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Manager Data Scientist Jobs in Bothell, WA (NOW HIRING)

Data Scientist II Our Opportunity We are seeking a hands-on and highly motivated Data Scientist II ... Partner with cross-functional teams including product managers, engineers, business analysts, and ...

A principal data scientist would be expected to play a lead technical role in architecting data ... Strong ability to understand the business and good stakeholder management capabilitiesandhas ...

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 ...

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 ...

Sr. Data Scientist

Bellevue, WA · On-site

$140K - $180K/yr

As a Senior Data Scientist, you will lead the design and development of advanced machine learning ... Strong stakeholder management skills and the ability to thrive in a high-paced, constantly evolving ...

... managing data pipelines - Master's degree in a quantitative field such as statistics, mathematics, data science, business analytics, economics, finance, engineering, or computer science - 3+ years of ...

Data Scientists are responsible for driving insights and informing decision making to enhance the ... Your expertise in building, deploying and managing models in production is an essential part of ...

Data Scientists are responsible for driving insights and informing decision making to enhance the ... Your expertise in building, deploying and managing models in production is an essential part of ...

Data Scientists are responsible for driving insights and informing decision making to enhance the ... Your expertise in building, deploying and managing models in production is an essential part of ...

Showing results 41-60

Manager Data Scientist information

See Bothell, WA salary details

$51.4K

$184.5K

$272.2K

How much do manager data scientist jobs pay per year?

As of Aug 9, 2026, the average yearly pay for manager data scientist in Bothell, WA is $184,472.00, according to ZipRecruiter salary data. Most workers in this role earn between $149,200.00 and $190,000.00 per year, depending on experience, location, and employer.

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

To thrive as a Manager Data Scientist, you need expertise in statistical analysis, machine learning, data modeling, and a relevant degree such as in computer science, mathematics, or statistics. Familiarity with tools like Python, R, SQL, cloud platforms (e.g., AWS, Azure), and experience with data visualization software and project management methodologies are commonly required. Strong leadership, effective communication, and the ability to mentor and guide teams are vital soft skills in this role. These competencies ensure successful project delivery, drive data-driven business decisions, and foster a productive, innovative team environment.

What is the difference between Manager Data Scientist vs Data Scientist?

AspectManager Data ScientistData Scientist
Required CredentialsBachelor's or Master's in Data Science, Statistics, or related field; leadership experienceBachelor's or Master's in Data Science, Statistics, or related field
Work EnvironmentLeads teams, manages projects, collaborates with stakeholdersAnalyzes data, develops models, reports findings
Employer & Industry UsageUsed in organizations with data teams, tech, finance, healthcareFound across industries, entry to mid-level roles

The main difference is that a Manager Data Scientist oversees data teams and projects, focusing on leadership and strategic planning, while a Data Scientist primarily conducts data analysis and model development. The manager role involves more coordination, mentorship, and stakeholder communication, whereas the data scientist role emphasizes technical skills and hands-on analysis.

How does a manager data scientist typically collaborate with cross-functional teams to drive business outcomes?

As a Manager Data Scientist, you will work closely with teams such as engineering, product management, and business stakeholders to ensure data-driven solutions align with company goals. This collaboration often involves translating complex analytical findings into actionable insights, setting project priorities, and managing expectations. You will also facilitate communication between data scientists and non-technical teams to foster understanding and ensure successful project delivery. Building strong relationships and promoting a culture of data-driven decision-making are essential aspects of the role.

What is a manager data scientist?

Manager Data Scientists are professionals who oversee data science teams and projects within an organization. They combine advanced analytical skills with leadership abilities to guide data scientists, set project priorities, and ensure data-driven strategies align with business goals. In addition to technical expertise in data modeling, machine learning, and analytics, they are responsible for mentoring team members, managing resources, and communicating insights to stakeholders. Their role bridges the gap between technical execution and strategic decision-making.
What are the most commonly searched types of Data Scientist jobs in Bothell, WA? The most popular types of Data Scientist jobs in Bothell, WA are:
What cities near Bothell, WA are hiring for Manager Data Scientist jobs? Cities near Bothell, WA with the most Manager Data Scientist job openings:
Infographic showing various Manager Data Scientist job openings in Bothell, WA as of July 2026, with employment types broken down into 81% Full Time, 17% Part Time, and 2% Contract. Highlights an 82% Physical, 3% Hybrid, and 15% Remote job distribution, with an average salary of $184,472 per year, or $88.7 per hour.

