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.
? Highly motivated, organized, self-starter who thrives in a fast-paced environment
? A strong individual contributor who partners well with internal teams

Required Skills : Data Science

Basic Qualification :

Additional Skills :

Background Check : No

Drug Screen : No

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