Senior Data Scientist, Pricing Models

Chartboost
·
Posted: 
August 1, 2023
·
Remote
Job Commitment
Full-time
Job Commitment
Senior
Job Function
Dev & Engineering
Salary
N/A
Job Commitment
Full-time
Experience Level
Senior
Workplace Type
Remote
Job Function

This job is closed

We regret to inform you that the job you were interested in has now been closed. Although this specific position is no longer available, we encourage you to continue exploring other opportunities on our job board.

About the position

We are seeking an exceptional Data Scientist to join our pricing team for our real-time bidder product. This role involves applying, developing, optimizing, and benchmarking machine learning approaches to advance our AI-driven product. The Data Scientist will also conduct large-scale A/B testing and offline/online experiments to evaluate the performance of machine learning models. Collaboration with Product, Data, and Engineering teams to launch new pricing and conversion ML models is a key aspect of this role.

Responsibilities

  • Apply, develop, optimize, and benchmark ML approaches to push our AI-driven product forward
  • Conduct large scale A/B testing and offline/online experiments to evaluate performance of machine learning models
  • Analyze millions of structured and unstructured data points and identify meaningful signals to improve model performance
  • Collaborate closely with Product, Data, and Engineering teams to launch new pricing and conversion ML models
  • Experience using SQL and distributed frameworks such as Spark for exploratory data analysis and data transformation
  • Demonstrated experience with Python for ML workflows
  • Exposure to different machine learning and modeling techniques, including deep learning and traditional modeling techniques
  • Experience in improving performance of queries and workflows for model training
  • Hands-on with deep learning in production pipelines (a plus)
  • Ad tech and/or mobile space experience (a plus)
  • Requirements

    • BS degree in Statistics, Math, Machine Learning or Computer Science
    • 5+ years of practical experience in data science or machine learning roles
    • Experience using SQL and distributed frameworks such as Spark for exploratory data analysis and data transformation
    • Demonstrated experience with Python for ML workflows
    • Exposure to different machine learning and modeling techniques, including deep learning and traditional modeling techniques
    • Experience in improving performance of queries and workflows for model training
    • Hands-on with deep learning in production pipelines (a plus)
    • Ad tech and/or mobile space experience (a plus)

    Benefits

    • Fully remote role
    • Pay range between $125,000 and $218,000 per year in California
    • Pay range between $120,000 and $205,000 per year in New York City and New Jersey
    • Pay range between $115,000 and $210,000 per year in Washington
    • Total compensation package may include bonus and/or equity awards
    • Eligibility to participate in 401(K) plan
    • Full range of medical, dental, vision, and basic life insurance
    • 13 paid holidays per calendar year
    • Unlimited discretionary time off
    • 10 sick days per calendar year
    • At-will position with the ability for the company to modify base salary and other compensation or benefit programs at any time

    Job Application Resources

    No items found.

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    Chartboost

    Chartboost is one of the largest mobile-games only marketplace to increase revenue and discover new players.
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