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Senior Data Scientist Jobs in Renton, WA (NOW HIRING)

We are hiring a Senior Data Scientist to help drive high-impact engineering projects with our customers and their partners, transforming their missions using AI and other cloud-based solutions and ...

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 ...

We are seeking a Senior Data Scientist to contribute to high-impact machine learning initiatives that improve automation, recovery outcomes, and client experience at global scale. This is a Senior ...

We are seeking a Senior Data Scientist to contribute to high-impact machine learning initiatives that improve automation, recovery outcomes, and client experience at global scale. This is a Senior ...

Senior, Data Scientist

Lynnwood, WA · On-site

$108K - $216K/yr

As a Senior Data Scientist at Walmart, you will leverage advanced analytical techniques and programming expertise to develop, validate, and deploy scalable data models that drive strategic business ...

Senior, Data Scientist

Federal Way, WA · On-site

$108K - $216K/yr

As a Senior Data Scientist at Walmart, you will leverage advanced analytical techniques and programming expertise to develop, validate, and deploy scalable data models that drive strategic business ...

Senior, Data Scientist

Seattle, WA · On-site

$108K - $216K/yr

As a Senior Data Scientist at Walmart, you will leverage advanced analytical techniques and programming expertise to develop, validate, and deploy scalable data models that drive strategic business ...

Senior, Data Scientist

Kirkland, WA · On-site

$108K - $216K/yr

As a Senior Data Scientist at Walmart, you will leverage advanced analytical techniques and programming expertise to develop, validate, and deploy scalable data models that drive strategic business ...

Senior, Data Scientist

Kent, WA · On-site

$108K - $216K/yr

As a Senior Data Scientist at Walmart, you will leverage advanced analytical techniques and programming expertise to develop, validate, and deploy scalable data models that drive strategic business ...

Senior, Data Scientist

Burien, WA · On-site

$108K - $216K/yr

As a Senior Data Scientist at Walmart, you will leverage advanced analytical techniques and programming expertise to develop, validate, and deploy scalable data models that drive strategic business ...

Senior, Data Scientist

Bothell, WA · On-site

$108K - $216K/yr

As a Senior Data Scientist at Walmart, you will leverage advanced analytical techniques and programming expertise to develop, validate, and deploy scalable data models that drive strategic business ...

Senior, Data Scientist

Seattle, WA · On-site

$108K - $216K/yr

As a Senior Data Scientist at Walmart, you will leverage advanced analytical techniques and programming expertise to develop, validate, and deploy scalable data models that drive strategic business ...

As a Senior Data Scientist at Walmart, you will leverage advanced analytical techniques and programming expertise to develop, validate, and deploy scalable data models that drive strategic business ...

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Senior Data Scientist information

See Renton, WA salary details

$46.7K

$160.2K

$226.1K

How much do senior data scientist jobs pay per year?

As of Jul 25, 2026, the average yearly pay for senior data scientist in Renton, WA is $160,243.00, according to ZipRecruiter salary data. Most workers in this role earn between $133,300.00 and $187,300.00 per year, depending on experience, location, and employer.

What are some of the main challenges Senior Data Scientists face when leading cross-functional projects?

Senior Data Scientists often encounter challenges such as aligning project goals across diverse teams, managing expectations of non-technical stakeholders, and ensuring data quality and accessibility. Balancing long-term research initiatives with immediate business needs can also be demanding. Effective communication, project management skills, and the ability to translate complex findings into actionable insights are essential for overcoming these hurdles and driving successful outcomes.

Is 40 too late for data science?

Age is not a barrier to becoming a senior data scientist; many professionals transition into data science later in their careers. Success depends on acquiring relevant skills such as programming, statistics, and machine learning, often through online courses or certifications, regardless of age.

What is the 80 20 rule in data science?

In data science, the 80/20 rule, also known as the Pareto principle, suggests that roughly 80% of results come from 20% of the efforts or features. Data scientists often use this concept to focus on the most impactful variables or tasks to optimize model performance and efficiency.

What are the key skills and qualifications needed to thrive as a Senior Data Scientist, and why are they important?

To thrive as a Senior Data Scientist, you need advanced expertise in statistics, machine learning, data analysis, and programming, typically supported by a degree in a quantitative field and several years of experience. Familiarity with tools like Python, R, SQL, cloud platforms, and machine learning frameworks, as well as relevant certifications such as AWS Certified Machine Learning or TensorFlow Developer, is highly valuable. Strong problem-solving abilities, communication skills, and leadership qualities help in translating data insights into actionable business strategies and mentoring junior team members. These skills and qualities are crucial for driving impactful data-driven decisions and fostering innovation within organizations.

What does a senior data scientist make?

A senior data scientist typically earns between $100,000 and $150,000 annually, depending on experience, location, and industry. They often have advanced skills in machine learning, statistical analysis, and programming languages like Python or R, and may also receive bonuses or stock options.

What does a Senior Data Scientist do?

A Senior Data Scientist leads advanced analytical projects, utilizing statistical modeling, machine learning, and data mining techniques to extract insights from large datasets. They collaborate with cross-functional teams to identify business opportunities, design predictive models, and communicate findings to stakeholders. In addition to technical expertise, they often mentor junior data scientists, help define data strategies, and ensure best practices in data analysis and model deployment.

What is the highest paid job in data science?

The highest paid roles in data science are often senior positions such as Lead Data Scientist, Chief Data Officer, or Data Science Director, with salaries exceeding $150,000 annually. These roles typically require extensive experience, advanced skills in machine learning and big data tools, and often involve strategic decision-making responsibilities.

What is the difference between Senior Data Scientist vs Data Analyst?

AspectSenior Data ScientistData Analyst
Required CredentialsMaster's or PhD in Data Science, Statistics, or related fieldBachelor's degree in related field, often with certifications
Work EnvironmentAdvanced analytics, modeling, and machine learning projectsData reporting, visualization, and basic analysis
Employer & Industry UsageTech, finance, healthcare, and large enterprisesRetail, marketing, small to medium businesses

While both roles involve working with data, Senior Data Scientists focus on complex modeling and predictive analytics, whereas Data Analysts primarily handle data reporting and visualization. The Senior Data Scientist role requires advanced technical skills and higher education, making it suitable for more complex projects in larger organizations.

What Is a Senior Data Scientist?

A senior data scientist does complex data analysis. Job duties include gathering data and writing reports that can help people make decisions. In some cases, they may offer machine learning which is a way to help computers process and understand data. A senior data scientist may also be asked to formulate an algorithm to solve work problems. You need statistics and programming knowledge to be successful in this career.

More about Senior Data Scientist jobs
What are the most commonly searched types of Data Scientist jobs in Renton, WA? The most popular types of Data Scientist jobs in Renton, WA are:
What are popular job titles related to Senior Data Scientist jobs in Renton, WA? For Senior Data Scientist jobs in Renton, WA, the most frequently searched job titles are:
What job categories do people searching Senior Data Scientist jobs in Renton, WA look for? The top searched job categories for Senior Data Scientist jobs in Renton, WA are:
What cities near Renton, WA are hiring for Senior Data Scientist jobs? Cities near Renton, WA with the most Senior Data Scientist job openings:
Infographic showing various Senior Data Scientist job openings in Renton, 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 $160,243 per year, or $77 per hour.
Sr. Data Scientist

Full-time

Posted 16 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

122nd of 218 rated facilities management


Job description

Job Summary:
Divisions Maintenance Group is a provider of facility maintenance services, focused on leveraging technology to improve their offerings. They are seeking a Senior Data Scientist to build and scale their data science practice, working closely with stakeholders to develop analytics solutions and communicate insights effectively.
Responsibilities:
• 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.
Qualifications:
Required:
• 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.
Company:
Divisions Maintenance Group provides integrated facilities management services that specialize in integrating systems, teams. Founded in 1999, the company is headquartered in Cincinnati, USA, with a team of 1001-5000 employees. The company is currently Late Stage.

What Divisions Maintenance Group employees say

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Hours and flexibility

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