Senior Data Scientist, Subscriptions

Vox Media; New York, Northern (NY, KY); On-site; USD 145,000 - 180,000; Full time

Job summary

Vox Media is seeking a Senior Data Scientist focused on our Subscriptions business to build models, tools, and frameworks that drive growth and inform marketing and product decisions. You’ll join a small, end-to-end Data team that owns our data warehouse, has production recommendation models, enables marketing personalization, and owns our experimentation platform.

Collaborate across product, growth, and engineering to translate analyses into actionable outcomes and scale data-driven decisions

Qualifications

• A track record of using data science to change a business decision.
• Comfort owning a problem across its whole lifecycle: framing, building the dataset, modeling, shipping, and measuring.
• Fluency in Python and SQL in data science/ML contexts.
• Rigor with experiment design and drawing actionable conclusions from results.

Responsibilities

• Retention and engagement models that identify at-risk subscribers and drive interventions.
• Lifetime value models to guide acquisition channel decisions and automate integration into decision points.
• Personalization at scale extending recommendation systems to new surfaces and forms.
• Design and analyze experiments that determine which experiences ship to production.

Skills

Python

SQL

Data science impact

Experiment design

Problem ownership

Tools

BigQuery

dbt

Dagster

Looker

Google Cloud

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

OUR DEI+ COMMITMENT

Vox Media is committed to building an inclusive environment where everyone can show up as their authentic selves and create their best work. We recognize that great stories, platforms, products and services come from people with all manner of backgrounds and experiences. We recognize that our commitments require ongoing work and sustained attention, as well as adaptation to new insights and best practices.

Vox Media is an Equal Opportunity Employer and qualified applicants will receive consideration without regard to race, color, gender, sexual orientation, gender identity or expression, religion, disability, national origin, protected veteran status, age, or any other status protected by applicable national, federal, state, or local law. Vox Media will also consider all qualified applicants with criminal histories in accordance with applicable Fair Chance laws. We are also committed to providing reasonable accommodations as part of the application process to candidates with disabilities. If you require a reasonable accommodation as part of the application process, please contact our recruiting team ([e-mail]).