Marketing Data Scientist

Recast; United States; Remote; USD 80,000 - 120,000; Full time

Job summary

An established industry player is seeking a Marketing Data Scientist to revolutionize media measurement. In this exciting role, you will leverage your analytical skills to perform complex data analyses and present actionable insights to clients. You'll collaborate closely with marketers, contributing directly to product direction and business strategy. This remote position offers the flexibility to work from anywhere while ensuring alignment with US Eastern Time zone hours. Join a passionate team of data enthusiasts and enjoy competitive compensation, unlimited PTO, and the opportunity for ownership in a fast-growing company at the forefront of a multi-billion dollar industry.

Benefits

Unlimited PTO

Competitive Salary

Early Stage Equity

Minimal Standing Meetings

Frequent Collaboration

Qualifications

• 2+ years of experience as a data analyst or data scientist.
• Experience in marketing data science and media performance measurement.

Responsibilities

• Perform complex data analyses and present results to clients.
• Onboard new clients and manage data pipelines in R.

Skills

Data Analysis

R Programming

Basic Statistics

Bayesian Statistical Modeling

Marketing Data Science

Client Consulting

Education

Bachelor's Degree in a Relevant Field

Tools

R

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 statistics and experimental methods.
• 2+ years of experience working as a data analyst or data scientist.
• 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 results 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/ Andy Bennington (1hr).
• Final Interview w/ Michael Kaminsky.

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 unlimited 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). Note that this role is required to work in alignment with US ET zone.

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