We’re building the next generation of media measurement technology. We’re scientists and engineers applying cutting-edge techniques to the hardest problems in a multi-hundred-billion dollar market. Every year, billions of dollars are wasted on ineffective and unmeasurable marketing campaigns — Recast helps marketers measure the unmeasurable and save millions of dollars of marketing budget.

We’re hiring a marketing data scientist to work directly with clients and help us build the future of media measurement.

**What you’ll do in your first 6 months:**

– Onboard new clients onto Recast’s platform and work hand-in-hand with them to set priors, interpret their results, and plan experiments to validate the model.
– Implement complex statistical analyses of marketing data to help us improve Recast’s statistical internals and help clients improve their marketing efficiency.
– Develop libraries and patterns of analysis that we will use to help clients interpret and make use of their data

**Things you probably have experience in:**

– Deep and complex use of R
– Bayesian methods, with exposure to Stan
– Causal inference
– Marketing data science and media performance measurement
– Partnering directly with marketers to shape marketing budgets and structure tests

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

– Working at the cutting edge of causal inference and computational statistics
– Working directly with marketers on applying modeling result to marketing strategy
– Exploring the output of a model with over 30k parameters
– Contributing directly to product direction and business strategy

We’re looking for our first full-time data scientist that can help us really expand the impact of Recast — this is a great opportunity to participate in pushing the frontier of statistics and buildingthe future of marketing data science.

While Recast is officially based in the US, we’re a fully remote team (one founder lives in Brooklyn, the other in Mexico City). We can’t sponsor visas at this time, unfortunately.

If this sounds interesting to you, email us with a bit about yourself and any relevant linkedin / github links / resumes using the address below.

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