SENIOR GENAI DATA SCIENTIST

DocuSign; Seattle (WA); Hybrid; USD 129,000 - 191,000; Full time

Job summary

A leading company in e-signature and contract lifecycle management seeks a Data Scientist to develop machine learning solutions. The role involves collaborating across departments, analyzing data, and enhancing automation. Ideal candidates will have extensive experience in ML and Python, with a strong educational background in relevant fields.

Benefits

Bonuses

Stock options

Comprehensive benefits

PTO

Parental leave

Health plans

Retirement

Learning opportunities

Qualifications

• 8+ years experience in building data science applications and ML pipelines.
• Experience deploying ML models in production.
• Proven track record of progressing ML projects from inception to deployment.

Responsibilities

• Develop methodologies using DL / ML / LLM to predict user behavior.
• Collaborate with leadership to define and execute post-sales strategies.
• Analyze customer success data and market trends.

Skills

Python

Machine Learning

Deep Learning

Statistics

Communication

Education

Bachelors or Masters degree in Computer Science

PhD in Statistics, CS, or Engineering

Tools

SQL

GitHub

JIRA

Confluence

Job description

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 peoples lives. With intelligent agreement management, DocuSign unleashes business-critical data trapped inside documents, which were previously disconnected from business systems of record, costing businesses time, money, and opportunity. Using DocuSigns 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 youll 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, and drive revenue growth.

This position reports to the Director, Data Science.

Responsibilities

• Develop new methodologies using DL / ML / LLM and Agentic Framework models to predict user behavior and enhance automation.
• Apply various genAI techniques to derive actionable insights.
• Collaborate with leadership across Sales, Marketing, and Customer Success to define and execute post-sales strategies, including market segmentation, target account selection, and go-to-market approaches.
• Analyze customer success data, market trends, and customer insights to identify improvements and value-driving activities.
• Partner with product teams to design, execute, and analyze A / B and multivariate tests.
• Leverage data to develop actionable insights and present findings to senior management.
• Promote models, frameworks, analysis, and insights with stakeholders and business partners.
• Act with urgency and purpose, identify and resolve roadblocks, and collaborate with cross-functional teams for input and assistance.

Job Designation

Hybrid : Employees split their time between in-office and remote work, with a minimum of 2 days per week in-office, depending on team requirements.

Positions are designated as In Office, Hybrid, or Remote, and are specific to the role. Designations may change based on business needs and local laws.

What you bring

Basic Qualifications

• Bachelors or Masters degree in Computer Science, Physics, Mathematics, Statistics, or related field.
• 8+ years experience in building data science applications and ML pipelines.
• Proficiency in Python for research and software development.
• Knowledge of ML, deep learning, and statistics frameworks, including Large Language Models.
• Experience with large datasets, distributed, and cloud computing platforms.
• Experience with relational databases (e.g., SQL).
• Ability to communicate technical concepts clearly to diverse audiences.
• Experience deploying ML models in production.
• Proven track record of progressing ML projects from inception to deployment.
• Experience with algorithms like CatBoost, XGBoost, LGBM, and neural networks for classification, regression, and clustering.
• Programming experience in Python, SQL, R, etc.
• Experience in the SaaS domain as a Data Scientist.

Preferred Qualifications

• PhD in Statistics, CS, or Engineering with specialization in ML, AI, or Statistics.
• 8+ years of industry experience.
• Experience applying data science to customer success organizations.
• Experience building experimentation and ML platforms.
• Knowledge of software development lifecycle and agile methodologies.
• Familiarity with Github, JIRA, Confluence.

Wage Transparency

Salary varies based on location, skills, and experience. For example :

• Washington, New Jersey, NY : $129,000 - $190,550

Additional compensation includes bonuses, stock options, and comprehensive benefits such as PTO, parental leave, health plans, retirement, learning opportunities, and more.

Life at DocuSign

Working here

We are committed to building a diverse and inclusive environment where everyone can succeed. We value honesty, respect, and integrity, and strive to make a positive impact in our communities. Join us and contribute to making the world more agreeable.

Accommodation

We provide reasonable accommodations for applicants with disabilities or religious needs. Contact [emailprotected] for assistance.

We respect your privacy and handle your data responsibly.

States Not Eligible for Employment

This role is not available in Alaska, Hawaii, Maine, Mississippi, North Dakota, South Dakota, Vermont, West Virginia, and Wyoming.

Equal Opportunity Employer

We celebrate diversity and are committed to creating an inclusive environment for all employees. We do not discriminate based on race, ethnicity, gender, age, religion, or other protected categories.

EEO Know Your Rights poster

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