Senior Data Scientist - Experimentation
Company: DocuSign, Inc.
Location: Seattle
Posted on: April 1, 2025
Job Description:
Company OverviewDocusign 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 doYou will play a critical
role in developing and implementing effective machine learning
solutions across the company. You will work closely with the
leadership team to articulate value-delivery, improve internal
productivity as well as revenue growth.This position is an
individual contributor role reporting to the Director, Data
Science.Responsibility
- Develop potential new methodologies using DL/ ML/LLM and
Agentic Framework models to predict users behaviour and improve
automation
- Apply different genAI technique to derive actionable
insights
- Collaborate with the leadership team across Sales, Marketing
and Customer Success to define and execute the post-sales strategy,
including market segmentation, target account selection, and
go-to-market approaches
- Conduct in-depth analysis of customer success data, market
trends, and customer insights to identify improvements and
value-driving activities
- Partner with product teams to design, administer, and analyze
the results of A/B and multivariate tests
- 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 appropriateJob DesignationHybrid: 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 bringBasic
- Bachelor or Master's degree in Computer Science, Physics,
Mathematics, Statistics, or related field
- 8+ years hands-on experience in building data science
applications and machine learning pipelines
- Experience with Python both for research and software
development purposes
- Knowledge of common machine learning, deep learning and
statistics frameworks and concepts including Large Language
Models
- Experience with large data sets, distributed computing and
cloud computing platforms
- Experience with relational databases (e.g., SQL)
- Ability to break down technical concepts into simple terms to
present to diverse, technical, and non-technical audiences
- Experience in training and deploying machine learning models in
production environments
- Proven track records in taking a ML project from 0 to 1 to
10.
- Experience using machine learning and deep learning algorithms
like CatBoost, XGBoost, LGBM, Feed Forward Networks for
classification, regression, clustering problems
- Experience in programming Languages like Python, SQL, R
etc.
- Experience across the SAAS domain as a Data ScientistPreferred
- PhD in Statistics, Computer Science or Engineering with
specialization in machine learning, AI or Statistics
- 8+ years of prior industry experience
- Experience of applying data science techniques to customer
success organizations
- Experience in building experimentation and machine learning
platform
- Experience with or knowledge of the software development
lifecycle/agile methodology
- Experience with or knowledge of Github, JIRA/ConfluenceWage
TransparencyPay for this position is based on a number of factors
including geographic location and may vary depending on job-related
knowledge, skills, and experience.Based on applicable legislation,
the below details pay ranges in the following locations:California:
$134,900.00 - $216,975.00 base salaryWashington, New Jersey and New
York (including NYC metro area): $129,000.00 - $190,550.00 base
salaryThis role is also eligible for the following:
- Bonus: Sales personnel are eligible for variable incentive pay
dependent on their achievement of pre-established sales goals.
Non-Sales roles are eligible for a company bonus plan, which is
calculated as a percentage of eligible wages and dependent on
company performance.
- Stock: This role is eligible to receive Restricted Stock Units
(RSUs). provide options for the following:
- Paid Time Off: earned time off, as well as paid company
holidays based on region
- Paid Parental Leave: take up to six months off with your child
after birth, adoption or foster care placement
- Full Health Benefits Plans: options for 100% employer paid and
minimum employee contribution health plans from day one of
employment
- Retirement Plans: select retirement and pension programs with
potential for employer contributions
- Learning and Development: options for coaching, online courses
and education reimbursements
- Compassionate Care Leave: paid time off following the loss of a
loved one and other life-changing eventsLife at DocusignWorking
hereDocusign is committed to building trust and making the world
more agreeable for our employees, customers and the communities in
which we live and work. You can count on us to listen, be honest,
and try our best to do what's right, every day. At Docusign,
everything is equal.We each have a responsibility to ensure every
team member has an equal opportunity to succeed, to be heard, to
exchange ideas openly, to build lasting relationships, and to do
the work of their life. Best of all, you will be able to feel deep
pride in the work you do, because your contribution helps us make
the world better than we found it. And for that, you'll be loved by
us, our customers, and the world in which we
live.AccommodationDocusign is committed to providing reasonable
accommodations for qualified individuals with disabilities in our
job application procedures. If you need such an accommodation, or a
religious accommodation, during the application process, please
contact us at .If you experience any issues, concerns, or technical
difficulties during the application process please get in touch
with our Talent organization at for assistance.States Not Eligible
for EmploymentThis position is not eligible for employment in the
following states: Alaska, Hawaii, Maine, Mississippi, North Dakota,
South Dakota, Vermont, West Virginia and Wyoming.Equal Opportunity
EmployerIt's important to us that we build a talented team that is
as diverse as our customers and where all employees feel a deep
sense of belonging and thrive. We encourage great talent who bring
a range of perspectives to apply for our open positions. Docusign
is an Equal Opportunity Employer and makes hiring decisions based
on experience, skill, aptitude and a can-do approach. We will not
discriminate based on race, ethnicity, color, age, sex, religion,
national origin, ancestry, pregnancy, sexual orientation, gender
identity, gender expression, genetic information, physical or
mental disability, registered domestic partner status, caregiver
status, marital status, veteran or military status, or any other
legally protected category.
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Keywords: DocuSign, Inc., Seattle , Senior Data Scientist - Experimentation, Other , Seattle, Washington
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