Note: The job is a remote job and is open to candidates in USA. SoTalent is seeking a Senior Data Scientist - Growth to use data, analytics, and experimentation to identify growth opportunities and inform product strategy. The role partners with product, engineering, design, and marketing teams, develops growth metrics and analytical models, and delivers recommendations to guide business decisions.
Responsibilities
- Partner with product, engineering, design, and marketing stakeholders to identify high-impact business opportunities and influence strategic product decisions
- Analyze customer acquisition, onboarding, activation, engagement, and retention funnels to identify growth opportunities and areas for optimization
- Develop and maintain key growth metrics, performance frameworks, and analytical models that provide visibility into business performance
- Evaluate opportunities, quantify business impact, and help prioritize product roadmaps and strategic initiatives
- Design, execute, and analyze A/B tests and other experimentation methodologies to measure outcomes and guide decision-making
- Conduct funnel analysis, cohort analysis, retention analysis, and behavioral studies to understand customer journeys and business performance
- Deliver actionable insights and recommendations, balancing speed and rigor based on business needs and priorities
- Collaborate with data scientists, analytics engineers, and data engineers to build scalable, self-service analytics solutions and trusted reporting frameworks
- Translate complex analytical findings into clear, compelling narratives for stakeholders at all levels, including executive leadership
- Support annual planning, growth forecasting, and strategic business initiatives through quantitative analysis and data-driven recommendations
Skills
- 6+ years of experience in Data Science, Product Analytics, Growth Analytics, or a related analytical discipline
- At least 3 years of experience partnering closely with product and growth-focused teams
- Strong product and business acumen with a demonstrated ability to influence product strategy and business outcomes through data
- Deep experience with experimentation methodologies, including A/B testing, statistical analysis, and performance measurement
- Expertise in customer lifecycle analytics, including acquisition, activation, engagement, retention, and conversion optimization
- Advanced proficiency in SQL for data extraction, manipulation, and analysis
- Strong programming skills in Python, R, or a similar statistical programming language
- Excellent analytical, critical-thinking, and problem-solving abilities
- Strong communication and storytelling skills with the ability to present insights to both technical and non-technical audiences
- Ability to navigate ambiguity, challenge assumptions, and make recommendations when data is incomplete or evolving
- Experience with product analytics, business intelligence, and experimentation platforms
- Familiarity with modern cloud data warehouses, analytics engineering tools, and data transformation frameworks
- Experience working within fintech, digital products, SaaS, e-commerce, consumer technology, or subscription-based businesses
- Knowledge of customer growth strategies, lifecycle marketing, and performance optimization frameworks
- Experience analyzing mobile applications, digital customer journeys, or self-service platforms
- Understanding of advanced statistical methods, predictive modeling, or causal inference techniques
Benefits
- Remote work within the Continental U.S., with occasional travel.
Company Overview