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Hourly Python Data Science Jobs in Redmond, WA (NOW HIRING)

Nexxen International Ltd

Data Scientist

Bellevue, WA · On-site

$160K - $200K/yr

Strong programming skills in Python, SQL, and other data science tools are essential. Communicate technical concepts and findings to both technical/non- technical team members Collaborate with ...

Sonsoft Inc

Data Science/Analytics

Seattle, WA · On-site

Hadoop, Spark, Python * Tableau/Spotfire/Qlikview * Nielsen/IRI/Market Research Data understanding Job responsibilities: * Understand business requirement from client and translate it to appropriate ...

Sonsoft Inc

Data Science/Analytics

Seattle, WA · On-site

Hadoop, Spark, Python * Tableau/Spotfire/Qlikview * Nielsen/IRI/Market Research Data understanding Job responsibilities: * Understand business requirement from client and translate it to appropriate ...

Sonsoft Inc

Data Science Analytics

Seattle, WA · On-site

Hadoop, Spark, Python * Tableau/Spotfire/Qlikview * Nielsen/IRI/Market Research Data understanding Job responsibilities: * Understand business requirement from client and translate it to appropriate ...

Socket.dev

Data Scientist

Bellevue, WA · On-site

$160 - $200/hr

Strong programming skills in Python, SQL, and other data science tools are essential. * Communicate technical concepts and findings to both technical/non-technical team members. * Collaborate with ...

PACCAR

Data Scientist

Renton, WA

$104K - $146K/yr

... Data Science experience, preferred. * Experience with SQL, Python, and GitHub required ... Experience using Supervised and Unsupervised machine learning methods required. * Experience or ...

PACCAR

Data Scientist

Renton, WA · On-site

$104K - $146K/yr

... Data Science experience, preferred. * Experience with SQL, Python, and GitHub required ... Experience using Supervised and Unsupervised machine learning methods required. * Experience or ...

PACCAR

Data Scientist

Renton, WA · On-site

$104K - $146K/yr

... Data Science experience, preferred. * Experience with SQL, Python, and GitHub required ... Experience using Supervised and Unsupervised machine learning methods required. * Experience or ...

Microsoft Corporation

Senior Data Scientist

Redmond, WA · On-site

$119K - $234K/yr

Experience writing production-quality Python code. * Demonstrated interest in Responsible AI. Data Science IC4 - The typical base pay range for this role across the U.S. is USD $119,800 - $234,700 ...

Socket.dev

Senior Data Scientist

Seattle, WA · On-site

$120 - $150/hr

... in data science/ML/applied AI/analytics. * Proficient in Python, SQL, R; pandas/NumPy ... scikit‑learn/PyTorch/TensorFlow/statsmodels. * Experience with ML/statistics/NLP/information ...

Microsoft

Senior Data Scientist

Redmond, WA · On-site

$119K - $234K/yr

Experience writing production-quality Python code. * Demonstrated interest in Responsible AI. Data Science IC4 - The typical base pay range for this role across the U.S. is USD $119,800 - $234,700 ...

Amazon

Data Scientist, Prime Video Science

Seattle, WA · On-site

... customer data. You will work close to science: probing why a model behaves the way it does ... Python) or statistical/mathematical software (e.g. R, SAS, Matlab, etc.) experience - 2+ years of ...

Microsoft

Principal Data Scientist - CoreAI

Redmond, WA · On-site

$188K - $304K/yr

... data science and analytics projects that delivered measurable product and growth wins. * 5+ years of experience analyzing, visualizing, and modeling large-scale data using SQL, Python, or R. * 5+ ...

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Hourly Python Data Science information

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How much do hourly python data science jobs pay per hour?

As of Aug 18, 2026, the average hourly pay for hourly python data science in Redmond, WA is $65.65, according to ZipRecruiter salary data. Most workers in this role earn between $54.13 and $74.57 per hour, depending on experience, location, and employer.

What is an hourly Python data science job?

Hourly Python Data Science jobs are roles where professionals use Python programming to analyze, interpret, and visualize data, and are paid based on the number of hours they work. These positions often involve tasks such as data cleaning, statistical analysis, machine learning, and data visualization. Hourly data science jobs offer flexibility for both employers and workers, making them popular for freelance, contract, or part-time arrangements. Python's robust libraries and tools make it a preferred language for these roles.

What are the key skills and qualifications needed to thrive as an hourly Python data science professional?

To thrive as an Hourly Python Data Science professional, you need a solid understanding of statistics, data analysis, and programming in Python, often supported by a degree in a quantitative field or equivalent experience. Familiarity with tools like Pandas, NumPy, scikit-learn, and data visualization libraries, as well as experience with version control systems like Git, is typically required. Strong problem-solving abilities, effective communication, and adaptability help you deliver insights and solutions to clients efficiently. These skills ensure accurate analysis, clear reporting, and the ability to meet diverse project needs in a flexible, project-based environment.

What are some common challenges faced by hourly Python data science professionals, and how can they be addressed?

Hourly Python Data Science professionals often encounter challenges such as managing multiple clients with varying expectations, adapting quickly to different data environments, and handling inconsistent workloads. To address these, it's important to establish clear communication with clients about project scope and deadlines, maintain well-organized code and documentation for easy context switching, and utilize tools like version control and virtual environments. Building a strong personal workflow and prioritizing time management can help ensure high-quality deliverables across diverse projects.

What is the difference between Hourly Python Data Science vs Data Analyst?

AspectHourly Python Data ScienceData Analyst
Required SkillsPython, statistical analysis, machine learningExcel, SQL, data visualization
Work EnvironmentTech companies, startups, research labsBusiness, marketing, finance sectors
Common CertificationsPython certifications, data science coursesExcel, Tableau, SQL certifications

Hourly Python Data Science roles focus on advanced analytics, machine learning, and programming with Python, often in tech-driven environments. Data Analysts typically handle data cleaning, visualization, and reporting using tools like Excel and SQL. While both roles require data handling skills, Python Data Science positions demand programming expertise and statistical knowledge, making them more technical and specialized.

What cities near Redmond, WA are hiring for Hourly Python Data Science jobs?

Cities near Redmond, WA with the most Hourly Python Data Science job openings:

Hourly Python Data Science jobs near you

Sr. Data Scientist

Divisions Maintenance Group

Seattle, WA

Full-time

Medical, Dental, Vision, Retirement, PTO

Re-posted 19 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 254 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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