Staff Data Scientist

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 2024.)

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.

MNTN is looking for a Staff Data Scientist to lead the development of advanced algorithms and modeling approaches that drive performance and targeting precision across our entire advertising platform. This is a high-impact, senior-level role responsible for foundational work that will affect every advertiser we serve.

You’ll focus on two core mandates:

• Expanding Converter Reach: Growing the number of households we can confidently predict are likely to convert for any given brand.
• Improving Precision: Increasing the accuracy of our predictions about which households will convert, ensuring that spend is used efficiently and results are maximized.

You’ll work with vast, diverse datasets—from consumer site behavior and purchase history to ad exposure and response—and partner closely with engineering, product, and analytics teams to deploy solutions that scale.

What You’ll Do: 

• Design and implement advanced algorithms to identify high-likelihood converters at the household level across multiple verticals and audience segments, driving measurable improvements in campaign outcomes.
• Build, productionize, and maintain predictive models that directly support targeting, bidding, and optimization systems at scale.
• Take ownership of end-to-end model development workflows, including data exploration, feature engineering, validation, deployment, and ongoing performance monitoring.
• Develop and refine measurement methodologies to quantify model precision and campaign impact, working with stakeholders to ensure consistent evaluation standards.
• Collaborate closely with product managers, engineers, and fellow scientists to influence system design and ensure scientific solutions are robust, scalable, and aligned with business goals.
• Provide technical guidance on modeling approaches and data strategies within the Targeting team, contributing to peer reviews and team-wide quality standards.
• Stay informed on cutting-edge developments in machine learning and targeting science, proactively applying relevant techniques to elevate model performance and efficiency.

What You’ll Bring: 

• 8+ years of experience in data science, with a proven track record of delivering ML/optimization solutions in a production environment.
• Deep expertise in predictive modeling, uplift modeling, targeting optimization, and/or large-scale personalization systems.
• Strong coding skills in Python, SQL, and experience with ML/analytics libraries (scikit-learn, XGBoost, Spark, etc).
• Fluency in causal inference methods, probabilistic modeling, and experimentation frameworks.
• Familiarity with advertising data ecosystems: user behavior data, conversion tracking, pixel and event data, identity graphs, etc.
• Exceptional communication and cross-functional collaboration skills—able to influence both technical and non-technical stakeholders.
• Preferred: Experience with graph databases. 

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 OneWheel, Tarte, Decked, and National University.

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