continuous data flows.

Salary

$109,491/year to $216,000/year; Annual or quarterly performance incentives; Comprehensive benefits package

Skills & Requirements

Must-have

  • Develop custom data models
  • Build complex data sets
  • Advanced statistical analysis
  • Build learning systems
  • Train algorithms
  • Validate models
  • Scale new algorithms

Nice-to-have

  • Research new techniques
  • Utilize up-to-date technology
  • Work with cross-functional partners
  • Agentic AI, LLMs, CrewAI, LangChain

Key Requirements

  • Master’s degree and 1 year of experience OR Bachelor’s degree and 3 years of experience
  • Experience with supervised and unsupervised machine learning models using Python
  • Experience using Pyspark for large-scale data preprocessing and distributed models
  • Experience using SQL for data extraction and transformation
  • Experience designing and developing interactive dashboards using Tableau and Looker
  • Experience architecting and productionalizing end-to-end ML systems on cloud platforms
  • Experience designing efficient relational databases
  • Experience writing modularized, instrumented, tested, and well-documented code on Git
  • Experience defining KPIs, designing A/B tests, and leading evaluations
  • Experience partnering with Product, Engineering, UX, and Business teams
  • Experience working with MLOps and Engineering teams

Work Rights

Not specified

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