Data Scientist

Federato

$160K — $200K *
Information Technology
Less than 5 years of experience
Job Overview by Ladders

Qualifications

  • Demonstrated interest in engineering for social or business impact
  • 2+ years in machine learning and optimization models
  • 2+ years in model deployment, monitoring and version control
  • Graduate work (PhD or Advanced MS) in an optimization-related field
  • Proficient in Python, Flask/Django, Pandas, and Numpy
  • Ability to quickly adapt to new technologies

Responsibilities

  • Design and develop machine learning models and algorithms
  • Deploy and monitor models in production environments
  • Collaborate with the CTO to align data science efforts with business strategy
  • Act as a critical team member in a growing data science group
  • Evaluate and optimize existing models for performance
  • Conduct experiments to refine model accuracy, efficiency, and effectiveness

Benefits

  • Remote work flexibility with an office presence in San Francisco
  • Opportunity to directly influence company success
  • Be part of a fast-growing team
  • Work closely with the CTO and executive team
Full Job Description
The role will report directly to the CTO. Next to the CTO, you will be first Data Scientist on the team building out models and algorithms pivotal to our value proposition. This is a remote position, but we do have an office in San Fransisco. You will be the first data scientist on the team working through and building models from scratch that will be pivotal for our business. You will have a huge impact on our success and will be part of a fast growing team! Qualifications • Demonstrated interest in engineering for impact • 2+ years of hands-on industry experience with machine learning and optimization models • 2+ years of experience with model deployment, monitoring and version control • Graduate work in an optimization related field (e.g RL, Convex Optimization, Bayesian Optimization), either PhD or Advanced MS degree. • Comfortable with Python, Flask/Django, Pandas and Numpy • Demonstrated ability to pick up new technologies quickly and learn on the spot Additional Information Pay Range: $160k - $200k

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