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Senior Data Scientist

United States

At MNTN, we put our people first, full stop. This allows our company culture to be defined by our team members and their shared values, like trust, ambition, quality, radical honesty, and compassionate leadership. It’s why we all really love working for the Hardest Working Software in Television™ (and also why we were named one of Ad Age’s Best Places To Work in 2025.)

We pride ourselves on bringing unrivaled performance and simplicity to Connected TV advertising. Our self-serve technology makes running TV ads as easy as search and social, helping brands drive measurable conversions, revenue, site visits, and more. It’s what led MNTN to being named one of Fast Company's Most Innovative Companies in 2023. You can learn more about us and everything we do by visiting https://mountain.com/.

We’re committed to innovation that empowers, not replaces. At MNTN, AI is a tool for growth, enhancing efficiency while keeping a people-first approach. Our goal is to streamline workflows and drive new solutions—without compromising the human element that makes our company great.

So if wanting to do more, own more, and make a bigger impact comes naturally to you, then you may be the person we're looking for to join us in our next stage of growth.

We’re hiring a Senior Data Scientist to lead customer analytics across segmentation, lifecycle, retention, value modeling, and experimentation.

This role sits at the intersection of Product, Growth, and Revenue. You will help us deeply understand customer behavior and design rigorous experiments that improve activation, engagement, retention, and expansion.

This is not a reporting role; it’s a decision-shaping role grounded in statistical rigor. You’ll collaborate with Product Owners, Data Analysts, and Engineers to develop analytical frameworks and models that directly influence product and GTM strategy.

What you’ll do

  • Develop behavior-based customer segments using product usage and lifecycle signals
  • Build LTV models (cohort-based and predictive) and identify power users, high-LTV cohorts, at-risk customers, and under-monetized segments
  • Create segmentation frameworks that become operational across Product and GTM teams
  • Model activation drivers and time-to-value
  • Build survival / time-to-event models to understand churn risk while Identifying leading indicators of disengagement
  • Analyze behavioral paths across onboarding → adoption → product maturity
  • Partner with Product to design and evaluate A/B and multivariate experiments
  • Conduct power analysis and sample size estimation and apply causal inference methods when randomized experiments are not feasible
  • Develop expansion and upsell propensity models
  • Decompose revenue across lifecycle stages and behavioral segments
  • Embed experimentation and modeling insights into product roadmaps
  • Build reusable analytical frameworks, not one-off analyses
  • Partner with Data Engineering to productionize scoring models where needed

What success looks like

  • Clear behavioral customer segments driving product and GTM decisions
  • A rigorous experimentation culture with strong statistical discipline
  • Measurable improvements in activation and retention
  • Predictive LTV and lifecycle models informing strategy
  • Data science embedded in real product and revenue decisions

What you’ll bring

  • 5+ years in applied data science, customer analytics, or advanced analytics roles
  • Strong Python and statistical modeling toolkit
  • Deep experience with:
    • Experiment design (A/B, multivariate)
    • Power analysis and statistical testing
    • Causal inference fundamentals
    • Survival analysis / retention modeling
    • Clustering and segmentation
    • LTV and propensity modeling
  • Strong SQL and comfort working directly in the warehouse
  • Experience analyzing behavioral event data
  • Ability to translate statistical results into clear product and business decisions
  • SaaS or Adtech experience strongly preferred

MNTN Perks

  • 100% remote within the US
  • Flexible vacation policy
  • Annual vacation allowance for travel related expenses
  • Three-day weekend every month of the year
  • Competitive compensation
  • 100% healthcare coverage
  • 401k plan
  • Flexible Spending Account (FSA) for dependent, medical, and dental care
  • Access to coaching, therapy, and professional development

About MNTN

Our recruiters will always reach out using an email address ending with @mountain.com OR @mntn.com. If you’re contacted by someone without that address and they mention a Reference Code (which we never use), then that ain’t us folks. Tell those trolls to take a hike–you’re waiting to climb a MNTN.

MNTN provides advertising software for brands to reach their audience across Connected TV, web, and mobile. MNTN Performance TV has redefined what it means to advertise on television, transforming Connected TV into a direct-response, performance marketing channel. Our web retargeting has been leveraged by thousands of top brands for over a decade, driving billions of dollars in revenue.

Our solutions give advertisers total transparency and complete control over their campaigns all with the fastest go-live in the industry. As a result, thousands of top brands have partnered with MNTN, including Tarte, Decked, and National University.

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