Senior Data Scientist, Subscriptions
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What you'll do
- 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.
What they're looking for
- 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 have
- 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.
Summarised by NextRaise from the employer’s description, which follows in full below.
Full description from employer
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.
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 (recruitment@voxmedia.com).
WHAT COMES NEXT
Our recruiting team will go through applications in a timely manner. Please note that our recruiting team will only contact you from @voxmedia.com email addresses, never via text message. Read more about how our recruiting team operates, and how to protect yourself from recruitment fraud, here.
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