Data Science Manager, Analytics; Gaming

Data Science Manager, Growth Analytics (Gaming)

New York, United States;
Redwood City, California, United States

About Moloco:

Moloco builds some of the most powerful AI advertising solutions in the world. Our name—short for "machine learning company"—reflects our core mission: democratizing access to the advanced AI that has historically been reserved for tech giants. Led by machine learning pioneers who built some of the most successful ad systems at Google, including You Tube's monetization engine and key search advertising technologies, we're transforming how businesses grow and compete in the digital economy.

Built with AI from day one, Moloco’s planet-scale machine learning platform powers a suite of solutions for advertising growth and monetization.
Moloco Ads is an AI-powered platform that delivers real business outcomes for mobile app marketers through performance-based user acquisition.
Moloco Commerce Media and Streaming Monetization solutions enable retailers, marketplaces, and streaming platforms to build revenue-generating ad businesses that balance user experience and advertiser performance.

Moloco is headquartered in Silicon Valley, with offices in Seattle, New York, San Francisco, Seoul, Beijing, Singapore, Bangalore, Gurgaon, Tokyo, Shanghai, London, Tel Aviv, and Berlin.

Moloco is a truly rewarding place to work and in an exciting period of growth, which you could be a part of. Join us today and apply now!

The Impact You'll Be Contributing to Moloco:Growth Data Science is a global team of data scientists who work with internal and external stakeholders to improve the effectiveness of Moloco Ads and help advertisers achieve their business goals. As a Growth Data Science Manager you will lead a team of data scientists who support our North American gaming and real money gambling verticals, partnering with cross functional leaders to unlock product performance, improve our activation strategies and grow the Moloco Ads business.

You’ll be comfortable operating at a strategic level identifying opportunities to drive greater business impact, whilst also being able to work “hands on” and take the lead on technical projects.

Growth Data Science is a critical and highly cross‑functional team with diverse responsibilities;

• Advertiser engagement
  ; engaging with advertisers to understand their business objectives, measurement strategies and identifying opportunities for Moloco to drive business value
• Measurement consultation
  ; consulting with advertisers on measurement methodologies, helping them to understand nuances between different measurement solutions (MMP attribution, incrementality, MMM) and supporting the activation of Moloco incrementality solutions
• Insights generation
  ; data collection, analysis and effective communication of learnings and recommendations to multiple levels of stakeholder up to C‑Level
• Campaign optimization
  ; partnering with internal and external teams on analysis and testing to identify opportunities to improve Moloco campaign effectiveness
• Product development
  ; collaborating with key stakeholders across Moloco product and engineering teams to help improve our products and services based on market insights and advertiser feedback
• Product activation
  ; collaborating with Moloco business teams to develop activation strategies to unlock product performance and drive adoption across advertiser groups
• Education:
  
  Bachelor's degree or equivalent practical experience.
• Management
  
  Experience:
  
  1+ years of experience managing individual contributors.
• Technical
  
  Experience:
  
  7+ years of experience working with statistical packages in an analytical role (e.g., R, Python, SAS, Stata, MATLAB, SQL).
• Statistics:
  Experience in experimental design, hypothesis testing, and various statistical analysis such as regression or time‑series analysis.
• Communication:
  Excellent verbal and written communication skills. Ability to distill complex concepts and information into simple recommendations, presenting to stakeholders at various levels of seniority and technical expertise.
• Partnerships:
  Ability to build positive relationships within the data science & analytics community, as well as with our business…