Senior Data Scientist, Automation

Senior Data Scientist, Automation

This job is no longer open

Who we are:

Chartboost is the leading in-app monetization and programmatic advertising platform. We reach a global audience of over 700 million monthly active users and process over 2.7 trillion monthly advertising auctions. The Chartboost SDK is one the most widely integrated mobile ad SDKs and through the Chartboost Exchange, Ad Network, DSP and other services, we empower mobile app developers to build businesses, while connecting advertisers to highly engaged audiences.


Now we’re looking for an exceptional Data Scientist to join a new team focused on the development of our real-time bidder, one of the most exciting and important products within Chartboost. The system powering this product must deal with 100,000’s of requests per second and presents unique engineering challenges. In addition, the bidder requires use of machine learning models that are trained in batch and then used to power decision making in real-time.

Impact you will make: 

  • Design and test predictive models, optimization algorithms, and control systems at large scale that control real money and target specific financial goals
  • Build and enhance production systems in Python by writing well-structured, flexible, and tested code
  • Proactively identify opportunities for optimization, and own the scoping and implementation of solutions
  • Apply theory (bidding strategy for first-price auctions, exploration/exploitation tradeoff, budget pacing approaches) to large streaming data
  • Explore and develop expertise with cutting-edge methods for streaming data and realtime control
  • Propose and engineer new model features from our continuously growing and diversifying stores of data
  • Collaborate closely with Business, Product, Data, and Engineering teams to co-own the rollout of new product offerings
  • Develop and refine best practices for data processing, experimentation, monitoring, debugging, and analyzing data pipelines

Who you are:

  • BS degree in Engineering, Statistics, Math, Economics, Machine Learning or Computer Science
  • 3 to 5 years of practical experience in a Data Science or Machine Learning role, and sound understanding of Data Science and Machine Learning principles
  • Experience with continuously-deployed and frequently-retrained production ML models or ETL pipelines for large and/or fast data
  • Track record of problem-scoping and problem-solving on visible business initiatives
  • Experience writing, reviewing, and deploying production code as part of a team
  • Natural inclination to write well-structured and flexible code
  • Comfort with audience-appropriate communication (to business stakeholders, engineers, data scientists)
  • Strong data visualization and manipulation skills: you are able to distill a clear picture from disparate data sources reflecting a complex business
  • Python expertise for scripting and model prototyping; proficient with SQL

The following experience would be a plus:

  •  Ad tech or mobile game industry

Perks:

  • Comprehensive medical, dental and vision insurance 
  • Restricted Stock Units (RSUs) - you will have the potential of RSUs depending on the level/role
  • 401(k) plan with match through Fidelity
  • Catered lunches and fully stocked kitchens 
  • Commuter Program
  • Flex Vacation – personal time to refresh your mind/body/soul, spend time with loved ones and celebrate life events. There is no accrual or specific limit to the amount of time an employee may use

More about us:

We are proud of the product we've built and appreciate the impact it has on other people's businesses and lives. We want to be surrounded by people who are always finding opportunities to try something new and grow. We love data and anything that helps drive intelligent decisions and always design with the user in mind.  Sounds like a fit? Join us, and be part of the team that will change the future of mobile gaming!

We are an equal opportunity employer — we celebrate diversity and are committed to creating an inclusive environment for all employees and make our hiring decisions without regard to race, color, religion, gender, gender identity or expression, sexual orientation, national origin, genetics, disability, age, or veteran status.

California Residents, please review the Chartboost California Employment Candidate Privacy Notice before submitting any personal information.


This is a fully remote role that may be based anywhere in the United States.

The pay range for this position in California at the start of employment is expected to be between $125,000 and $218,000 per year.  For applicants based in Colorado at the start of employment is expected to be between $85,000 and $183,000 per year. For applicants based in New York City and New Jersey at the start of employment is expected to be between $120,000 and $205,000 per year. 

However, base pay offered is based on market location, and may vary further depending on individualized factors for job candidates, such as job-related knowledge, skills, experience, and other objective business considerations. Subject to those same considerations, the total compensation package for this position may also include other elements, including a bonus and/or equity awards, in addition to a full range of medical, financial, and/or other benefits. Details of participation in these benefit plans will be provided if an employee receives an offer of employment. If hired, employee will be in an "at-will position" and the Company reserves the right to modify base salary (as well as any other discretionary payment or compensation or benefit program) at any time, including for reasons related to individual performance, Company or individual department/team performance, and market factors.

The pay range for this position for applicants based in Washington at the start of employment is expected to be between $115,000 and $210,000 per year.  However, base pay offered is based on market location, and may vary further depending on individualized factors for job candidates, such as job-related knowledge, skills, experience, and other objective business considerations.   Subject to those same considerations, the total compensation package for this position may also include other elements, including a bonus and/or equity awards and eligibility to participate in our 401(K) plan, in addition to a full range of medical, dental, vision, and basic life insurance. Employees will also receive 13 paid holidays per calendar year, unlimited discretionary time off, and will receive 10 sick days per calendar year.  Details of participation in these benefit plans will be provided if an employee receives an offer of employment. If hired, employee will be in an "at-will position" and the Company reserves the right to modify base salary (as well as any other discretionary payment or compensation or benefit program) at any time, including for reasons related to individual performance, Company or individual department/team performance, and market factors.


 

This job is no longer open
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