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

TikTok

Data Science Manager - TikTok Ads

Seattle, WA · On-site

$242K - $401K/yr

... manage high performance, responsive team of data scientists and analysts that are able to not only keep up with but also pioneer in this space 3. Build and prototype analysis pipelines for the team ...

iSpot

Manager, Client Data Science

Bellevue, WA · Remote

$136K - $168K/yr

As a key member of the Client Data Science team, you will be responsible for a variety of critical tasks, including: ● Managing, mentoring and growing three direct reports as well as fostering ...

Walmart

Director, Data Science

Bellevue, WA · On-site

$156K - $312K/yr

Strong understanding of data strategy, data quality, and data ecosystem management to drive ... Data science, machine learning, optimization models, PhD in Machine Learning, Computer Science ...

Walmart

Director, Data Science

Bellevue, WA

$156K - $312K/yr

Strong understanding of data strategy, data quality, and data ecosystem management to drive ... Data science, machine learning, optimization models, PhD in Machine Learning, Computer Science ...

Honor

Senior Manager, Data Science

Seattle, WA

We are looking for a Senior Manager, Data Science to lead a team applying advanced data science and AI to some of Honor's most important operational challenges. About the role You will lead the ...

MCG Health

Director, Data Science

Seattle, WA

$201K - $281K/yr

The Director, Data Science provides strategic and operational leadership for MCG's Data Science ... Partner closely with Product Management, Engineering, Clinical, and Infrastructure teams to ...

Porch.com, Inc.

Head of Data Science

Seattle, WA · On-site +1

Manage the data science budget, establish project timelines, and define KPIs and metrics to assess the impact and effectiveness of data science initiatives. * Dive into operational data to identify ...

Porch.com, Inc.

Head of Data Science

Seattle, WA · On-site +1

Manage the data science budget, establish project timelines, and define KPIs and metrics to assess the impact and effectiveness of data science initiatives. * Dive into operational data to identify ...

Meta

Data Science Director (IC)

Bellevue, WA

$253K/yr

Inspire and lead a team of data scientists and managers across multiple teams in close collaboration with other Data Science Directors and Managers Minimum Qualifications: * Bachelor's degree in ...

Adobe

Data Science Engineer

Seattle, WA · On-site

$130K - $156K/yr

This positionmaintainslots of exposure to cross functional organizations and access to senior management. Whatyou'lldo A Finance Data Scientist withinAdobe'sCreativity & ProductivityFP&A (Financial ...

Amazon

Sr Manager, Data Science & AI, R2L

Bellevue, WA · On-site

In this role, you will build and manage a high-performing team of Data Scientists and BI Engineers while owning the AI technical roadmap for R2L. You will be responsible for delivering data science ...

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

Data Science Manager information

See Redmond, WA salary details

$34.7K

$108.8K

$192.6K

How much do data science manager jobs pay per year?

As of Jul 29, 2026, the average yearly pay for data science manager 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 are the primary responsibilities of a Data Science Manager on a day-to-day basis?

As a Data Science Manager, your daily responsibilities typically include overseeing a team of data scientists and analysts, setting project priorities, and ensuring the timely delivery of data-driven solutions. You will often collaborate with cross-functional teams, such as engineering, product, and business stakeholders, to define problems, scope solutions, and communicate analytical insights. Your role also involves mentoring team members, reviewing code and analysis, and driving best practices in data science methodologies. This position requires balancing technical project oversight with team leadership and strategic business alignment.

What is a Data Science Manager job?

A Data Science Manager leads a team of data scientists to develop and implement data-driven solutions for business challenges. They oversee project timelines, ensure the quality of data analysis, and collaborate with cross-functional teams to drive decision-making. In addition to technical expertise, they require strong leadership, communication, and strategic thinking skills. Their role bridges the gap between data science initiatives and business objectives, ensuring the team's work aligns with company goals.

Is 40 too late for data science?

Age is not a barrier to becoming a data science manager; many professionals transition into data science roles later in their careers. Success depends on relevant skills, experience, and continuous learning in areas like programming, statistics, and machine learning. Employers value diverse backgrounds and practical expertise regardless of age.

What is the 80 20 rule in data science?

The 80/20 rule in data science suggests that roughly 80% of results come from 20% of the efforts or data. Data scientists often use this principle to focus on the most impactful features, models, or data subsets to improve efficiency and outcomes in projects.

What is the role of a data science manager?

A data science manager oversees data science teams, guiding project priorities, setting strategic goals, and ensuring the effective use of data analysis and modeling techniques. They coordinate between technical staff and business stakeholders, often requiring skills in leadership, communication, and familiarity with tools like Python, R, or SQL. Their responsibilities include managing workflows, mentoring team members, and ensuring project deliverables align with organizational objectives.

How much do data scientist managers make?

