Data Scientist
Data Scientist
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1 Vacancy
Job Description
Data Scientist
Docusigns 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 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
youll 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 Docusigns 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
Employment Type
Full-time
