Demo

Senior Data Scientist, Analytics - Ads Product and GTM

Inclusively
San Francisco, CA Full Time
POSTED ON 8/5/2025 CLOSED ON 9/3/2025

What are the responsibilities and job description for the Senior Data Scientist, Analytics - Ads Product and GTM position at Inclusively?

Inclusively is partnering with a voice, video, and text communication service company to hire a Senior Data Scientist, Analytics - Ads Product and GTM. **Please note: this role is NOT an internal position with Inclusively but with the partner company.**


ABOUT INCLUSIVELY

Inclusively is a digital tech platform that empowers job seekers with disabilities, caregivers, and veterans by using Success Enablers–accommodations and personalized workplace modifications that help all job seekers reach their full potential and excel. This includes all disabilities under the ADA, including mental health conditions (e.g. anxiety, depression, PTSD), chronic illnesses (e.g. diabetes, Long COVID), and neurodivergence (e.g. autism, ADHD).


Create your profile, select Success Enablers, and connect to jobs from our partnered employers who are committed to creating diverse and inclusive teams. When registering, you must acknowledge that this platform is for people with disabilities, caregivers, and veterans. However, Inclusively does not require candidates to disclose their specific disability to join the platform.


What you'll be doing

  • Lead data science strategy and execution on our ads product or GTM squad, partnering directly with PM, Sales, and Engineering leadership
  • Build the analytical foundation for next-generation ad products using our rich first-party data from 200M monthly active users, combined with strategic third-party partnerships
  • Collaborate with product and sales teams to develop learning agendas, experimentation plans, and solutions that drive product-market-fit and advertiser performance
  • Lead cross-functional data projects to deepen our understanding of users, communities, and advertiser performance that directly inform better ad products
  • Build plans to evaluate product or vertical performance, run experimentation, identify improvement opportunities, and share these learnings with cross-functional peers and executives
  • Apply 80/20 thinking to prioritize the highest-impact initiatives while championing user privacy and data governance standards across the company


What you should have

  • 5 years of data science experience in ads tech, with preference for gaming, social media, or community platforms
  • Deep understanding of the ads tech ecosystem, including auction-based delivery systems, real-time bidding, audience data integrations, and data partners.
  • 4 years of experience building performant dashboards using Looker, or similar software with proficiency in designing intuitive visualizations
  • 4 years experience writing excellent SQL with proficiency in big data platforms
  • Experimentation expertise: 3 years designing, running, and analyzing A/B tests for large-scale consumer products
  • Visualization and Dashboards: Proven experience building executive-level dashboards and reports using Looker, Tableau, or similar tools
  • Cross-functional collaboration: Track record of working effectively with cross-functional teams to drive business outcomes and advertiser performance
  • Strong Communication skills: Ability to translate complex technical concepts into actionable insights for both technical and business stakeholders
  • Attribution and measurement: Experience with incrementality testing, multi-touch attribution, and campaign effectiveness measurement in privacy-first environments
  • Experience working with first-party and third-party data, as well as attribution partners
  • Curiosity and collaboration: You thrive in ambiguous environments and love solving complex problems with amazing teammates


Bonus Points

  • Passion: You're an active user or have deep knowledge of gaming and creator communities
  • Privacy-first measurement: Background in privacy-preserving technologies and ethical advertising practices
  • Leadership experience: Background mentoring junior data scientists or leading technical initiatives
  • Sales partnership: Direct experience translating technical capabilities into compelling sales narratives
  • Experience with analytics for social media, gaming platforms, or community-driven products, including familiarity with social graphs, community dynamics, and user-lifecycle analysis


The US base salary range for this full-time position is $196,000 to $220,500 equity benefits.

Salary : $196,000 - $220,500

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