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**:
This positionis an individual contributor role reporting to the Senior Manager, Data Science.

**Responsibility**
- Experiment with, apply, and implement DL/ML models, with a strong emphasis on Large Language Models (LLMs), Agentic Frameworks, and other Generative AI techniques to predict user behavior, enhance product features, and improve automation
- Utilize and adapt various GenAI techniques (e.g., prompt engineering, RAG, fine-tuning existing models) to derive actionable insights, generate content, or create novel user experiences
- Collaborate with product, engineering, and other teams (e.g., Sales, Marketing, Customer Success) to build Agentic system to run campaigns at-scale
- Conduct in-depth analysis of customer data, market trends, and user insights to inform the development and improvement of GenAI-powered solutions
- Partner with product teams to design, administer, and analyze the results of A/B and multivariate tests, particularly for GenAI-driven features
- Leverage data to develop actionable analytical insights & present findings, including the performance and potential of GenAI models, to stakeholders and team members
- Communicate models, frameworks (especially those related to GenAI), analysis, and insights effectively with stakeholders and business partners
- Complete assignments with a sense of urgency and purpose, identify and help resolve roadblocks, and collaborate with cross-functional team members on GenAI 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**
- Bachelor's or Master's degree in Computer Science, Physics, Mathematics, Statistics, or a related field
- Experience with Python for research and software development purposes, including common GenAI libraries and frameworks
- Experience with or exposure to prompt engineering, and utilizing pre-trained LLMs (e.g., via APIs or open-source models)
- Experience with large datasets, distributed computing, and cloud computing platforms (e.g., AWS, Azure, GCP)
- Proficiency with relational databases (e.g., SQL)
- Experience in training, evaluating, and deploying machine learning models in production environments, with an interest in MLOps for GenAI
- Proven track record in contributing to ML/GenAI projects from ideation through to deployment and iteration
- Experience using machine learning and deep learning algorithms like CatBoost, XGBoost, LGBM, Feed Forward Networks for classification, regression, and clustering problems, and an understanding of how these can complement GenAI solutions
- Experience as a Data Scientist, ideally in the SaaS domain with some focus on AI-driven product features

**Preferred**
- PhD in Statistics, Computer Science, or Engineering with specialization in machine learning, AI, or Statistics, with research or projects in Generative AI
- Hands-on experience with fine-tuning LLMs or working with RAG methodologies
- Experience with or knowledge of experimentation platforms (like DataRobot) and other AI related ones (like CrewAI)
- Experience with or knowledge of the software development lifecycle/agile methodology, particularly in AI product development
- Experience with or knowledge of Github, JIRA/Confluence
- Contributions to open-source GenAI projects or a portfolio of GenAI related work
- Programming Languages like Python, SQL; familiarity with R
- Ability to break down complex technical concepts (including GenAI) into simple terms to present to diverse, technical, and non-technical audiences

**Life At Docusign**:
**Working here**

Docusign is committed to building trust and making the world more agreeable for our employees, customers and the communities in which we live and work. You can count on us to listen, be honest, and try our best to do what’s right, ev