The Global Business Solutions Group (GBSG) Sales Data Science team is looking to understand, grow, and retain their customer base by leveraging data-driven insights to guide sales strategies, improve customer retention, optimize churn prevention, and enhance targeting efforts.
Requirements
- Advanced skills in SQL, Python, and other analytical tools, with practical experience using data visualization platforms (e.g., Tableau, Qlikview) to communicate insights; Experience with data integration and pipeline development is a plus
- Demonstrated proficiency in causal inference techniques, statistical modeling, machine learning, and experimental design
- Experience using statistics and machine learning techniques to solve complex business problems within product marketing, e.g., product funnel optimization, propensity for feature adoption, next best action models etc.
- Proven experience working with sales or go-to-market teams; deep understanding of customer retention, churn analysis, and sales optimization strategies
- Strong business acumen, excellent communication and storytelling skills with a track record of effectively simplifying the complex and delivering compelling narratives to stakeholders at all levels through data-driven insights
- M.S. or Ph.D. in a quantitative field (e.g., Statistics, Computer Science, Economics, Mathematics, Operations Research) or equivalent work experience
- 7+ years of experience in data science, with a proven record of applying advanced analytical methods to drive sales growth ideally in Saas or financial technology companies serving consumer or B2B segments
Responsibilities
- Drive Business Strategy through Data - Translate business problems into analytical frameworks. Connect data across multiple functions to drive actionable recommendations and strategic growth opportunities for the Mid Market Sales Team
- Conduct deep-dive analyses on pipeline, win/loss, and customer lifetime value to inform strategic decisions. Create dashboards, visualizations, and self-serve tools to democratize access to insights across cross-functional teams and leadership.
- Own retention and churn analytics, including designing metrics, identifying risk signals, and recommending interventions
- Partner with data engineering and platform teams to ensure reliable, scalable data pipelines and tracking instrumentation are in place. Champion data hygiene and integrity.
- Improve Customer Retention
- Data Infrastructure & Governance
- Cross-Functional Influence - Serve as the strategic data science partner to leaders across Sales, Marketing, Product, and Finance to drive mid-market account growth and expansion.
Other
- M.S. or Ph.D. in a quantitative field (e.g., Statistics, Computer Science, Economics, Mathematics, Operations Research) or equivalent work experience
- 7+ years of experience in data science, with a proven record of applying advanced analytical methods to drive sales growth ideally in Saas or financial technology companies serving consumer or B2B segments
- Strong business acumen, excellent communication and storytelling skills with a track record of effectively simplifying the complex and delivering compelling narratives to stakeholders at all levels through data-driven insights
- Proven experience working with sales or go-to-market teams; deep understanding of customer retention, churn analysis, and sales optimization strategies
- Collaborating closely with sales, marketing, and product teams to drive measurable impact on revenue growth and customer success
