Job description

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.

Requirements

Must-haves

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
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
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
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

Nice-to-haves

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

Application prep

Use the role’s language and application details while tailoring your materials.

Platform: greenhouse
Effort: quick

Benefits

Benefits detected in the listing.

Pto