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 and helps 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.
The MNTN Targeting Group helps brands reach the right customers with software that turns petabytes of data into meaningful audience targeting strategies. Our engineers, data scientists and analysts build software that serves content to millions of people every day. You'll be joining the team working on MNTN Matched, our flagship machine learning product that is a critical revenue driver for the business. As a Senior Data Scientist, you’ll be deeply involved in developing and improving the core models and systems that power our targeting products. You’ll prototype algorithms, build and validate datasets, design experiments, and analyze performance at scale. Working closely with data engineers, analysts, and product managers, you’ll translate business needs into practical solutions and guide projects from exploration to production. Your work will directly influence the quality, efficiency, and innovation of our targeting platform.
What You'll Bring:
- 7+ years of hands-on experience in data science or applied research, ideally in large-scale, high-throughput environments.
- You’ve led impactful work in areas like A/B testing, experimentation frameworks, causal inference, look-alike modeling, machine learning, or ranking systems.
- Proven ability to mentor other data scientists, influence technical direction, and set best practices around experimentation, modeling, and analytical rigor.
- Advanced proficiency in SQL and Python, with the ability to build scalable, production-ready data pipelines and model workflows.
- Deep experience with tools like Jupyter, Airflow, dbt, and version control workflows (Git/GitHub).
- Strong background in working with large-scale distributed systems and data warehouses, including BigQuery, Databricks, Snowflake, Spark, Hive, or similar.
- Experience deploying and monitoring machine learning models in production, including model validation, performance tracking, and continuous improvement.
- Familiarity with ML frameworks and libraries like scikit-learn, XGBoost, LightGBM, TensorFlow, or PyTorch.
- Strong communication skills—you can translate complex analyses and technical concepts into actionable insights for cross-functional partners across product, engineering, and business teams.
Bonus if you have:
- Experience in ad tech, growth analytics, personalization, or performance marketing
- Comfort working with real-time or near-real-time data pipelines
What You’ll Do:
- Design and build a robust marketing platform that reaches the right audience, anywhere, anytime
- Build high volume services that are reliable at scale
- Develop big data solutions using open source frameworks
- Collaborate with and explain complex technical issues to Product and Project Leads
- Optimize and enhance existing products
What You’ll Bring:
- 5+ years of Java, Kotlin, or Scala development experience
- Experience writing SQL queries and designing database tables
- Python experience (preferred)
- Knowledge of modern design patterns
- Experience with Microservice style architecture
- Experience using Cloud hosting solutions (K8, Istio, etc.)
- Experience using GIT
- Knowledge of how to write effective unit & functional test cases using test frameworks such as Junit
- Comfortable in a Linux/UNIX environment
- Experience on AWS, GCP, or other cloud infrastructure
- Knowledge of NoSQL databases such as Cassandra (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 Build with Ferguson Master, OneWheel, Tarte, Decked, and National University.
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