Lead Growth Data Scientist

DocuSign, Inc.; India; On-site; INR 2,500,000 - 4,000,000; Full time

Job summary

DocuSign, Inc. is looking for an experienced Lead Data Scientist to spearhead the transition to self-serve growth strategies. You will set analytics roadmaps, implement experiments, and provide insights directly to senior leadership. The ideal candidate has over 12 years in data science, strong expertise in A/B testing frameworks, and proficiency in SQL and Python or R. The role is hybrid, requiring at least two in-office days weekly, balancing remote and in-office work effectively.

Qualifications

• 12+ years of experience in Analytics, Data Science, or related roles preferably in a SaaS environment.
• Deep expertise with experimentation frameworks and strategic analysis.
• Prior experience managing or mentoring data scientists.

Responsibilities

• Set the analytics strategy and roadmap for Self‑Serve‑Led Growth segments.
• Design, implement, and analyze experiments for product and marketing decisions.
• Identify growth opportunities and risks using forecasting.

Skills

SQL proficiency

Python or R

Data visualization tools (Tableau, Looker)

Experimentation frameworks (A/B testing)

Strategic analysis

Education

MBA, MS, or PhD in a quantitative discipline

Tools

Tableau

Looker

Job description

What you'll do

Docusign is looking for a strategic, execution‑minded Lead Data Scientist to be the powerhouse behind the transformation from sales‑led to self‑serve‑led growth. Partnering with a cross‑functional squad, you will expand the self‑serve engine to reach and grow customers through a seamless omni‑channel experience. You will lead strategic analyses and hands‑on experimentation to discover, validate, and scale new ways to drive acquisition, expansion, and retention. In this high‑impact position, you will deliver compelling insights to pave the way for a frictionless customer journey while leading, mentoring, and growing two data scientists. The ideal candidate combines best‑in‑class analytical skills with a strong strategic mindset and a proven record of turning data into business impact.

This position is an individual contributor role reporting to the Director, Growth Data Science.

Responsibilities

• Set the analytics strategy and roadmap for the Self‑Serve‑Led Growth segments, aligning with company‑wide growth objectives and steering high‑impact initiatives
• Design, implement, and analyze experiments (A/B tests, causal inference) that inform product, marketing, and GTM decisions and quantify business impact
• Proactively identify growth opportunities and risks, using forecasting and scenario modeling to guide resource allocation and prioritization
• Translate complex analyses into clear, data‑backed recommendations for senior leadership, influencing strategic direction across Growth, Product, Marketing, Sales, and Customer Success
• Lead, mentor and grow two data scientists, setting a high bar for analytical rigor and business impact
• Provide regular reporting on key metrics to executive leadership, highlighting successes, identifying risks, and recommending proactive solutions
• Apply advanced analytical techniques (predictive modeling, customer segmentation, LTV analysis) to understand customer behavior, forecast outcomes, and inform strategic initiatives

Job Designation

Hybrid: Employee divides their time between in‑office and remote work. Access to an office location is required. (Frequency: Minimum 2 days per week; may vary by team but will be weekly in‑office expectation)

Positions at Docusign are assigned a job designation of either In Office, Hybrid or Remote and are specific to the role/job. Preferred job designations are not guaranteed when changing positions within Docusign. Docusign reserves the right to change a position's job designation depending on business needs and as permitted by local law.

What you bring

Basic

• 12+ years of experience in Analytics, Data Science, or related roles – ideally spanning growth analytics, strategic/consulting analytics, or sales‑operations analytics in a SaaS environment
• Deep expertise with experimentation frameworks (A/B testing, causal inference) and strategic analysis
• Advanced proficiency in SQL plus Python or R, and strong command of visualization tools such as Tableau, Looker, or equivalent
• Prior experience managing or formally mentoring other data scientists

Preferred

• Prior partnership with Growth Product Management, Marketing, or GTM leadership, influencing strategy through data‑driven insights
• Experience operating in hybrid self‑serve / sales‑assisted SaaS business models
• MBA, MS, or PhD in a quantitative discipline (e.g., Statistics, Computer Science, Economics)
• Demonstrated ability to distill complex analytical findings into concise, actionable recommendations for executive audiences
• Proven ability to independently identify growth opportunities and strategically influence cross‑functional teams
• Excellent communication and presentation skills with the ability to present complex data analysis, insights, and recommendations to senior leadership