Data scientist jobs in Bothell, WA and nearby

Within 25 miles

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Added 29 days ago
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(USA) Distinguished, Data Scientist
Walmart
BELLEVUE, WA
- $156,000 to $338,000 USD / year
As a Distinguished Data Scientist at Walmart, you will lead the development and deployment of advanced analytical models and machine learning solutions to address complex business…
Added 29 days ago
W
(USA) Principal, Data Scientist
Walmart
BELLEVUE, WA
- $132,000 to $286,000 USD / year
As a Principal Data Scientist at Walmart, you will lead the development and deployment of advanced analytical models and machine learning solutions to address complex business challenges.…
Added 29 days ago
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Machine Learning Engineer II, Pricing
Uber
Seattle, WA
- $171,000 to $190,000 USD / year
Experience with large-scale data systems (e.g. Spark, Ray), real-time processing (e.g. Flink), and microservices architectures
Added 29 days ago
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Staff Machine Learning Engineer - Pricing
Uber
Seattle, WA
- $232,000 to $258,000 USD / year
Proficiency with large-scale data systems (e.g. Spark, Ray), real-time processing (e.g. Flink), and microservices architectures
Added 29 days ago
W
Distinguished, Data Scientist
Walmart
BELLEVUE, WA
- $156,000 to $312,000 USD / year
s a Distinguished Data Scientist in the Marketplace data sciences team, you'll have the opportunity to:
Added 29 days ago
Data Architect
McGuireWoods LLP
Seattle, WA
McGuireWoods LLP is seeking a Data Architect to join our IT team. The Data Architect is responsible for the design and technical architecture of the Firm’s Data Lakehouse environment and…
Added 29 days ago
W
Distinguished, Data Scientist
Walmart
BELLEVUE, WA
- $156,000 to $312,000 USD / year
As a Distinguished Data Scientist in the Marketplace data sciences team, you'll have the opportunity to:
Added 29 days ago
W
Staff, Data Scientist
Walmart
BELLEVUE, WA
- $132,000 to $264,000 USD / year
A Staff data scientist would be expected to play an important role in developing and scaling data science solutions in order to achieve outstanding business outcomes for Marketplace.
Added 29 days ago
W
(USA) Principal, Data Scientist
Walmart
BELLEVUE, WA
- $132,000 to $286,000 USD / year
…company to develop scalable, robust technical solutions. The data scientist role will be part of the data science team and will play a key role working along with others within the…
Added 29 days ago
W
Principal Data Scientist: Associate AI experience
Walmart
BELLEVUE, WA
- $110,000 to $286,000 USD / year
We are seeking a Principal Data Scientist to provide technical leadership and long‑term vision for next‑generation AI systems and platforms. This senior individual contributor will drive…
Added 29 days ago
W
Distinguished Data Scientist: Associate AI Experience
Walmart
BELLEVUE, WA
- $130,000 to $338,000 USD / year
We are seeking a Distinguished Data Scientist to provide technical leadership and long‑term vision for next‑generation AI systems and platforms. This senior individual contributor will…
Added 29 days ago
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Senior, Data Scientist
Vizio
SEATTLE, WA
- $108,000 to $216,000 USD / year
As a Senior Data Scientist at Walmart, you will leverage advanced analytical techniques and programming expertise to develop, validate, and deploy scalable data models that drive strategic…
Added 1 month ago
Machine Learning Engineer
Adidev Technologies Inc
Seattle, WA
…delivering top-notch, Machine Learning Engineer, iOS and Android, data scientist, Developer solutions to industry giants including Delta, Google, Apple, Spotify, US Bank, FedEx, and more.…
Added 1 month ago
Supply Chain Optimization Data Scientist Manager
Deloitte US
Seattle, WA
Added 1 month ago
Senior Staff Machine Learning Engineer
Government Employees Insurance Company
Seattle, WA
Cross-functional collaboration: Collaborate with cross-functional teams, including data scientists, ML engineers, software engineers, product managers, designers to gather requirements,…
Added 1 month ago
SQL BI Data Scientist (Local to Seattle)
TecTammina
Redmond, WA
Handling big data experience is necessary using Cosmos
Added 1 month ago
Data Scientist
TecTammina
Redmond, WA
Good to have - Data exploratory skills including Pareto chart, histogram, summary statistics, percentiles, box and whisker plot, dot plot, pie chart, line graph
Added 1 month ago
SQL BI Data Scientist (Local to Seattle)
TecTammina
Redmond, WA
Handling big data experience is necessary using Cosmos
Added 1 month ago
Data Scientist
TecTammina
Redmond, WA
Good to have - Data exploratory skills including Pareto chart, histogram, summary statistics, percentiles, box and whisker plot, dot plot, pie chart, line graph
Added 1 month ago
T
SQL BI Data Scientist (Full TIme)
TecTammina
Redmond, WA
- Full-time
Handling big data experience is necessary using Cosmos
Added 1 month ago
T
Data Scientist (Full Time)
TecTammina
Redmond, WA
- Full-time
Good to have - Data exploratory skills including Pareto chart, histogram, summary
Added 1 month ago
T
Data Scientist(Full Time)
TecTammina
Redmond, WA
- Full-time
Good to have - Data exploratory skills including Pareto chart, histogram, summary
Added 1 month ago
U
Data Architect
Urgenci
Seattle, WA
- $160 USD / hour
- Data Architect – will work 50/50ish on the Workday project on helping to create simple/supportable integrations and on our data platform work on doing the same for a larger DW project.
Added 1 month ago
AC
Assistant Vice President, Health Analytics Data Scientist
Aon Corporation
Seattle, WA
- $160,000 to $190,000 USD / year
Aon is looking for an Assistant Vice President, Health Analytics Data Scientist
Added 1 month ago
NL
Data Scientist - Full Time Only
Next Level Business Services, Inc.
Redmond, WA
- Full-time
Industry experience in Data analytics/BI, Data modeling and visualization, Optimization and statistics.

