Lead and scale a high-impact data science & AI team focused on revenue growth
Architect and oversee experimentation frameworks to accelerate innovation
Build AI-driven solutions to enhance growth techniques
Partner across functions to embed data-driven thinking into every initiative
Establish clear KPIs for acquisition, activation, retention, and LTV
Elevate the role of data science in shaping business strategy and mentor future leaders
Requirements
10+ years in data science, analytics, or applied ML
5+ years leading teams at scale in top-tier tech, fintech, or growth-driven businesses
Proven track record of using data science to drive customer acquisition, funnel optimization, personalization, and retention in high-growth B2B products
Strong background in analytics, statistical modeling, causal inference, experimentation design
Proficiency with Python/R, SQL, and cloud-based data platforms
Comfortable navigating business trade-offs, prioritizing for outsized growth impact
Skilled at partnering with Product, Engineering, and Marketing leaders to align on shared goals
Thrives in fast-scaling environments with high ambiguity and building from the ground up
Exceptional verbal and written communication skills with the ability to influence executive-level stakeholders
Benefits
US-based employees are eligible to participate in medical, dental, and vision insurance
401(k) plan
Short-term and long-term disability
Basic life insurance
Well-being benefits
20 paid days of vacation
12 paid days of company holidays in a calendar year
Applicant Tracking System Keywords
Tip: use these terms in your resume and cover letter to boost ATS matches.
Hard skills
data scienceanalyticsapplied MLstatistical modelingcausal inferenceexperimentation designPythonRSQLcloud-based data platforms