Senior Data Scientist - Experimentation

About the position

Docusign is seeking a critical contributor to develop and implement effective machine learning solutions across the company. This role involves working closely with the leadership team to articulate value delivery, improve internal productivity, and drive revenue growth. The position is an individual contributor role reporting to the Director of Data Science.

Responsibilities

• Develop potential new methodologies using DL/ ML/LLM and Agentic Framework models to predict user behavior and improve automation
• Apply different genAI techniques to derive actionable insights
• Collaborate with the leadership team across Sales, Marketing, and Customer Success to define and execute the post-sales strategy, including market segmentation, target account selection, and go-to-market approaches
• Conduct in-depth analysis of customer success data, market trends, and customer insights to identify improvements and value-driving activities
• Partner with product teams to design, administer, and analyze the results of A/B and multivariate tests
• Leverage data to develop actionable analytical insights and present findings to senior management
• Evangelize models, frameworks, analysis, and insights with stakeholders and business partners
• Act with a sense of urgency and purpose, identify and resolve roadblocks, and reach out to cross-functional team members to solicit input and/or assist when appropriate

Requirements

• Bachelor or Master's degree in Computer Science, Physics, Mathematics, Statistics, or related field
• 8+ years hands-on experience in building data science applications and machine learning pipelines
• Experience with Python for research and software development purposes
• Knowledge of common machine learning, deep learning, and statistics frameworks and concepts including Large Language Models
• Experience with large data sets, distributed computing, and cloud computing platforms
• Experience with relational databases (e.g., SQL)
• Ability to break down technical concepts into simple terms for diverse audiences
• Experience in training and deploying machine learning models in production environments
• Proven track record in taking a ML project from 0 to 1 to 10
• Experience using machine learning and deep learning algorithms like CatBoost, XGBoost, LGBM, Feed Forward Networks for classification, regression, clustering problems
• Experience in programming languages like Python, SQL, R, etc.
• Experience across the SAAS domain as a Data Scientist

Nice-to-haves

• PhD in Statistics, Computer Science or Engineering with specialization in machine learning, AI or Statistics
• 8+ years of prior industry experience
• Experience of applying data science techniques to customer success organizations
• Experience in building experimentation and machine learning platforms
• Experience with or knowledge of the software development lifecycle/agile methodology
• Experience with or knowledge of Github, JIRA/Confluence

Benefits

• Paid Time Off: earned time off, as well as paid company holidays based on region
• Paid Parental Leave: take up to six months off with your child after birth, adoption or foster care placement
• Full Health Benefits Plans: options for 100% employer paid and minimum employee contribution health plans from day one of employment
• Retirement Plans: select retirement and pension programs with potential for employer contributions
• Learning and Development: options for coaching, online courses, and education reimbursements
• Compassionate Care Leave: paid time off following the loss of a loved one and other life-changing events