Lead Data Scientist (Growth & Performance Marketing)

This position is posted by Jobgether on behalf of a partner company. We are currently looking for a Lead Data Scientist (Growth & Performance Marketing) in California (USA).

We are seeking a Lead Data Scientist to drive growth and performance marketing analytics at a high-impact, fast-paced organization. In this role, you will lead the development of advanced marketing measurement systems, optimize customer acquisition and lifetime value, and mentor a team of data scientists. You will partner closely with marketing, finance, and product teams to connect marketing investments to measurable business outcomes. The role requires both technical expertise in marketing attribution and a strong strategic mindset to influence growth initiatives. You will define best practices for marketing analytics, design innovative experimentation approaches, and ensure data-driven decision-making across the organization. This is a unique opportunity to shape marketing strategy and performance while contributing to a collaborative and mission-driven culture.

Accountabilities

• Lead the development and implementation of marketing measurement systems, including Marketing Mix Modeling (MMM), Multi-touch Attribution (MTA), and incrementality testing.
• Establish and evangelize methodological standards for marketing analytics and causal inference.
• Build frameworks for Customer Lifetime Value (CLV) modeling and optimize customer acquisition cost (CAC).
• Coach and mentor data scientists on advanced attribution techniques and growth analytics best practices.
• Lead geo-experimentation, matched market testing, and development of self-service dashboards for marketing performance monitoring.
• Collaborate with finance, marketing, and product teams to align analytics with business goals, optimize spend allocation, and monitor Return on Ad Spend (RoAS).
• Represent the data science team in strategic planning discussions and marketing budget evaluations.

• 10+ years of professional experience in data science or analytics with strong proficiency in Python, SQL, or R.
• 3+ years of experience leading marketing analytics or growth-focused data science teams.
• Deep expertise in marketing attribution methodologies, including MMM, MTA, and incrementality testing.
• Experience in customer lifetime value modeling, cohort analysis, and marketing performance optimization.
• Proven ability to translate complex analytical insights into actionable recommendations for marketing teams and executives.
• Strong experience with Bayesian hierarchical modeling, ridge regression, and other statistical modeling techniques.
• Excellent communication, business acumen, and leadership skills with a track record of mentoring teams.
• Nice-to-have: experience in media or streaming industries, privacy-preserving measurement, econometric modeling, propensity modeling, or modern martech/CDP platforms.

• Annual salary: $172,000–$237,000 depending on experience and location.
• Company stock options and equity participation.
• Full health, dental, and vision coverage for employees and their families.
• 401(k) plan with employer contributions.
• Flexible working hours and fully remote options within the U.S.
• Up to 20 weeks of fully paid parental leave.
• Unlimited paid time off and $2,000 annual vacation bonus.
• $5,250 annual professional development and educational assistance.
• Home office and technology stipend.
• Commuter benefits and optional in-office work bonus.
• Gympass subscription and dog-friendly offices.
• Additional wellness and team culture perks.

Jobgether is a Talent Matching Platform that partners with companies worldwide to efficiently connect top talent with the right opportunities through AI-driven job matching.

When you apply, your profile goes through our AI-powered screening process designed to identify top talent efficiently and fairly.

🔍 Our AI evaluates your CV and LinkedIn profile thoroughly, analyzing your skills, experience, and achievements.
📊 It compares your profile to the job’s core requirements and past success factors to determine your match score.
🎯 Based on this analysis, we automatically shortlist the 3 candidates with the highest match to the role.
🧠 When necessary, our human team may perform an additional manual review to ensure no strong profile is missed.

The process is transparent, skills-based, and free of bias — focusing solely on your fit for the role.
Once the shortlist is completed, we share it directly with the company that owns the job opening. The final decision and next steps (such as interviews or additional assessments) are then made by their internal hiring team.

Thank you for your interest!

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