Data Scientist, Marketing

Wealthfront

. Provide hands-on technical leadership to a team of data scientists working in the Marketing area, translating business problems into Data Science tasks.

Posted 11/3/2026full-timeUnited StatesMid-LevelSenior💰 $164,000 - $211,000 per yearWebsite

Core Competencies

Role fit

Core Competencies

Use this summary to align your resume positioning with the role.

Demonstrates expertise in Data Science with a strong foundation in Statistics and proficiency in Python and SQL. Capable of providing technical leadership, mentoring junior team members, and effectively communicating complex concepts within a Marketing context.

Highest-signal resume keywords

Data Science LeadershipProficiency In PythonProficiency In SQLPractical StatisticsMarketing Analytics

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills

Data AnalysisMathematical AnalysisSoftware DevelopmentCausal InferenceA/B Experiment DesignMedia Mix ModelingClient SegmentationRevenue Modeling

Soft Skills

Technical CommunicationCollaborationMentoringProject Management

Certifications & Qualifications

Masters DegreePhD Degree

Industry Keywords

MarketingData ScienceOperations ResearchNatural Sciences

Tech Stack

Tools & technologies

PythonSQL

About the role

Key responsibilities & impact

Provide hands-on technical leadership to a team of data scientists working in the Marketing area, translating business problems into Data Science tasks.
Employ and exemplify rigor in mathematical analyses and sound design principles in software development.
Collaborate with the Marketing team to define quarterly and yearly initiatives.
Turn initiatives into projects with clear rationale, candidate approaches and milestones.
Execute planned projects through hands-on work and delegation, including tracking project priority and progress in weekly meetings.
Articulate technical information, including assumptions, methodologies, and outcomes to specialists across disciplines.
Translate hunches to hypotheses and numbers into recommendations.
Absorb and articulate the Marketing strategy and project rationales to Data Scientists.
Analyze campaign performance, paths to conversion, incrementality, media mix modeling, client segmentation, A/B experiment design, and client revenue modeling.
Mentor junior team members and explain technical concepts in simple language.

Requirements

What you’ll need

A Masters or PhD degree in Computer Science, Statistics, Operations Research or Natural Sciences, with 4-8 years of prior experience as a Data Scientist.
Proficiency in Python and SQL
A strong foundation in practical Statistics including the use of causal inference.
Strong mathematical and software engineering skills.
Fluency in long and short form oral and written communication.
Ability to sharpen or reframe project requirements through effective collaboration.
Strong desire and ability to mentor junior Data Scientists by exemplifying math, engineering and technical communication skills.
Experience in a Marketing facing role preferred, but not required.

Benefits

Comp & perks

Equity
Discretionary bonus
Medical insurance
Vision insurance
Dental insurance
401K plan
Generous time off
Parental leave
Wellness reimbursements
Professional development
Employee investing discount