Data Science Managers typically earn between $110,000 and $160,000 annually, with salaries varying based on experience, location, and company size. They often oversee teams of data scientists, coordinate projects, and require strong skills in analytics tools and leadership. Senior roles or those in high-cost areas can offer higher compensation.

What are the key skills and qualifications needed to thrive in the Data Science Manager position, and why are they important?

To thrive as a Data Science Manager, you need strong analytical skills, experience in machine learning and data analytics, and a background in statistics or computer science, often supported by an advanced degree. Familiarity with tools like Python, R, SQL, cloud platforms, and experience managing data science projects are highly valued, and certifications such as Certified Analytics Professional (CAP) can be advantageous. Excellent leadership, project management, and communication skills are crucial for guiding teams and translating technical findings for stakeholders. These abilities ensure effective team performance, successful project delivery, and the alignment of data science initiatives with organizational goals.

What are the most commonly searched types of Data Science jobs in Redmond, WA? The most popular types of Data Science jobs in Redmond, WA are:
What job categories do people searching Data Science Manager jobs in Redmond, WA look for? The top searched job categories for Data Science Manager jobs in Redmond, WA are:
What cities near Redmond, WA are hiring for Data Science Manager jobs? Cities near Redmond, WA with the most Data Science Manager job openings:
Data Science Manager jobs near you
Infographic showing various Data Science Manager job openings in Redmond, WA as of July 2026, with employment types broken down into 1% As Needed, 83% Full Time, 11% Part Time, 1% Temporary, and 4% Contract. Highlights an 88% Physical, 3% Hybrid, and 9% Remote job distribution, with an average salary of $108,797 per year, or $52.3 per hour.
Manager of Data Science

Manager of Data Science

Providence Digital Innovation Group

Seattle, WA • Remote

Other

Posted 24 days ago

Job description

This is a remote role.  We would prefer that the successful candidate located in the Seattle area within the PST/MST time zones.

Providence is one of the largest not-for-profit health systems in the United States.

At Providence, we use our voice to advocate for vulnerable populations and health care reforms. We pursue innovative ways to transform health care by keeping people healthy, and making our services more convenient, accessible and affordable for all. In an increasingly uncertain world, we are committed to high-quality, compassionate health care for everyone-regardless of coverage or ability to pay. We help people and communities benefit from the best health care model for the future, today.

The Digital Innovation Group (DIG) at Providence is a small but mighty product development and incubation team.  We build next-gen tools that give patients convenient and easy access to health care anywhere, anytime.

DIG is both a healthcare startup and a technology/product incubator. Our team gathers market data on effective solutions in the health care space and then builds out a product line with the latest and greatest technology. When market maturity hits, DIG enables the product to spin out as its own company. It is a unique mix of venture capitalists, digital strategists, marketing acumen, product development and engineering all in one group nestled inside one of the largest health systems. We set the pace for other health care organizations around the country on how to conceive, engineer and launch effective health care solutions.

Recently funded DIG startups include DexCare and Praia Health. 

Success in this role means you can join future funded startups on the ground floor. 

Job Summary:
 
Are you an experienced Data Scientist who wants to lead a new analytics program focused on helping patients effectively navigate their care through a seamless digital experience? 
 
As a Data Science Manager, you will lead a team of data scientists in helping the Digital Innovation Group understand the patient's digital journey and how our products are impacting their health outcomes and the performance of our healthcare system.  
We need a talented data science leader to apply rigorous hypothesis testing, statistical modeling, machine learning, predictive analytics and working with LLMs to inform the acquisition, personalization and retention strategies for our products. Your team will be responsible for building churn, retention and LTV models for our Providence App as well as developing the next best action recommendation model personalizing content by patient cohorts. Your team's work will contribute directly to the success of growing, maintaining and improving health outcomes of our patients utilizing digital products developed by DIG. 
You will be expected to work with analytics and product leaders to understand their top priorities to set the strategic direction of your data science projects. You will be a player/coach on the team, helping define the team's roadmap, ways of working (process management) and provide technical guidance and oversight.  
The Data Science Manager will play a critical role in leading the data driven approach to incubation and commercialization of our product portfolio helping Providence innovate in healthcare technology affecting millions of patients' health outcomes.  
 
Required Qualifications:
  • Bachelor's Degree Data Science, Computer Science, Statistics, Economics, Mathematics Or equivalent educ/experience
  • 6 years of experience in data analysis, advanced statistical analysis, predictive analytics, with hands on experience in data mining, machine learning and predictive modeling. 
  • 4 years Leadership experience.
Preferred Qualifications:
  • Master's Degree Data Science, Computer Science, Statistics, Economics, Mathematics Or equivalent educ/experience
  • Coursework/Training Data science or project management     
  • 1 year Experience in the Healthcare field.
  • 1 year Experience in project management.
  • Certifications in data science, project management or related fields (e.g., Certified Analytics Professional (CAP), Certified Data Management Professional (CDMP), or specific vendor certifications like Microsoft Certified: Azure Data Scientist Associate.) 

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