Data Scientist
Role Summary
We are seeking a Data Scientist to work closely with the Go-To-Market (GTM) Finance team to support data-driven decisions across sales, marketing, and revenue operations. This role focuses on modeling, forecasting, and insight generation to improve revenue growth, investment efficiency, and planning accuracy.
Key Responsibilities
- Partner with GTM Finance, Sales, Marketing, and RevOps to analyze pipeline, bookings, and revenue performance.
- Build and maintain forecasting models across pipeline, bookings, recurring revenue, churn, and overall revenue.
- Perform segmentation and cohort analysis to identify trends in customer acquisition, expansion, and retention.
- Develop ROI and unit economics models to evaluate sales and marketing investments.
- Create scalable dashboards and reporting to track core SaaS KPIs such as CAC, LTV, conversion rates, and sales productivity.
- Apply statistical and machine learning techniques to improve forecasts and uncover growth opportunities.
- Translate analytical outputs into clear, actionable insights for finance leaders and executives.
- Support annual planning, budgeting, and long-range planning with data-backed recommendations.
- Partner with data engineering to ensure reliable, accessible, and high-quality data.
Qualifications
- Bachelor's degree in a quantitative field such as Data Science, Statistics, Economics, or Computer Science; advanced degree preferred.
- 3-7+ years of experience in data science, analytics, or quantitative roles.
- Experience supporting finance, sales, or go-to-market teams strongly preferred.
- Strong SQL and Python (or R) skills.
- Experience with data visualization tools such as Tableau, Looker, or Power BI.
- Solid understanding of statistical modeling, experimentation, and forecasting.
- Familiarity with SaaS metrics including ARR, MRR, churn, CAC, and LTV.
- Experience working with large datasets in cloud data platforms (e.g., Snowflake, BigQuery).
NICE TO HAVES
- Experience with revenue forecasting or financial planning models.
- Knowledge of sales pipeline dynamics and CRM systems such as Salesforce.
- Exposure to marketing attribution or growth analytics.
- Strong business judgment and ability to influence non-technical stakeholders.
About Korn Ferry
Korn Ferry unleashes potential in people, teams, and organizations. We work with our clients to design optimal organization structures, roles, and responsibilities. We help them hire the right people and advise them on how to reward and motivate their workforce while developing professionals as they navigate and advance their careers. To learn more, please visit Korn Ferry at www.Kornferry.com
