Open Accessibility Menu
Hide
Contact Scorpion (866) 622-5648
Software Engineering & Development

Senior Data Scientist

Job Overview

About the Senior Data Scientist role:
As a Senior Data Scientist at Scorpion, you’ll work with our growing data science team to develop data products for Scorpion and its clients. We’re looking for a natural collaborator who will be excited to provide innovative solutions, insights, and features to both new and existing products.

Responsibilities:

  • Develop predictive models to support sound strategic decisions for automated marketing campaigns
  • Validate production models and analyze the performance of existing models
  • Assess the usefulness of new data sources, transformations, and modeling techniques
  • Collaborate with business experts and managers to scope, prioritize, and develop new products

Qualifications:

  • Quantitative Bachelor’s Degree (Quantitative Master’s/PhD preferred)
  • 5+ years designing production systems in python, leading teams or new initiatives, and modeling
  • Experience with machine learning cloud deployment (AWS/Azure/etc.)
  • Expertise in Python (including extensive experience with pandas/numpy/scikit-learn/xgboost/etc.)
  • Statistics expertise (A/B Testing, experiment design, Bayesian methods, etc.)
  • 3+ years of SQL experience (comfortable writing complex multi-table queries)
  • A sound understanding of common machine learning algorithms (RF, SVM, LR, GBDT, etc.) and model training techniques

How to Apply

Please upload a single document containing your resume and cover letter.
Include salary requirements and portfolio link (if applicable).

Invalid file type or file name. Please only use letters & numbers. (use .pdf,.doc)
Please upload your document.
We accept .pdf and .doc file types.
  • Please enter your first name.
  • Please enter your last name.
  • This isn't a valid email address.
    Please enter your email address.
  • This isn't a valid phone number.
    Please enter your phone number.
    You entered an invalid number.
  • Please enter your LinkedIn Profile Link.
    Please enter valid LinkedIn Profile Link.