Senior Data Scientist, Growth Analytics at Moloco | AdTechTalent
Data Science2 days agoOn-site
Moloco
Senior Data Scientist, Growth Analytics
data sciencepythonsqlbigqueryadvertisingad techprogrammaticmachine learningproduct strategyexperimental designcausal inferencestakeholder managementgrowth data sciencecustomer-facingproduct-facing
Key details
Salary
Not specified
Employment type
Full-time
Seniority
Senior
Years experience
3-5
Location
Menlo Park, United States; New York, US
Full job description
Moloco seeks a Senior Data Scientist for its Growth Data Science team to act as a bridge between advertisers' commercial objectives and Moloco Ads product technical direction. The role involves partnering with top advertisers to optimize campaign strategies, translating insights into product roadmap signals, building scalable activation frameworks, influencing product strategy, and leading global frameworks across regions. Requirements include a bachelor's degree in a quantitative field, 4+ years of relevant data science experience with customer/product-facing roles, strong statistical and programming skills (Python, SQL), excellent communication, stakeholder management, and leadership abilities. Preferred qualifications include advanced degrees, ad tech experience, and familiarity with mobile app advertising ecosystems. Benefits include medical, dental, vision insurance, 401(k) with match, disability coverage, paid holidays, flexible time off, and eligibility for bonuses and equity awards. Salary ranges from $153,000 to $225,000 depending on location.
What you'll do
Partner directly with Moloco’s top tier of advertisers to maximize value from Moloco product suite, advising on campaign structure, measurement, bidding strategy, and optimization levers
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Requirements
Bachelor's degree in a quantitative discipline (Statistics, Computer Science, Economics, Mathematics, Physics, or equivalent practical experience)
4+ years in data science, analytics, or a closely related quantitative field, with significant time in a customer-facing or product-facing IC capacity
Strong foundation in experimental design, hypothesis testing, regression, and causal inference methods
Proficiency in Python and SQL
Experience with large-scale data platforms (e.g., BigQuery) preferred
Exceptional verbal and written communication skills
Ability to distill complex technical concepts into clear recommendations for non-technical audiences up to C-level
Demonstrated ability to build and maintain credibility with cross-functional partners across product, engineering, sales, and GTM functions
Proven ability to own projects end-to-end in ambiguous problem spaces, driving them to measurable outcomes
Demonstrated self-direction and senior-level judgment, comfortable operating without a playbook and building one where none exists
Tech stack
PythonSQLBigQuery
Benefits
Medical, dental, and vision insurance401(k) plan with company matchShort-term and long-term disability coverageBasic life insuranceWell-being benefits and perksUp to 12 scheduled paid holidays per calendar yearOne Thrive Day off per quarterFlexible Time Off (FTO)Eligibility for bonus and equity awards based on performance and plan terms
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