---
title: 'Marketing Data Scientist at Recast'
canonical: 'https://feeny.ai/job/marketing-data-scientist-recast-remote-pjvhv492ehg3'
type: 'job'
last_seen: '2026-10-16'
---

# Marketing Data Scientist at Recast

- **Company:** Recast
- **Location:** Remote
- **Work type:** remote
- **Posted:** 2024-05-09
- **Last confirmed live:** 2026-10-16
- **Apply:** https://job-boards.greenhouse.io/recast/jobs/4032276008

## 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.

## About Recast

## Company Overview
- **One-liner**: Recast provides a rigorous incrementality measurement and forecasting platform powered by proprietary Bayesian marketing mix models, helping marketers optimize billions in annual spend.
- **Entity Type**: Private (Seed stage; total funding $4.5M)
- **Headquarters**: New York, New York, United States; also has an office in Minneapolis, Minnesota
- **Founded**: ~2021-2022 (Pre-Seed round closed October 2022)
- **Founders**: Michael Kaminsky and Tom Vladeck (Thomas Vladeck, Co-Founder & Co-CEO)

## Core Business
- **Primary industry**: Marketing Technology / Marketing Measurement & Analytics
- **Target customers**: B2B; Fortune 500, CPG, fintech, pharmaceutical, and DTC brands (e.g., Block, Canva, PODS, Harry’s, Los Angeles Times)
- **Mission or purpose**: "Rid the world of wasted marketing spend" – help marketers measure the unmeasurable and save millions of advertising budget.

## Products & Services
- **Recast MMM**: Proprietary Bayesian Marketing Mix Model that measures true incremental impact of marketing spend across all online and offline channels. Includes weekly automated refreshes, forecasting, budget optimization, and goal tracking. SaaS platform.
- **GeoLift by Recast**: Standalone geo-based incrementality testing platform for running geo-lift experiments (spend-up, spend-down, go-dark). Self-service, with synthetic control and proprietary REBA algorithm. Starts at $100/month after a 6-month free tier.
- **Planning & Forecasting Tools**: Interactive dashboards for scenario analysis, goal tracking, and pacing – all backed by weekly validated forecasts with >95% accuracy.

## Market Standing
- **Valuation/Market Cap**: Not publicly available
- **Key Metric**: Total funding $4.5M (Pre-Seed $1.1M Oct 2022; Seed $3.4M Dec 2022 led by Lerer Hippeau)
- **Notable Investors/Partners**: Lerer Hippeau (lead investor in Seed round); badged Meta Measurement Partner; SOC 2 compliant
- **Growth Signals**:
  - Manages over $5 billion in annual marketing spend (up from $3B in earlier data)
  - Headcount of 57 employees (+52% YoY growth; +156.5% LinkedIn follower growth YoY)
  - Clients include major names: Block (Square, Cash App, Afterpay), Canva, PODS, Rocket Money, Harry’s, LA Times, GetYourGuide, KOHO, Daily Harvest, Jackpocket
  - Novel research published: multi-stage MMM, time-varying ROIs, upper/lower funnel interaction, spike/promotion modeling

## Competitive Advantages
- **Scientific rigor**: More than 20% of employees hold a PhD in math, statistics, or engineering; 40,000+ parameters re-estimated weekly per model (vs. 100-500 for open-source alternatives)
- **Transparency ("Nowhere to Hide")**: Full model documentation publicly available at docs.getrecast.com; weekly out-of-sample forecast accuracy published to clients; no manual coefficient adjustments
- **Proven accuracy**: >95% cumulative forecast accuracy validated weekly across 3,000+ production models
- **Novel methodology**: Proprietary Bayesian MMM with time-varying parameters, hierarchical modeling of upper/lower funnel, multi-stage conversion funnel modeling, and promotion spike modeling

## Strategic Focus
- Continue advancing media mix modeling research and methodology (e.g., multi-stage MMM, time-varying ROIs)
- Expand client base across verticals (CPG, fintech, pharma, DTC) and geographies
- Deepen platform capabilities for planning, forecasting, and incrementality testing to become the central source of truth for marketing measurement
- Maintain high bar for model quality and transparency to differentiate from black-box competitors

## Why Work Here
- **Culture**: "Built by scientists, for marketers" – strong emphasis on scientific integrity, intellectual honesty, and telling clients uncomfortable truths when needed. High autonomy and ownership.
- **Remote/Hybrid**: Remote-friendly with physical offices in Minneapolis and New York. Many roles listed as remote (e.g., Marketing Data Scientist, Account Executive, Engineering Manager, Senior Software Engineer).
- **Team composition**: Small but growing (57 people); high concentration of PhDs in math/stats; cross-functional collaboration between engineering, data science, and marketing science.
- **Impact**: Work directly on solving hard causal inference problems that save clients millions; see your models influence billions in media spend.
- **Notable perks**: Free unlimited use of GeoLift for 6 months; access to cutting-edge research; weekly model accuracy scorecards keep everyone accountable.

## Sources
1. [getrecast.com – Careers/Jobs](http://job-boards.greenhouse.io/recast)
2. [getrecast.com – Company Overview & Methodology](https://getrecast.com/recast-llm-information/)
3. [getrecast.com – Main Site](https://getrecast.com/)
4. [Built In – Recast Company Profile](https://builtin.com/company/recast-getrecastcom)
5. [LinkedIn – Recast Labs, Inc](https://www.linkedin.com/company/recastlabs)

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