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Top Remote Data Science Jobs in Seattle, WA

243+ Job Results
17 Days Ago
US
Remote
303 Employees
120K-140K Annually
Senior level
303 Employees
120K-140K Annually
Senior level
Biotech
The Senior Field Application Scientist will manage customer application needs for genomic analysis, train customers on new processes, provide troubleshooting support, develop workflows, and represent the company at customer sites and scientific conferences.
17 Days Ago
USA
Remote
52 Employees
150K-205K Annually
Mid level
52 Employees
150K-205K Annually
Mid level
Cryptocurrency • Design
As a Senior Data Scientist at Phantom, you'll empower teams with data-driven insights, develop metrics to measure product impact, and work collaboratively with various stakeholders to influence product decisions. Your role will focus on analyzing large data sets, experiment design, and supporting the growth of the crypto wallet product.
18 Days Ago
4 Locations
Remote
900 Employees
180K-222K Annually
Senior level
900 Employees
180K-222K Annually
Senior level
Software
As a Data Scientist at Airtable, you will partner with product teams to drive insights and identify business opportunities, manage experiments, build a data culture, and communicate findings through storytelling and visualizations.
Top Benefits:
401-K
Commuter Benefits
Company Outings
+13 More
18 Days Ago
United States
Remote
39 Employees
110K-140K Annually
Entry level
39 Employees
110K-140K Annually
Entry level
Software
Research and develop color perception algorithms and computer vision for camera and AR applications, work on imaging technology for camera capture and augmented reality experiences, collaborate with cross-functional teams, and provide leadership for new project development.
18 Days Ago
USA
Remote
59 Employees
Junior
59 Employees
Junior
Energy
As a Data Scientist with EverBright, you will develop machine learning models, analyze data quality, and optimize VPP dispatch. You will also work with distributed computing platforms and contribute code to product development teams.
18 Days Ago
USA
Remote
123 Employees
121K-169K Annually
Senior level
123 Employees
121K-169K Annually
Senior level
Fintech • Payments • Software • Financial Services
The Lead Credit Analyst will conduct trend and portfolio analysis, optimize underwriting and credit decision-making, and collaborate with Analytics and Data Science teams. This role involves mentoring team members and promoting a data-driven culture.
Top Benefits:
401-K
Commuter Benefits
Company Equity
+19 More
18 Days Ago
3 Locations
Remote
85 Employees
100K-120K Annually
Junior
85 Employees
100K-120K Annually
Junior
Software
The Revenue Operations Analyst at Rinsed will maintain regular reporting on revenue metrics, analyze data to create dashboards, oversee CRM administration, streamline the deal process, collaborate cross-functionally, and develop training on new system processes. The role requires strong organizational and analytical skills, alongside experience in relevant revenue tools.
Top Benefits:
401-K
401-K Matching
Adoption Assistance
+48 More
18 Days Ago
US
Remote
1,487 Employees
68K-164K Annually
Junior
1,487 Employees
68K-164K Annually
Junior
eCommerce
As a Data Scientist, you will create models for predicting order clearances and optimize pricing through experimentation. Your role involves developing data pipelines, automation, and deploying machine learning services with tools like Python and SQL.
Top Benefits:
401-K
Company Outings
Dental Insurance
+13 More
19 Days Ago
United States
Remote
70 Employees
70 Employees
Not Specified
Software
Seeking a Head of Data Science at Competera to lead the ML strategy, collaborate with stakeholders, mentor DS/ML teams, and drive innovation. Must have experience in a scale-up company, retail industry, and Python stack for ML. Desired skills include experience in Causal Inference, Probabilistic Programming, XAI development, and cloud architecture.
19 Days Ago
USA
Remote
203 Employees
Senior level
203 Employees
Senior level
Big Data • Information Technology
The Sr. Data Scientist will manage projects involving clinical data analysis, develop algorithms for real-world data insights, and collaborate with various teams to drive advancements in cancer care. Responsibilities include data wrangling, pipeline engineering, and supporting product development.
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