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

Docusign's Product Data Science team is looking for a Data Scientist to support the development of key data products and capabilities to enable data-driven product development and decision making. In this role, you would be part of the Product Data Science team and work directly in partnership with a variety of stakeholders including but not limited to Product, Engineering and User Experience partners to support and empower them with data-driven actionable insights. You will be embedded in specific product spaces requiring you to establish and grow relationships. As a Data Scientist, you'll dig into the data to uncover insights, identify opportunities for product improvements and new product development, define product metrics with goals, design experiments and develop data science models to drive customer experience, engagement, and adoption of Docusign's products. If you are an experienced data scientist passionate about data-driven product development and building products and capabilities that enable a culture of "test and learn," then this could be a great role for you.

 

This position is an individual contributor role reporting to the Vice President, Operations & Analysis.

 

Responsibility

• Collaborate with cross-functional teams to research, build and improve data analysis to identify opportunities for product improvements, new product features, product utilization, and improve customer experience, engagement, and retention

• Be the subject matter expert for driving the product data strategy for the areas you support

• Partner closely with the product managers, user researchers, engineers, and leadership to capture and prioritize potential insights, analysis, and data product opportunities that will drive maximum business impact

• Specify and help implement product telemetry, define key performance indicators with goals, and own and manage regular reports to create insights around product usage and success

• Partner with Global Data Analytics team to automate data pipelines to snowflake from different source systems

• Design and build automated dashboards that connect data from internal and external data sources, with visualizations and tools that allow business users to self-serve on their website data needs

• Partner with Product teams to design, administer, and analyze the results of A/B and multivariate tests and other ML models

• 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

• BA/BS degree in a quantitative field (e.g., Statistics, Math, CS, Economics or Finance) or equivalent work experience

• 5+ years of demonstrated experience with business analytics or product analytics in a data science or analytics role in a SaaS/Cloud industry

• Experience pulling data from external sources, joining data from disparate data systems and distilling large data sets into actionable insights that drive business value

• Experience with SQL for data analysis and data validation

• Experience with data visualization tools such as Tableau, Power BI, Hex or similar (experience = design,