Full-time

Medical, Dental, Vision, Retirement, PTO

Re-posted 9 days ago


Divisions Maintenance Group rating

6.5

Company rating: 6.5 out of 10

Based on 6 frontline employees who took The Breakroom Quiz

151st of 251 rated facilities management


Job description

Title:Sr. Data Scientist

Reports To:Director of Engineering

Department:Product & Engineering

Location:Cincinnati, OH or Seattle, WA

Position Status:Salary Exempt

About DMG:

Divisions Maintenance Group provides facility maintenance services to retail chains and distribution and fulfillment centers across the country.

We are leading the way with our technology, creating world-class products that are revolutionizing the industry and fulfilling our brand promise of "Uninterrupted Peace of Mind."

DMG is a Certified Great Place to Work with a strong, inclusive culture and top-notch benefits.

Job Summary:

We are currently building out a Marketplace Health and Pricing teams and as part of it building a Data Science practice, with the goal of better leveraging advanced analytic solutions. We believe analytics will be a game-changer in the industries we operate in, and we are seeking a Data Scientist to help build and scale our data science and software engineering capabilities. At the outset, you will work on scaled and unique matching and pricing opportunities.

We are a fast-paced, entrepreneurial team - this role will work across many different stakeholders to understand their needs and design solutions suitable for use across the industries we operate in. The ideal candidate will bring demonstrated experience in structured problem solving, model building and tuning, building production level analytics products, data collection & cleansing, analytics execution, and communication of meaningful insights to diverse audiences of varying seniority and familiarity with analytic concepts. We have a fully cloud native stack built primarily on AWS.

What You'll Do:

  • Partnering with stakeholders to translate complex business problems into data science and advanced analytics solutions.
  • Write production level code for robust analytics products.
  • Collaborate with data and software engineers to support data science solutions through the entire product lifecycle, including data wrangling, exploratory analysis, hypothesis testing, modeling, rapid prototyping, business validation and testing, and deployment.
  • Leverage a diverse set of large and unstructured data to derive meaningful insights and information sets.
  • Apply a variety of advanced analytical techniques including predictive modeling, machine learning, time series analysis, simulation, and optimization.
  • Clearly and concisely synthesize and communicate findings to make thoughtful recommendations by combining business savvy with analytic rigor to technical and non-technical audiences.
  • Maintain expertise and awareness of emerging data science techniques, technologies, and potential business applications for AI/ML.
  • What You Need:

  • Master's degree in an analytical field such as Data Science, Computer Science, Applied Mathematics, Operations Research or Economics. 3 additional years of related experience may be substituted in lieu of a degree.
  • 8+ years of relevant data science or software engineering experience developing and deploying production models and writing production code for analytics products.
  • Experience working with a variety of statistical and modeling techniques including hypothesis testing, supervised learning (classification and regression), forecasting, unsupervised clustering, and optimization.
  • Experience with Python and SQL including building python packages.
  • Experience gathering, interpreting, and translating business requirements into analytical solutions.
  • Demonstrated ability to communicate complex analytical concepts and results at multiple levels to technical and non-technical audiences.
  • Experience with code version control platforms like GitHub, GitLab, or Azure DevOps
  • Experience working with data science and analytics teams to develop complex analytics products that have been successfully delivered to customers
  • Experience with large-scale data wrangling using databases or Spark
  • Knowledge of software engineering best practices for full software development life cycle, including coding standards, code reviews, source control management, continuous deployments, and testing
  • Experience working with docker containers
  • Experience working with APIs
  • Experience working with a UI or web framework.
  • Ability to manage the stress of a fast-paced environment.
  • Ability to meet the in-person requirements of the team and/or business needs.
  • What You'll Get:

    At DMG, you'll be part of an amazing team that encourages learning, growth, and advancement. Our company has an entrepreneurial spirit that rewards self-starters and encourages employees to take charge of their own careers.

    Some of our many benefits include:

  • Health, dental and vision coverage on day 1.
  • Dollar-for-dollar 401K match up to 4% of salary with immediate 100% vesting.
  • Paid Primary and Secondary Caregiver leave.
  • Employee Assistance Program to assist with everyday challenges.
  • Paid time off to volunteer.
  • Divisions Maintenance Group is an equal opportunity employer.

    Employment Type: Full-Time

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