Job Description

Data Scientist

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. 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.”

Responsibilities:

• 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

Basic:

• BA/BS degree in a quantitative field (e.g., Statistics, Math, CS, Economics or Finance) or equivalent work experience
• 7+ years of demonstrated experience with business analytics or product analytics in a data science or analytics role in a SaaS/Cloud industry
• Hands-on experience with 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, or similar (experience = design, create data feeds and execute on usable dashboard to address required business questions)
• Experience with statistics and rigorous analytical techniques
• Hands-on experience solving real business problems using data and analytics
• Experience communicating data and technical work to non-technical stakeholders
• Experience working with Product Engineering and other technical teams to implement the product telemetry requirements
• Knowledge and experience of agile/scrum product development

Preferred:

• Strong communication and leadership skills, especially the ability to collaborate cross-functionally and lead through influence across functional and organizational lines
• Ability to present data in a visual format and explain the insights clearly and concisely
• Experience with A/B testing, cohort analysis, user segmentation, and other core product analytics methodologies
• Experience designing and refining machine learning models
• Experience with Python or R
• Familiarity with data engineering processes

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