Vox Media

Senior Data Scientist, Subscriptions

Vox Media$145K — $180K *
Media
Less than 5 years of experience
Job Overview by Ladders

Qualifications

  • Proven experience in leveraging data science to drive business decisions.
  • End-to-end ownership of problem-solving from framing to execution and analysis.
  • Proficient in Python and SQL with a focus on data science and analytics.
  • Strength in experimental design and interpreting results for actionable insights.
  • Demonstrated high agency and a proactive approach to project outcomes.

Responsibilities

  • Develop predictive models to assess subscriber retention and engagement.
  • Create lifetime value models to optimize marketing acquisition strategies.
  • Enhance recommendation systems to provide personalized experiences at scale.
  • Design and analyze experiments to inform product and marketing decisions.
  • Implement automation and integration for real-time data-driven decision making.

Benefits

  • Comprehensive benefits package to support employees' personal and professional needs.
  • Permanent, full-time position with eligible benefits.
  • Hybrid work schedule based in New York City.
Full Job Description
As a Senior Data Scientist focused on our Subscriptions businesses, you'll work on problems that fuel the next stage of growth. You will build tools, models, and frameworks that improve and act on our understanding of what our paying subscribers care about, what marketing strategies are most impactful, and how to engage our readers.

This role is on Vox Media's Data team. We're a small team that works unusually end-to-end. We own and maintain our data warehouse, have also put recommendation models in production, enable marketing personalization across channels, and own our experimentation platform.
WHAT YOU'LL OWN
  • Retention and engagement: Build the models and measurement that tell us which subscribers are at risk, why, and which interventions actually work, and then make those outputs drive real decisions in product and marketing.
  • Lifetime value: LTV models that tell us what acquisition channels to lean into, alongside integrations and automation to wire that into the places those spend decisions are made.
  • Personalization at scale: Extend our recommendation systems to new surfaces and form factors, and own the iteration loop.
  • Experimentation: Design and analyze tests that drive which of these experiences make it into production.
HOW WE WORK

We embrace an AI-native way of working and any successful candidate for this role would need to do the same. We use AI daily to write code, analyze data, and push our understanding of new concepts and techniques. Our team is responsible for bringing taste and judgement, framing problems, making decisions, and own accountability for the finished product.
WHAT YOU'LL BRING
  • A track record of using data science to change a business decision, not just inform one, and the ability to walk us through the tradeoffs you made along the way. Cutting-edge ML is not required; choosing the right-sized solution is, even when that's rule-based logic.
  • Comfort owning a problem across its whole lifecycle: framing, building the dataset, modeling, shipping, and measuring what happened.
  • Fluency in Python and SQL, particularly in the context of data science, ML, and analytics

Rigor with experiment design - you'll identify experiments worth running, define details for tests, and draw conclusions and next steps from results
  • High agency - You enjoy owning outcomes rather than individual tasks and are proactive about where you need help

NICE TO HAVES:
  • Experience with a recurring-revenue or subscription business, and the methods that come with it: survival analysis, uplift modeling, multi-touch attribution, engagement segmentation.
  • Exposure to recommender systems or personalization in production.
  • Familiarity with our stack: BigQuery, dbt, Dagster, Python services on Google Cloud, Looker. None of it is a prerequisite; you'll learn it quickly.

If you think you have what it takes, but don't meet every single point in our job posting, please apply with a cover letter to let us know how you believe you can bring your unique skills to the Vox Media team or get in touch!
WHERE YOU'LL WORK

This role is based in our New York City office and follows a hybrid schedule.
WHAT WE OFFER

This is a permanent, full-time position. This job is benefits-eligible. We pride ourselves in providing comprehensive benefits to support all of our employees wherever they are in life. You can find more information about our benefits here.

PAY TRANSPARENCY

The salary range listed below represents the minimum and maximum base pay for this position at the time of this posting. Final salary offered to the candidate selected for the position will be based on factors including but not limited to the candidate's skills and experience.

Pay Range

$145,000-$180,000 USD

About Vox Media

Vox Media is a digital media company that operates several popular websites, including Vox, The Verge, SB Nation, and Eater. The company was founded in 2005 and is headquartered in Washington, D.C. Vox Media's websites cover a wide range of topics, including news, technology, sports, and food. The company's mission is to create high-quality content that informs and entertains its audience. Vox Media has won numerous awards for its journalism, including several National Magazine Awards. The company is privately held and has received funding from several prominent venture capital firms.
Learn more about Vox Media
Size
1,000 employees
Industry
Founded
2003

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