Principal, Data Scientist

Walmart

Bentonville, AR, United States
$132,621 - $220,000pyear
Cloud environments (google cloud, azure)
Object-oriented programming (python, c++)
Ml and deep learning frameworks
Analyze business problems using analytics/big data analytics/automation techniques and methods to identify root causes and recommend technology-focused solutions

Job Summary

  • Analyze business problems using analytics/big data analytics/automation techniques and methods to identify root causes and recommend technology-focused solutions.
  • Evaluate proposed business cases, translate business requirements into strategies, and drive execution of deliverables, articulating business value and return on investment.
  • Select appropriate modeling techniques for complex problems, develop and iteratively refine variables and features, and create continuous model learning and enhancements.

Matching Summary

Analyze business problems using analytics/big data analytics/automation techniques and methods to identify root causes and recommend technology-focused solutions.

Salary

$132,621 - $220,000/year

Skills & Requirements

Must-have

  • Cloud environments (Google Cloud, Azure)
  • Object-oriented programming (Python, C++)
  • ML and Deep learning frameworks
  • Computer Vision (image segmentation, object detection)
  • Big Data technologies (BigQuery, Spark, Hadoop)
  • Data Integration (Databricks, Snowflake)
  • Feature engineering and extraction techniques
  • Supervised and unsupervised ML techniques
  • Time series forecasting solutions
  • Translate business problems to scalable solutions

Nice-to-have

  • External community engagement
  • Mentoring team members
  • Challenging business assumptions
  • Building business cases and ROI

Key Requirements

  • Master's degree + 3 years experience OR Bachelor's degree + 5 years experience
  • Experience with Cloud environments (Google Cloud, Azure)
  • Experience with Python, R, C++
  • Experience with ML/Deep Learning frameworks (Scikit-learn, TensorFlow, PyTorch)
  • Experience with Computer Vision libraries
  • Experience with Big Data technologies (BigQuery, Spark, Hadoop)
  • Experience with Data Integration tools (Databricks, Snowflake)
  • Experience with SQL for data warehousing
  • Experience with data visualization tools (Tableau, PowerBI)
  • Experience with ML deployment tools (MLflow, Docker, Kubernetes)

Work Rights

Not specified

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