Stop applying to jobs that are already dead.
Every listing verified, aged honestly, expired when filled.

All listings

Recast via Greenhouse

Marketing Data Scientist

Level not stated Location not stated
still open verified 6h ago posted 858d ago checked 2h ago

Posted 858 days ago, which is unusual. The employer's own board was still carrying it when we last read it, 2 hours ago.

Apply at job-boards.greenhouse.io

This is the employer's own posting, not a copy on a job board.

What we know

Is it still open?

Confirmed still open

Last checked 6h ago — checked against the employer's own applicant tracking system, which is the company answering directly.

We re-read the employer's own applicant tracking system and the posting was still there. That is the company answering directly.

Check this listing's status as JSON

How old is it?

Posted 858d ago

The date the source published, not the day we noticed it (2024-05-09). Last seen at its source 2h ago.

Is it remote?

Remote

That is the location the employer filed this posting under. Quoted as written — we do not re-word the source's own location.

Who may apply?

Not stated

The description states no restriction of its own. This is the source's own tag.

Skills named in the ad

Data AnalysisETLStatistics

Recognised terms only, from a fixed vocabulary — this is what CV matching compares against.

Carried by 1 source

The listing

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.

Apply at job-boards.greenhouse.io