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Data Science Manager Remote Jobs in Redmond, WA (NOW HIRING)

Stripe

Senior Data Scientist

Seattle, WA · On-site +1

$192K - $288K/yr

Communicate findings broadly and interact with other teams including product managers, software ... Data Science or a related occupation. Must have three (3) years in each of the following:

Danaher

IT Project Manager - Remote

Seattle, WA · On-site +1

$120K - $160K/yr

Are you ready to accelerate your potential and make a real difference within life sciences ... The IT Project Manager is responsible for delivering key technical business initiatives and will ...

micro1 AI

Digital Chemistry Specialist - Remote

Kent, WA · Remote

$90 - $120/hr

Contractor Location: Remote micro1 is engaging Bioinformatics Scientists to contribute their ... data interpretation within medicinal chemistry. * Assess AI-generated outputs for scientific ...

Cisco

Strategic Program Manager (Remote)

Seattle, WA · On-site +1

$173K - $231K/yr

This position is fully remote and can be performed from any location within the United States. The ... At Cisco, we're revolutionizing how data and infrastructure connect and protect organizations in ...

New

micro1 AI

AI Training Specialist - Life Sciences

Kent, WA · Remote

$90 - $120/hr

Proven track record of contributing to research projects at the intersection of biology, chemistry, and data science. * Experience collaborating in multidisciplinary or remote project environments is ...

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All JobsData Science JobsData Science Manager Remote JobsData Science Manager Remote Jobs in Redmond, WA

Data Science Manager Remote information

See Redmond, WA salary details

$34.7K

$108.8K

$192.6K

How much do data science manager remote jobs pay per year?

As of Aug 11, 2026, the average yearly pay for data science manager remote in Redmond, WA is $108,797.00, according to ZipRecruiter salary data. Most workers in this role earn between $73,900.00 and $140,600.00 per year, depending on experience, location, and employer.

What does a data science manager do?

A remote Data Science Manager oversees a team of data scientists, analysts, and engineers, ensuring that data-driven projects are successfully executed from a remote location. Their responsibilities include managing project timelines, providing technical guidance, mentoring team members, and aligning data initiatives with business goals. They also coordinate with other departments to implement data solutions, ensure data quality, and communicate results to stakeholders. Working remotely, they use digital tools to collaborate, monitor progress, and maintain team productivity.

What are the key skills and qualifications needed to thrive as a data science manager?

To thrive as a Data Science Manager in a remote setting, you need a robust background in statistics, programming (e.g., Python, R), machine learning, and a related degree, often supplemented by experience leading data teams. Familiarity with data analytics tools like SQL, cloud platforms (AWS, Azure), and project management software is typically required, along with certifications such as Certified Data Scientist or PMP. Strong leadership, communication, and collaboration skills are essential for managing distributed teams and aligning projects with business goals. These skills ensure effective project delivery, foster innovation, and maintain team cohesion in a virtual work environment.

How does a data science manager typically collaborate with cross-functional teams?

As a remote Data Science Manager, effective collaboration with cross-functional teams—such as engineering, product, and business stakeholders—relies heavily on clear communication and efficient use of digital tools. Regular virtual meetings, project management platforms, and shared documentation are essential to align on objectives, share progress, and troubleshoot challenges. Building trust and fostering a culture of transparency helps ensure that remote data science teams stay connected and engaged with broader organizational goals, despite not sharing a physical workspace.

What is the difference between Data Science Manager Remote vs Data Analyst Remote?

AspectData Science Manager RemoteData Analyst Remote
Required CredentialsBachelor's/Master's in Data Science, Statistics, or related field; experience with machine learning and leadershipBachelor's in Data Analysis, Statistics, or related field; proficiency in data visualization and SQL
Work EnvironmentLeads data science teams, manages projects, and develops models remotelyAnalyzes data, prepares reports, and supports decision-making remotely
Employer & Industry UsageTech companies, finance, healthcare, and e-commerceMarketing agencies, retail, finance, and consulting firms

The main difference is that Data Science Managers oversee data science teams and projects, requiring leadership skills and advanced technical knowledge, while Data Analysts focus on analyzing data and generating reports. Both roles can be remote and are in high demand across various industries.

What job categories do people searching Data Science Manager Remote jobs in Redmond, WA look for? The top searched job categories for Data Science Manager Remote jobs in Redmond, WA are:
Data Science Manager Remote jobs near you

Senior Data Scientist

Stripe

Seattle, WA • On-site, Remote

$192K - $288K/yr

Full-time

Medical, Dental, Vision, Retirement

Posted 11 days ago

Job description

Who we areAbout Stripe

Stripe, LLC. is a financial infrastructure platform for businesses. Millions of companies - from the world's largest enterprises to the most ambitious startups - use Stripe to accept payments, grow their revenue, and accelerate new business opportunities. Our mission is to increase the GDP of the internet, and we have a staggering amount of work ahead. That means you have an unprecedented opportunity to put the global economy within everyone's reach while doing the most important work of your career.

What you'll doResponsibilities
  • Build statistical models, define and analyze product and operational metrics, explore experimental design, and construct exploratory analysis with internal data. 
  • Work closely with product and business teams to identify important questions and answer them with data. 
  • Collaborate with other data scientists, engineers and operations to formulate innovative solutions to experiment and implement advanced data mining techniques. 
  • Conduct exploratory analysis on internal data to understand user behavior to inform product development. 
  • Drive the collection of new data and the refinement of existing data sources. 
  • Apply statistical and machine learning models on large datasets to measure results and outcomes, and identify causal impact and attribution. 
  • Predict future performance of users or products. 
  • Define, measure, and monitor key outcome metrics for teams and support Stripe's business. 
  • Communicate complex concepts and the results of metrics and analyses in a clear and effective manner through creative visualization. 
  • Communicate findings broadly and interact with other teams including product managers, software engineers, marketing, and business development.
Who you areMinimum requirements

Must have a Master's degree or foreign equivalent in Operations Research, Statistics, Industrial Engineering, Business Analytics, Mathematics or a related field, plus three (3) years of experience in Data Science or a related occupation.

Must have three (3) years in each of the following:

  • Statistical and machine learning methods;
  • Numerical optimization & integer programming;
  • SQL;
  • Python;
  • Optimization; and
  • Forecasting and machine learning domain.

Salary: $192,000.00 - $288,000.00/yr 

This salary range represents the base salary range for the role and any sales commissions/sales bonuses targets, if applicable, would be in addition to the base salary.

40 hrs/week

50% Telecommuting Permitted.

Up to 10% domestic travel required.

Multiple Positions Available. 

Additional benefits for this role may include: equity, company bonus or sales commissions/bonuses; 401(k) plan; medical, dental, and vision benefits; and wellness stipends. WA34

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