Recast (getrecast.com) Logo

Recast (getrecast.com)

Marketing Data Scientist

Reposted 22 Days Ago
Remote
Junior
Remote
Junior
The Marketing Data Scientist will analyze data, onboard clients, develop data pipelines in R, and propose improvements to enhance efficiency.
The summary above was generated by AI

We're hiring a Marketing Data Scientist to help us build the future of media measurement. This role will be focused on maximizing the value clients get out of Recast through a combination of client-facing consulting and internal development.

What you'll do in your first 6 months:

  • Perform complex data analyses and present the results to clients to help them interpret and action on the insights from the Recast model.
  • Onboard new clients onto Recast's platform,work hand-in-hand with them to set priors, interpret results, and plan experiments to validate the model.
  • Develop and manage data pipelines in R
  • Identify and enact process improvements to improve efficiency across the data science team

Things you probably have experience in:

  • Presenting results of your analyses to both technical and non-technical audiences
  • Use of R for data cleaning and exploratory data analysis
  • Basic statistic and experimental methods
  • 2+ years of experience working as a data analyst or data scientist

Bonus points:

  • Marketing data science and media performance measurement
  • Partnering directly with marketers to shape budgets and structure tests
  • Experience with Bayesian statistical modeling

Things that should excite you that might scare off other folks:

  • Working directly with marketers on applying modeling result to marketing strategy
  • Contributing directly to product direction and business strategy
  • Working with a team of math-loving statistics nerds
  • Exploring the output of a complex statistical model with over 30k parameters
  • Opportunity for ownership in a fast-growing company at the cutting-edge of a multi-billion dollar industry

Our Hiring Process for this role:

  • Intro Call (30mins)
  • Take Home Assignment (1-2 days given)
  • Technical Interview & Assignment Discussion w/ Charlie Radke or Jeff Strome (1hr)
  • Final Interview w/ Thomas Vladeck

What we offer you:

  • Work wherever you’re happiest. We're fully remote. This role is required to overlap with US Eastern Time zone hours
  • Competitive remote salary along with early stage equity
  • Your local holidays plus unmetered PTO (minimum 2 weeks mandatory PTO!)
  • Minimal standing meetings with frequent collaboration and async by design
  • Autonomy and support to do your best work in your own time

Note: Recast is committed to building a diverse team so if you are from an under-represented background in tech (e.g., women, non-white, etc.) please apply even if you don’t necessarily check all of the boxes here.

While Recast is officially based in the US, we're a fully remote team (one founder lives in Brooklyn, the other in Mexico City and team members in 6+ countries around the world). This role is required to work in alignment with US EST zone.

If this sounds interesting to you, we'd love to learn more about you!
Please note salary ranges are estimated for US-based employees. Candidates from other geographies may have the salary range adjusted based on their local markets.

Similar Jobs

8 Days Ago
Remote
USA
30K-42K Annually
Senior level
30K-42K Annually
Senior level
Information Technology • Consulting
Lead healthcare and pharmaceutical marketing analytics: analyze CRM, media, healthcare and behavioral data; build segmentation, attribution, audience scoring, and predictive models; develop measurement frameworks; use Python, SQL, BI and automation; translate insights for executives; mentor juniors and partner with Strategy, Media, and Client Services.
Top Skills: Ai ToolsAzureETLMachine LearningMarketing Mix ModelingPower BIPythonSQL
13 Days Ago
Remote
United States
Senior level
Senior level
AdTech • Big Data • Consumer Web • Digital Media • Marketing Tech
Lead end-to-end data science for a priority vertical (Insurance), building, validating, and deploying ML models that drive ROAS and lead quality. Partner with stakeholders and ML engineering to monitor live performance, iterate models, and identify new modeling opportunities to improve revenue and media efficiency.
Top Skills: AWSLtv ModelingMulti-Armed BanditPythonRanking SystemsRecommendation SystemsReinforcement LearningSQL
15 Days Ago
In-Office or Remote
San Francisco, CA, USA
140K-288K Annually
Senior level
140K-288K Annually
Senior level
Social Media
Lead measurement and optimization for performance marketing: design experiments, build and deploy statistical and ML models (LTV, propensity, forecasting), evolve incrementality testing, develop ETL pipelines and dashboards, translate findings into actionable recommendations, and collaborate cross-functionally to drive user growth and marketing strategy.
Top Skills: ETLHivePythonRSQL

What you need to know about the San Francisco Tech Scene

San Francisco and the surrounding Bay Area attracts more startup funding than any other region in the world. Home to Stanford University and UC Berkeley, leading VC firms and several of the world’s most valuable companies, the Bay Area is the place to go for anyone looking to make it big in the tech industry. That said, San Francisco has a lot to offer beyond technology thanks to a thriving art and music scene, excellent food and a short drive to several of the country’s most beautiful recreational areas.

Key Facts About San Francisco Tech

  • Number of Tech Workers: 365,500; 13.9% of overall workforce (2024 CompTIA survey)
  • Major Tech Employers: Google, Apple, Salesforce, Meta
  • Key Industries: Artificial intelligence, cloud computing, fintech, consumer technology, software
  • Funding Landscape: $50.5 billion in venture capital funding in 2024 (Pitchbook)
  • Notable Investors: Sequoia Capital, Andreessen Horowitz, Bessemer Venture Partners, Greylock Partners, Khosla Ventures, Kleiner Perkins
  • Research Centers and Universities: Stanford University; University of California, Berkeley; University of San Francisco; Santa Clara University; Ames Research Center; Center for AI Safety; California Institute for Regenerative Medicine

Sign up now Access later

Create Free Account

Please log in or sign up to report this job.

Create Free Account