Docusign

Sr. Machine Learning Engineer

Seattle, WA, United States

Washington, Maryland, New Jersey and New York (including NYC metro area): $178,900.00 - $262,825.00 base salary

Apply on hubcareers-docusign.icims.com About employer

Applications open in a new tab.

Job details

Pay: Washington, Maryland, New Jersey and New York (including NYC metro area): $178,900.00 - $262,825.00 base salary
Apply by: Oct 7, 2027
Experience: Bachelor’s degree or equivalent experience and 8+ years of related industry experience
Posting language: English
Posted: Oct 7, 2026

Original job description

Company Overview

Docusign brings agreements to life. More than 1.8 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 the Docusign AI-native IAM 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 do

As a Senior Machine Learning Engineer, you will advance machine learning capabilities that help detect and prevent abuse and fraud across Docusign products and services. Your work will support earlier identification of harmful behavior and risk-based interventions. You will partner with Trust & Safety, Fraud, Engineering, Product, Security, and Data teams to improve detection as abuse patterns evolve.

This position is an individual contributor role reporting to the Director of Trust & Safety.

Responsibility

Design, develop, evaluate, and deploy production ML models for fraud, spam, abuse, and other Trust & Safety risks
Build risk and reputation scoring capabilities using behavioral, account, network, device, content, and other relevant signals
Translate detection problems into ML requirements, including labels, features, evaluation methods, and success criteria
Identify emerging abuse patterns and determine where ML, rules, or combined approaches improve detection
Develop model outputs that support flagging, throttling, verification, review, or blocking
Evaluate detection performance, false-positive and false-negative tradeoffs, and downstream risk impact
Establish model monitoring, retraining, and degradation detection practices
Partner with Trust & Safety and Fraud experts on adversary behavior and enforcement impact, and with Engineering, Data, Product, and Security on data and production integration
Establish technical direction and foundational ML practices for Trust & Safety and Fraud

Job Designation

Hybrid: 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 bring

Basic

Bachelor’s degree or equivalent experience and 8+ years of related industry experience
Experience developing, deploying, operating, and measuring production machine learning models, including supervised and unsupervised learning, classification, risk prediction, anomaly or behavioral detection, and model evaluation
Experience applying ML to fraud detection, spam or abuse detection, cybersecurity, Trust & Safety, anti-abuse, risk, or another adversarial domain
Experience solving detection problems with incomplete or evolving signals, labels, requirements, or abuse patterns, including changing attacker behavior, class imbalance, noisy labels, model degradation, and false-positive and false-negative tradeoffs
Experience with C#, Java, or Go, and ML frameworks, data processing, feature engineering, automation, and reproducible experimentation, training, and validation
Experience building data and feature pipelines using large-scale behavioral, event, or transactional datasets, including streaming or high-volume event processing
Experience deploying and serving ML models in distributed systems, integrating outputs into production applications or decisioning systems, and balancing system design, scalability, reliability, latency, throughput, and model performance
Experience with MLOps across the model lifecycle, including deployment, monitoring, retraining, versioning, degradation detection, and model health, and deploying ML workloads using Docker and Kubernetes
Experience with observability technologies such as Prometheus, Grafana, OpenTelemetry, or Jaeger, and Azure and Azure DevOps or equivalent
Experience defining model success criteria, measuring detection or risk improvements, communicating ML tradeoffs, and collaborating with Product, Engineering, Data, Operations, and domain experts

Preferred

Experience building ML systems for spam detection, messaging abuse, account abuse, payment fraud, account takeover, identity risk, reputation scoring, or platform integrity
Experience developing account, entity, or behavioral risk-scoring models that combine multiple signals
Experience detecting attackers who adapt to controls and integrating ML outputs into automated prevention, enforcement, or risk-based decisioning workflows
Experience incorporating analyst decisions, investigations, or enforcement outcomes into model development
Experience improving heuristic detection systems through ML or hybrid rules-and-ML approaches
Experience establishing or scaling ML capabilities within a fraud, security, or Trust & Safety organization

Wage Transparency

Pay 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:

Washington, Maryland, New Jersey and New York (including NYC metro area): $178,900.00 - $262,825.00 base salary

This 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).

Global benefits 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 events

Work Authorization Notice: Please note that we do not provide visa sponsorship or immigration support for this position. Applicants must already be authorized to work in the United States on a full-time, permanent basis without the need for current or future sponsorship.

Life at DocuSign

Working here

Docusign 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.

Accommodation

Docusign 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 accommodations@docusign.com.

If you experience any issues, concerns, or technical difficulties during the application process please get in touch with our Talent organization at taops@docusign.com for assistance.

Applicant and Candidate Privacy Notice

States Not Eligible for Employment

This position is not eligible for employment in the following states: Alaska, Hawaii, Maine, Mississippi, North Dakota, South Dakota, Vermont, West Virginia and Wyoming.

EEO Statement

It'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.

EEO Know Your Rights poster

Apply on hubcareers-docusign.icims.com About employer

More about this job

Skills

Machine learning
ML
Fraud detection
Cybersecurity
C#
Oracle Java
Go
Process data
Docker
Kubernetes
Prometheus
Grafana
Microsoft Azure
DevOps
Sales
Sales targets

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Data scientist jobs in Bothell, WA and nearby