Senior Data Science Manager, Growth and Optimization

Jobgether; United States; Remote; USD 200,900 - 305,800; Full time

Benefits offered by this job

Competitive salary

Opportunities for professional growth

Flexible work environment

Comprehensive healthcare benefits

Job summary

A leading analytics firm is seeking a Senior Data Science Manager to lead a high-performing team focusing on growth and optimization. This role involves strategic influence and hands-on analytics, while mentoring your team to drive measurable growth. The ideal candidate has extensive experience in analytics, strong analytical skills, and the ability to influence senior decision-making. A competitive salary and flexible work options are available.

Qualifications

• 7+ years of analytics experience with at least 3 years in a management or leadership role.
• Proven track record of driving business impact through analytics.

Responsibilities

• Lead the analytical vision for growth initiatives.
• Partner with cross-functional teams for corporate reporting.
• Collaborate to develop and enhance marketing analytics infrastructure.

Skills

Analytics experience

Data modeling

Hands-on analytics

Predictive modeling

Communication skills

Tools

Marketing analytics tools

Job description

Senior Data Science Manager, Growth and Optimization

Overview

This role provides the opportunity to lead a high-performing team of marketing data scientists driving measurable growth across acquisition, engagement, and retention. You will partner closely with marketing and growth leaders to define a rigorous analytical agenda, ensuring data and experimentation guide all key decisions. The position combines hands-on analytics, strategic influence, and leadership in a fast-paced, innovative environment. You will mentor your team, optimize complex data pipelines and predictive models, and help shape a culture of analytical excellence and accountability. The impact of your work directly influences revenue growth, marketing efficiency, and customer experience.

Accountabilities

• Lead the analytical vision for growth initiatives across acquisition, engagement, and retention, defining metrics, methodologies, and experimentation frameworks
• Partner with cross-functional teams, including Marketing, Finance, Business Analytics, MarTech, and Applied Scientists, to drive corporate reporting, forecasting, and planning
• Collaborate with analysts and engineers to develop and enhance marketing analytics infrastructure, including data pipelines and predictive models
• Influence senior executive decision-making by providing clear, data-driven insights and recommendations
• Recruit, mentor, coach, and inspire a team of high-performing marketing data scientists
• Work closely with other data science leaders to continually evolve the analytics culture in a dynamic growth environment

Requirements

• 7+ years of analytics experience with at least 3 years in a management or leadership role
• Proven track record of driving business impact through analytics in growth, performance, or ROI-focused marketing programs
• Strong analytical and technical skills, with hands-on experience in data modeling, experimentation, lift tests, and attribution
• Experience managing and prioritizing high-impact work while coaching and empowering a team of analysts
• Exceptional communication skills with the ability to influence cross-functional stakeholders and senior leadership
• Hands-on experience with marketing analytics tools, predictive modeling, and large-scale data pipelines

Benefits

• Competitive salary based on location: $200,900 — $305,800 USD, with variations for specific metro areas
• Opportunities for professional growth, leadership, and mentorship
• Flexible work environment, including remote options across eligible locations
• Comprehensive healthcare and wellness benefits
• Access to cutting-edge tools and data infrastructure to drive impactful analytics work
• Collaborative and inclusive team culture, fostering learning and innovation

Additional Details

• Seniority level
• Mid-Senior level
• Employment type
• Full-time
• Job function
• Information Technology
• Industries
• Non-profit Organizations and Primary and Secondary Education

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