Senior Data Science Manager, Growth and Optimization (Remote - US)

This position is posted by Jobgether on behalf of a partner company. We are currently looking for a Senior Data Science Manager, Growth and Optimization in the United States.

This role offers the opportunity to lead a high-performing team of data scientists focused on driving measurable growth across customer acquisition, engagement, and retention initiatives. You will define and execute an analytical strategy that powers data-driven marketing decisions, balancing experimentation, advanced analytics, and business impact. Collaborating closely with marketing, product, and cross-functional partners, you will influence senior leadership, optimize key growth levers, and elevate the analytical capabilities of your team. The position combines hands-on data science, strategic leadership, and mentoring in a fast-paced, high-impact environment, with direct influence on revenue and business outcomes.

Accountabilities:

·         Lead and define the analytical vision for growth initiatives, ensuring data, experimentation, and measurement rigor guide decision-making.

·         Develop and maintain metrics, methodologies, and experimentation frameworks to evaluate and optimize acquisition, engagement, and retention programs.

·         Partner with cross-functional teams including Finance, Business Analytics, Marketing, and Product to drive reporting, forecasting, and planning.

·         Collaborate with analysts and engineers to enhance data pipelines, predictive models, and analytics infrastructure.

·         Manage, mentor, coach, and inspire a team of high-performing marketing data scientists.

·         Influence senior leadership decisions by providing data-driven insights and recommendations.

·         7+ years of analytics experience with at least 3 years in a management role.

·         Proven track record of driving business impact through analytics in growth, performance, or ROI-focused marketing programs.

·         Strong analytical and technical skills, with experience applying experimentation, lift tests, attribution, and other measurement techniques.

·         Ability to prioritize high-impact work and coach a team to success.

·         Strong communication skills and ability to build relationships across teams and with senior leadership.

·         Hands-on experience in data-driven marketing, including predictive modeling and optimization of marketing campaigns.

·         Competitive salary range, varying by location:

o    $236,300–$305,800 for San Francisco/Bay Area, San Jose, NYC, or Seattle metros

o    $212,700–$275,200 for Austin, DC, CA, MA, NJ, or WA

o    $200,900–$259,900 for other U.S. locations

·         Remote work flexibility across approved U.S. locations.

·         Comprehensive health, dental, and vision coverage.

·         Paid parental leave and fertility benefits.

·         Generous PTO, sick leave, holidays, and personal holidays.

·         Retirement savings plan with company contributions.

·         Career growth opportunities and learning/development resources.

·         Inclusive and collaborative culture that values diversity and equity.

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. Final decisions, interviews, and assessments are then handled by their internal hiring team.

Thank you for your interest!

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