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Weekend Data Science Jobs in Kent, WA (NOW HIRING)

PACCAR Inc

Data Scientist

Renton, WA · On-site

$104.10 - $146.63/hr

Master's in Data Science, Mathematics/Statistics, Computer Science, or related field preferred. * 5+ years of experience as a Data Analyst or Associate Data Scientist required; previous Data Science ...

Chewy

Senior Data Scientist

Bellevue, WA

$109K - $190K/yr

Bachelor's degree in Data Science, Computer Science, Statistics, Engineering, Applied Mathematics, or a related technical field. * 3+ years of experience as a Data Scientist, Machine Learning ...

PeopleConnect

Audience Data Scientist

Bellevue, WA · On-site

$122K - $153K/yr

Responsibilities Identify audience opportunities through data science * Translate business goals (e.g., re-engagement, conversion lift, efficiency gains) into clear, testable audience hypotheses

New

PeopleConnect

Audience Data Scientist

Bellevue, WA · On-site

$122K - $153K/yr

Responsibilities Identify audience opportunities through data science * Translate business goals (e.g., re-engagement, conversion lift, efficiency gains) into clear, testable audience hypotheses

New

Walmart

Distinguished, Data Scientist

Bellevue, WA · On-site

Deploy andmaintainthe data science solutions * Communicate recommendations to business partners and influencefuture plansbased on insights PositionResponsibility * Consult with product/business ...

Walmart

Principal, Data Scientist

Bellevue, WA · On-site

$132K - $264K/yr

Mentor and guide junior team members in achieving data science outcomes and handle multiple products and initiatives. * Follow industry best practices, stay up to date with and extend the ...

Walmart

Distinguished, Data Scientist

Bellevue, WA · On-site

Deploy andmaintainthe data science solutions * Communicate recommendations to business partners and influencefuture plansbased on insights PositionResponsibility * Consult with product/business ...

Walmart

Distinguished, Data Scientist

Bellevue, WA · On-site

$156K - $312K/yr

Work closely with Directors, Sr. Managers of Data Science, and leaders of Architecture, Engineering, Product & business teams to drive the Organizational strategy around Marketplace. * Direct the ...

Walmart

Distinguished, Data Scientist

Bellevue, WA · On-site

$156K - $312K/yr

Work closely with Directors, Sr. Managers of Data Science, and leaders of Architecture, Engineering, Product & business teams to drive the Organizational strategy around Marketplace. * Direct the ...

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Showing results 41-60

All JobsData Science JobsWeekend Data Science JobsWeekend Data Science Jobs in Kent, WA

Weekend Data Science information

See Kent, WA salary details

$42.3K

$138.6K

$221.8K

How much do weekend data science jobs pay per year?

As of Aug 9, 2026, the average yearly pay for weekend data science in Kent, WA is $138,558.00, according to ZipRecruiter salary data. Most workers in this role earn between $111,200.00 and $153,500.00 per year, depending on experience, location, and employer.

Do weekend data scientists work on weekends?

Weekend data scientists may work on weekends if their projects or deadlines require it, but many roles follow a standard weekday schedule. Flexibility depends on the employer, project needs, and whether the position involves on-call or urgent tasks. Typically, data science roles are performed during regular business hours, but some positions may require weekend work for data collection, analysis, or reporting.

What skills and qualifications are needed to thrive as a weekend data scientist?

To thrive as a Weekend Data Scientist, you need strong analytical skills, proficiency in statistics, and expertise in programming languages such as Python or R, often supported by a degree in a quantitative field. Familiarity with data analysis tools like SQL, machine learning libraries (e.g., scikit-learn, TensorFlow), and data visualization platforms (e.g., Tableau) is typically required. Excellent time management, problem-solving ability, and effective communication are crucial soft skills for delivering insights on tight weekend deadlines. These skills ensure that data-driven decisions can be made efficiently and accurately, even within limited time frames.

What is a weekend data science?

A Weekend Data Science job typically refers to a part-time or contract-based data science position where the primary work hours are on weekends. These roles are ideal for students, professionals seeking extra income, or those looking to gain experience in the data science field without committing to a full-time weekday schedule. Weekend data scientists analyze data, build models, and generate insights just like full-time data scientists but with flexible or reduced hours that fit around a weekend schedule.

What challenges do data scientists working on weekends face, and how can they be managed?

Data scientists working weekend shifts often encounter challenges such as limited access to colleagues for collaboration or support, since many team members may not be available outside standard business hours. Additionally, urgent issues or data anomalies may require quick, independent problem-solving. Proactive communication with weekday teams, thorough documentation, and setting up clear protocols for handoffs can help manage these challenges and ensure smooth workflow continuity.

What is the difference between Weekend Data Science vs Part-Time Data Analyst?

AspectWeekend Data SciencePart-Time Data Analyst
CredentialsTypically requires a degree in data science, statistics, or related fieldOften requires a degree or relevant experience in data analysis or related fields
Work EnvironmentProject-based, flexible hours, often remote or on-site during weekendsFlexible hours, may be remote or on-site, often with less technical complexity
Industry UsageUsed in tech, finance, healthcare, and startups for specialized projectsCommon in retail, marketing, and small businesses for routine data tasks

Weekend Data Science roles focus on complex data projects requiring advanced skills, often during weekends, while Part-Time Data Analysts handle routine data tasks with less technical depth, offering flexible schedules. Both roles serve different needs but share a focus on data work outside standard hours.

What are the most commonly searched types of Data Science jobs in Kent, WA? The most popular types of Data Science jobs in Kent, WA are:
What are popular job titles related to Weekend Data Science jobs in Kent, WA? For Weekend Data Science jobs in Kent, WA, the most frequently searched job titles are:
What job categories do people searching Weekend Data Science jobs in Kent, WA look for? The top searched job categories for Weekend Data Science jobs in Kent, WA are:
What cities near Kent, WA are hiring for Weekend Data Science jobs? Cities near Kent, WA with the most Weekend Data Science job openings:
Weekend Data Science jobs near you

Sr. Data Scientist

Divisions Maintenance Group

Seattle, WA • On-site

Full-time

Medical, Dental, Vision, Retirement, PTO

Re-posted 10 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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