Senior Data Scientist

Senior Data Scientist

This job is no longer open

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/.

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

As a Senior Data Scientist, you will guide the analysis, methodologies, prototypes and evolution of our performance system. You will lead other data scientists, data engineers, and machine learning experts as well as collaborate with Product Owners, Data Analysts, Software Engineers and other stakeholders to create and iterate on various data intensive products.

What You’ll Do:

  • Become the end to end expert on our campaign optimization platform in an ambiguous and privacy-focused ecosphere.
  • Identify business opportunities and gaps in data insights for both internal and external stakeholders.
  • Lead discussions with other technical and non-technical functions.
  • Propose, implement, and evaluate mechanisms to connect event data across a variety of platforms.
  • Partner with product partners on experimenting on new features, evaluating their impact, and guiding ship decisions.
  • Utilize a variety of mathematical techniques and communicate them to others.
  • Investigate critical incidents and provide insights to data ambiguity.
  • Communicate findings and knowledge to others including vice president and c-suite stakeholders.

What You’ll Bring:

  • 5+ years of experience related to experimentation, A/B testing, causal analysis, machine learning, look-alike modeling, ranking or equivalent. Advanced degrees in Computer Science, Mathematics, Electrical Engineering, Statistics, Economics or similar may be substituted for some years of experience.
  • Experience in SQL, Python, Jupyter Notebooks, R, or similar languages and a history of technical mentoring.
  • Hands-on experience working with NoSQL, Spark, Hive, BigQuery, Databricks, Snowflake, or similar technologies.

MNTN Perks:

  • Work from home anywhere in the U.S.
  • 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, Tarte, OneWheel, Decked, and National University.

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This job is no longer open
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