Data Scientist

DocuSign • Seattle, WA

392d • $91,200 - $132,900 • Remote

About The Position

Docusign is seeking a Data Scientist to join its Product Data Science team. This role focuses on supporting the development of key data products and capabilities that enable data-driven product development and decision-making. The Data Scientist will collaborate with various stakeholders, including Product, Engineering, and User Experience teams, to provide actionable insights and drive improvements in customer experience and product engagement.

Requirements

• BA/BS degree in a quantitative field (e.g., Statistics, Math, CS, Economics or Finance) or equivalent work experience.
• 2+ 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 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.
• Experience with agile/scrum product development.

Nice To Haves

• 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.
• Highly motivated, organized, self-starter who thrives in a fast-paced environment.

Responsibilities

• Collaborate with cross-functional teams to research, build and improve data analysis to find 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.
• Partner closely with product managers, user researchers, engineers, and leadership to gather 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 run 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, contact cross-functional team members to solicit input and/or assist when appropriate.

Benefits

• Paid parental leave
• Paid holidays
• Health insurance
• Paid time off
• Compassionate care leave
• Full health benefits options
• Retirement plans
• Learning and development opportunities

What This Job Offers

• Job Type: Full-time
• Career Level: Mid Level
• Industry: Computing Infrastructure Providers, Data Processing, Web Hosting, and Related Services
• Education Level: Bachelor's degree