Senior GenAI Data Scientist

Company Overview

Docusign brings agreements to life. Over 1.5 million customers and more than a billion people in over 180 countries use Docusign solutions to accelerate the process of doing business and simplify people’s lives. With intelligent agreement management, Docusign unleashes business-critical data that is trapped inside of documents. Until now, these were disconnected from business systems of record, costing businesses time, money, and opportunity. Using Docusign’s Intelligent Agreement Management platform, companies can create, commit, and manage agreements with solutions created by the #1 company in e-signature and contract lifecycle management (CLM).

What you'll do

You will play a critical role in developing and implementing effective machine learning solutions across the company. You will work closely with the leadership team to articulate value-delivery, improve internal productivity as well as revenue growth.

 

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

 

Responsibility

• Develop potential new methodologies using DL/ ML/LLM and Agentic Framework models to predict users behaviour and improve automation

• Apply different genAI technique 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, reach out to cross-functional team members to solicit input and/or assist when appropriate

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

• 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 both 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 to present to diverse, technical, and non-technical audiences 
• Experience in training and deploying machine learning models in production environments 
• Proven track records 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

Preferred

• 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 platform
• Experience with or knowledge of the software development lifecycle/agile methodology
• Experience with or knowledge of Github, JIRA/Confluence

Wage Transparency

Pay for this position is based on a number of factors including geographic location and may vary depending on job-related knowledge, skills, and experience.

 

Based on applicable legislation, the below details pay ranges in the following locations: