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Data Scientist Jobs in Bothell, WA (NOW HIRING)

Sr. Data Scientist

Seattle, WA · On-site

$125 - $150/hr

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 ...

As a Principal Data Scientist , you will help transform how organizations use data, developing models, running experiments, and driving evidence-based decisions that have measurable business impact.

Senior Data Scientist

Seattle, WA · On-site

$150 - $200/hr

As a Data Scientist, you'll dig into the data to uncover insights, identify opportunities for product improvements and new product development, define product metrics with goals, design experiments ...

Data Scientist (Starlink)

Redmond, WA · On-site

$145K - $200K/yr

DATA SCIENTIST (STARLINK) At SpaceX, we're leveraging our experience in building rockets and spacecraft to deploy Starlink, the world's most advanced broadband internet system. Starlink is the world ...

About the role As part of our growing Data Science and Analytics team, you will play an instrumental role in our company's mission of building safe and beneficial artificial intelligence by driving ...

As a Data Scientist, you'll dig into the data to uncover insights, identify opportunities for product improvements and new product development, define product metrics with goals, design experiments ...

Our Growth and Data Science team spans both Microsoft's Developer Division and AI Foundry. We accelerate CoreAI's mission by delivering insights, reporting, models, and tools that guide product ...

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 and AI solutions that solve complex business challenges. You'll apply a deep technical foundation in ...

Data Scientist (Starlink)

Redmond, WA · On-site

$145K - $200K/yr

DATA SCIENTIST (STARLINK) At SpaceX, we're leveraging our experience in building rockets and spacecraft to deploy Starlink, the world's most advanced broadband internet system. Starlink is the world ...

The Fire TV, Advertising and Appstore Decision Science organization is looking for a Data Scientist who is passionate about using data to surface customer insights that will influence the development ...

You will design, develop, and operationalize data science solutions supporting Fire TV customer engagement and retention, lifecycle analytics, Ads monetization, experimentation, and AI-enabled ...

Data Scientist (Starlink)

Redmond, WA · On-site

$145K - $200K/yr

DATA SCIENTIST (STARLINK) At SpaceX, we're leveraging our experience in building rockets and spacecraft to deploy Starlink, the world's most advanced broadband internet system. Starlink is the world ...

The Fire TV, Advertising and Appstore Decision Science organization is looking for a Data Scientist who is passionate about using data to surface customer insights that will influence the development ...

We are seeking a hands-on highly skilled and experienced Distinguished Data Scientist to join our team. In this individual contributor role, you will report directly to the Sr. Director of ...

We are seeking a hands-on highly skilled and experienced Distinguished Data Scientist to join our team. In this individual contributor role, you will report directly to the Sr. Director of ...

Showing results 41-60

Data Scientist information

See Bothell, WA salary details

$41.9K

$137.2K

$219.7K

How much do data scientist jobs pay per year?

As of Sep 9, 2026, the average yearly pay for data scientist in Bothell, WA is $137,208.00, according to ZipRecruiter salary data. Most workers in this role earn between $110,100.00 and $152,000.00 per year, depending on experience, location, and employer.

What are the key skills and qualifications needed to thrive as a data scientist, and why are they important?

To thrive as a Data Scientist, you need a strong background in statistics, programming (often Python or R), and data analysis, typically supported by a degree in computer science, mathematics, or a related field. Familiarity with machine learning frameworks, data visualization tools, and big data platforms like TensorFlow, Tableau, and Hadoop, as well as certifications in data science, are highly valued. Excellent problem-solving skills, curiosity, and the ability to communicate complex findings clearly set outstanding data scientists apart. These skills and qualities are crucial for extracting actionable insights from data, driving business decisions, and collaborating effectively with stakeholders.

What do data scientists do?

Data scientists collect, confirm, and interpret data to determine useful information for their employer. They help organizations identify patterns and trends in their data to provide information about lucrative opportunities, necessary improvements, and potential innovations. The information data scientists get from the records they gather helps businesses make major decisions in critical areas, such as product development, sales and marketing techniques, and client retention. Data scientists are highly educated; the majority of them have at least a master's degrees, and many have doctorates. Data scientists are valuable members of organizations in many different industries, including pharmaceuticals, manufacturing, and banking.

What are some typical projects data scientists work on, and how do they collaborate with other teams?

Data Scientists often work on projects such as building predictive models, analyzing large datasets to uncover trends, and developing data-driven solutions to business problems. They regularly collaborate with cross-functional teams, including software engineers, data engineers, and business analysts, to ensure that their insights are actionable and aligned with business goals. Effective communication and teamwork are essential, as Data Scientists frequently need to present complex findings to non-technical stakeholders and incorporate feedback from various departments.

What is the difference between Data Scientist vs Data Analyst?

AspectData Scientist
Required CredentialsDegree in Computer Science, Statistics, or related field; often requires advanced degrees
Work EnvironmentResearch and development, predictive modeling, machine learning projects
Employer & Industry UsageTech companies, finance, healthcare, consulting firms
Common Search & ComparisonOften compared due to overlapping skills in data analysis and modeling

Data Scientists focus on building predictive models, advanced analytics, and machine learning, often requiring higher-level technical skills and education. Data Analysts primarily interpret existing data, generate reports, and support decision-making with descriptive analytics. While both roles analyze data, Data Scientists handle complex modeling and predictive tasks, whereas Data Analysts focus on data interpretation and reporting.

Is a data scientist job still in demand?

Yes, data scientist roles remain in high demand across various industries due to the increasing reliance on data-driven decision making. Skills in machine learning, statistical analysis, and programming languages like Python or R are highly valued, and employment opportunities continue to grow as organizations seek to leverage big data for competitive advantage.

What does a data scientist do exactly?

A data scientist analyzes large datasets to extract insights, build predictive models, and support decision-making. They use statistical techniques, programming languages like Python or R, and tools such as SQL and machine learning algorithms to interpret data and solve complex problems.

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 are popular job titles related to Data Scientist jobs in Bothell, WA?

For Data Scientist jobs in Bothell, WA, the most frequently searched job titles are:

What job categories do people searching Data Scientist jobs in Bothell, WA look for?

The top searched job categories for Data Scientist jobs in Bothell, WA are:

What cities near Bothell, WA are hiring for Data Scientist jobs?

Cities near Bothell, WA with the most Data Scientist job openings:

Infographic showing various Data Scientist job openings in Bothell, WA as of September 2026, with employment types broken down into 1% Internship, 1% As Needed, 79% Full Time, 10% Part Time, and 9% Contract. Highlights an 79% Physical, 2% Hybrid, and 19% Remote job distribution, with an average salary of $137,208 per year, or $66 per hour.

Sr. Data Scientist

Seattle, WA

Full-time

Medical, Dental, Vision, Retirement, PTO

Re-posted yesterday


Divisions Maintenance Group rating

6.5

Company rating: 6.5 out of 10

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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.


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