Senior Data Scientist - Global Growth & Ad Activation

Moloco

Menlo Park, New York (CA, NY)

On-site

USD 153,000 - 191,000

Full time

14 days+

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Benefits offered by this job

Medical, dental, and vision insurance
401(k) with company match
Disability coverage
Life insurance
Paid holidays
Flexible Time Off
Well-being benefits

Job summary

Moloco is seeking a Senior Data Scientist in the Growth Data Science (GDS) team to bridge advertiser needs with the Moloco Ads product strategy. You will engage with product, engineering, and sales to activate product features and prioritize enhancements based on real customer signals.

This role emphasizes scalable data frameworks, experimental design, and clear communication to C-level stakeholders across AMER, EMEA, and APAC regions.

Qualifications

  • 4+ years in data science, analytics, or related field, with customer-facing experience.
  • Strong foundation in experimental design and causal inference.
  • Proficiency in Python and SQL; experience with large-scale data platforms.

Responsibilities

  • Partner with advertisers, sales, product, and engineering to maximize Moloco Ads value.
  • Translate advertiser insights into product roadmap signals and activation frameworks.
  • Define success metrics, run experiments, and evaluate new features.
  • Communicate complex data insights clearly to non-technical stakeholders.
  • Lead global data science initiatives and maintain cross-functional alignment.
  • Develop scalable playbooks and best practices for the GDS team.

Skills

Statistics
Python
SQL
Experiment design
Causal inference
BigQuery
Communication
Stakeholder management

Education

Bachelor's degree in a quantitative discipline

Tools

BigQuery

Job description

Moloco is seeking a Senior Data Scientist in the Growth Data Science (GDS) team to bridge advertiser needs with the Moloco Ads product strategy. You will engage with product, engineering, and sales to activate product features and prioritize enhancements based on real customer signals.

This role emphasizes scalable data frameworks, experimental design, and clear communication to C-level stakeholders across AMER, EMEA, and APAC regions.

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