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Juice Media is seeking a Data Scientist Manager to lead Marketing Sciences, building and maintaining analytical tools for measuring marketing impact. You will collaborate with data engineering and client success to onboard data, assess quality, and transform inputs for models and reports.
The role requires 6+ years in marketing sciences, strong SQL/Python/R skills, and experience with MMM, attribution, and tests. Remote role with in-office days in LA preferred; NYC/LA candidates prioritized.
Employment type Full-time employee Department Marketing Sciences Work location Marina del Rey, CA, Remote Compensation $95,000 – $115,000 annually
Final compensation will depend on the location and level at which the candidate is hired
The Role:
The Marketing Sciences team is tasked with supporting clients in understanding the contribution, efficiency, and return of their marketing activities on business results. We’re looking for a data science manager who can build and maintain the analytical tools and solutions to achieve this end goal. This role will collaborate with data & engineering and our client success teams to deliver on the below responsibilities.
Responsibilities:
Collaborate with data engineering to onboard client data and client success to ensure proper discovery and intake.
Conduct upfront data assessment, identify potential data quality issues, and build transformation logic to produce model inputs and reported activities.
Develop client-facing data validation and internally exploratory data analysis output, formulating questions and hypotheses for client and internal teams.
Manage buildout of marketing mix models and response / attribution models, and run test geo match market test designs.
Support senior marketing sciences team members in delivering bespoke measurement solutions to address ad hoc client questions and needs.
Ensure quality assurance and statistical rigor stands behind every piece of work delivered to the CS team.
Identify areas of opportunity to improve marketing measurement practices for improved operational efficiency, statistical rigor, and client benefit.
Qualifications:
6+ years marketing sciences experience building MMM, video response & attribution models, and testing (geo match market and user-level).
Experience with Bayesian hierarchical and ML models.
Experience with integrated measurement toolset (MMM+Attribution+Tests).
Experience delivering weekly and monthly measurement delivery cadence.
Experience supporting client accounts as an external partner.
Familiarity with Nielsen, MRI syndicated data preferred.
Strong SQL, Python, and R programming language skillset.
Bachelor’s Degree required, Master’s preferred.
Legally authorized to work in the U.S.
Remote role. Preference will be given to individuals in New York or Los Angeles. Candidates in Los Angeles are expected to be in office three days a week (Monday-Wednesday).
How We Work:
Eight values, all rooted in how a great juice gets made — and how great performance media gets delivered.
We are juicers. You are accountable for the single output, never for your slice of it.
Sharp knives only. Every campaign that touches you should run cleaner than the last.
No additives. Transparent buying, clear attribution, honest numbers — including the ones that cost us something.
Try new combinations. The safe setup is rarely the best one. Bring the approach nobody has run yet.
Stay thirsty. A good campaign is not a finished job.
Read the season. You don't run last quarter's setup on this quarter's brief, or this quarter's market.
Waste nothing. Every dollar accounted for. Every failure explained — precisely, not generally.
Taste is the truth. We measure you by results, not by the elegance of the setup.
All the ingredients. Right blend. Pure results.
Juice Media is an Equal Opportunity Employer. We do not discriminate on the basis of race, color, religion, sex, sexual orientation, gender identity, national origin, age, disability, veteran status, or any other characteristic protected by applicable federal, state, or local law. We are committed to building a diverse and inclusive workplace where all employees feel valued and respected.