Staff Data Scientist, Growth Data Science at Moloco | AdTechTalent
Data Science3 months agoOn-site
Moloco
Staff Data Scientist, Growth Data Science
data sciencepythonsqlbigqueryadvertisingad techprogrammaticmachine learningproduct strategycustomer-facingexperimental designcausal inferencestakeholder management
Key details
Salary
Not specified
Employment type
Full-time
Seniority
Senior
Years experience
5-10
Location
Menlo Park, United States; New York, US
Full job description
Moloco is seeking a senior Staff Data Scientist for its Growth Data Science team. The role involves partnering with advertisers, sales, product, and engineering teams to maximize the effectiveness of Moloco Ads. Responsibilities include strategic advertiser engagement, advising on campaign optimization, translating insights into product roadmap signals, building scalable activation frameworks, influencing product strategy, and leading global frameworks for product activation. Requirements include a bachelor's degree in a quantitative discipline, 8+ years of relevant experience, strong statistical and programming skills (Python, SQL, BigQuery preferred), excellent communication and stakeholder management skills, and demonstrated leadership and project ownership. Preferred qualifications include advanced degrees, ad tech or programmatic advertising experience, and familiarity with mobile app ecosystems and incrementality testing. Benefits include medical, dental, vision insurance, 401(k) with match, disability coverage, life insurance, paid holidays, flexible time off, and eligibility for bonus and equity awards. The role is based in Menlo Park, CA or New York, NY.
What you'll do
Partner directly with Moloco’s top tier of advertisers to maximize value from Moloco product suite
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Set the standard for GDS advertiser engagement
Build and scale activation frameworks for regional GDS teams
Serve as a senior technical voice from GDS in product conversations
Collect, synthesize, and communicate customer feedback and market signals to product and engineering
Partner with product DS and engineering teams to define success metrics, design experiments, and evaluate new product features
Translate complex advertiser problems into clear product requirements and value propositions
Define and own the GDS approach to product activation globally
Build frameworks, tools, and best practices to elevate team impact
Act as a thought leader within GDS
Work across AMER, EMEA, and APAC GDS teams to ensure consistency in product market approach and customer insight feedback
Requirements
Bachelor's degree in a quantitative discipline (Statistics, Computer Science, Economics, Mathematics, Physics, or equivalent practical experience)
8+ 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
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