{"id":99436,"url":"https://alion.io/job/recast-marketing-data-scientist","title":"Marketing Data Scientist","company":{"id":1928268,"name":"Recast","domain":"getrecast.com","url":"https://alion.io/company/getrecast","size_band":"11-50","is_staffing_agency":false,"employer_type":"direct","is_intermediary":false,"listed_via":null,"ats_vendor":"Greenhouse","truth_index":null},"role":"Data Science","role_family":"Data Science","seniority":"junior","employment_type":null,"work_mode":"remote","remote_scope":"stated_countries","remote_scope_basis":"posting_text","remote_working_hours":{"label":"EST","utc_offset_min":-5,"utc_offset_max":-5},"hiring_geo_confidence":"inferred","locations":[],"countries":[],"hiring_countries":["US"],"hiring_countries_total":1,"salary":null,"salary_estimate":{"min_usd":56000,"max_usd":143000,"period":"year","method":"global_role_seniority_cell","sample_n":578},"experience_years_min":2,"visa_sponsorship":false,"relocation_package":false,"has_equity":false,"technologies":[],"status":"live","first_seen_at":"2024-05-09T15:33:14Z","employer_posted_date":"2026-02-06","last_verified_at":"2026-10-20T04:37:13Z","board_verified":true,"closed_at":null,"days_open":893,"trust":{"level":"stale","repost_count":0,"flags":["stale"],"days_open":893},"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.\nWhat you'll do in your first 6 months:\nPerform complex data analyses and present the results to clients to help them interpret and action on the insights from the Recast model.\nOnboard new clients onto Recast's platform,work hand-in-hand with them to set priors, interpret results, and plan experiments to validate the model.\nDevelop and manage data pipelines in R\nIdentify and enact process improvements to improve efficiency across the data science team\nThings you probably have experience in:\nPresenting results of your analyses to both technical and non-technical audiences\nUse of R for data cleaning and exploratory data analysis\nBasic statistic and experimental methods\n2+ years of experience working as a data analyst or data scientist\nBonus points:\nMarketing data science and media performance measurement\nPartnering directly with marketers to shape budgets and structure tests\nExperience with Bayesian statistical modeling\nThings that should excite you that might scare off other folks:\nWorking directly with marketers on applying modeling result to marketing strategy\nContributing directly to product direction and business strategy\nWorking with a team of math-loving statistics nerds\nExploring the output of a complex statistical model with over 30k parameters\nOpportunity for ownership in a fast-growing company at the cutting-edge of a multi-billion dollar industry\nOur Hiring Process for this role:\nIntro Call (30mins)\nTake Home Assignment (1-2 days given)\nTechnical Interview & Assignment Discussion w/ Charlie Radke or Jeff Strome (1hr)\nFinal Interview w/ Thomas Vladeck\nWhat we offer you:\nWork wherever you’re happiest. We're fully remote. This role is required to overlap with US Eastern Time zone hours\nCompetitive remote salary along with early stage equity\nYour local holidays plus unmetered PTO (minimum 2 weeks mandatory PTO!)\nMinimal standing meetings with frequent collaboration and async by design\nAutonomy and support to do your best work in your own time\nNote: 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.\nWhile 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.\nIf this sounds interesting to you, we'd love to learn more about you!\nPlease note salary ranges are estimated for US-based employees. 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