At [Recast](https://getrecast.com/), 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 โ Recast helps marketers measure the unmeasurable and save millions of dollars of marketing budget.\n\nWe're hiring a marketing data scientist to work directly with clients and help us build the future of media measurement.\n\n**What you'll do in your first 6 months:**\n\n- 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.\n- Implement complex statistical analyses of marketing data to help us improve Recast's statistical internals and help clients improve their marketing efficiency.\n- Develop libraries and patterns of analysis that we will use to help clients interpret and make use of their data\n\n**Things you probably have experience in:**\n\n- Deep and complex use of R\n- Bayesian methods, with exposure to Stan\n- Causal inference\n- Marketing data science and media performance measurement\n- Partnering directly with marketers to shape marketing budgets and structure tests\n\n**Things that should excite you that might scare off other folks:**\n\n- Working at the cutting edge of causal inference and computational statistics\n- Working directly with marketers on applying modeling result to marketing strategy\n- Exploring the output of a model with over 30k parameters\n- Contributing directly to product direction and business strategy\n\nWe're looking for our first full-time data scientist that can help us really expand the impact of Recast โ this is a great opportunity to participate in pushing the frontier of statistics and buildingย the future of marketing data science.\n\nWhile 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.\n\nIf this sounds interesting to you, email us with a bit about yourself and any relevant linkedin / github links / resumes at [email protected]. \n\nPlease mention the word **ASSURE** when applying to show you read the job post completely (#RMTguMjIyLjE4My42Mw==). This is a feature to avoid spam applicants. Companies can search these words to find applicants that read this and see they're human.\n\n \n\n#Salary and compensation\n
$90,000 — $120,000/year\n
\n\n#Location\nUnited States
# How do you apply?\n\nEmail us with a bit about yourself and any relevant linkedin / github links / resumes at [email protected]
๐ Please reference you found the job on Remote OK, this helps us get more companies to post here, thanks!
When applying for jobs, you should NEVER have to pay to apply. You should also NEVER have to pay to buy equipment which they then pay you back for later. Also never pay for trainings you have to do. Those are scams! NEVER PAY FOR ANYTHING! Posts that link to pages with "how to work online" are also scams. Don't use them or pay for them. Also always verify you're actually talking to the company in the job post and not an imposter. A good idea is to check the domain name for the site/email and see if it's the actual company's main domain name. Scams in remote work are rampant, be careful! Read more to avoid scams. When clicking on the button to apply above, you will leave Remote OK and go to the job application page for that company outside this site. Remote OK accepts no liability or responsibility as a consequence of any reliance upon information on there (external sites) or here.