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Part Time Data Scientist Risk Jobs in Seattle, WA

iSpot

Research Data Scientist 1

Bellevue, WA · Remote

$95.95K - $106K/yr

The Research Data Science team builds innovative solutions for iSpot's audience measures ... or part-time office-based or a fully remote employee. A hybrid work schedule indicates that you ...

iSpot

Research Data Scientist 1

Bellevue, WA · On-site

$95.95K - $106K/yr

The Research Data Science team builds innovative solutions for iSpot's audience measures ... or part-time office-based or a fully remote employee. A hybrid work schedule indicates that you ...

Kitsap Mental Health Services

Risk Manager

Bremerton, WA · On-site

$29.58 - $36.97/hr

Up to 19 days + 2 mental health days + 10 holidays (pro-rated for part-time) * Fully Paid YMCA ... Maintain records and data on incidents and claims, identify trends, and recommend system-level ...

Kitsap Mental Health Services

Risk Manager

Bremerton, WA · On-site

$29.58 - $36.97/hr

Up to 19 days + 2 mental health days + 10 holidays (pro-rated for part-time) * Fully Paid YMCA ... Maintain records and data on incidents and claims, identify trends, and recommend system-level ...

Aquent

Agentic Judge (Real Estate License)

Seattle, WA · On-site +1

$36.22 - $40.24/hr

This is a part-time role with flexible hours. Work will be assigned on an as-needed basis can can ... Works directly with experienced Operations Managers, ML Engineers, Data Scientist, Software ...

Trunk Tools

Technical Intern (Part Time)

Redmond, WA · On-site

$40/hr

Our team includes more than 150 PhDs and data scientists, along with more than 4,000 AI practitioners and engineers. We harness the power of an integrated solution ecosystem-comprising industry ...

Shannon & Wilson Inc

Data Engineer

Seattle, WA · On-site

$90K - $120K/yr

Requirements: * Bachelor's degree in Computer Science, Data Engineering, or related field (or ... prorated for part-time employment) * Sick leave accrues based on state requirements * 9 paid ...

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Part Time Data Scientist Risk information

See Seattle, WA salary details

$42.7K

$139.7K

$223.6K

How much do part time data scientist risk jobs pay per year?

As of Jun 4, 2026, the average yearly pay for part time data scientist risk in Seattle, WA is $139,680.00, according to ZipRecruiter salary data. Most workers in this role earn between $112,100.00 and $154,800.00 per year, depending on experience, location, and employer.

What are the key skills and qualifications needed to thrive as a Part Time Data Scientist in Risk, and why are they important?

To thrive as a Part Time Data Scientist in Risk, you typically need expertise in statistics, data analysis, and programming languages like Python or R, along with a background in mathematics, statistics, or a related field. Familiarity with risk modeling tools, machine learning frameworks, and data visualization platforms such as SQL, TensorFlow, or Tableau is important. Strong problem-solving abilities, attention to detail, and clear communication help you translate complex data into actionable risk insights. These skills ensure accurate risk assessment and enable informed decision-making in dynamic business environments.

What are some unique challenges faced by part-time data scientists working in risk management roles?

Part-time data scientists in risk management often navigate challenges such as balancing workload within limited hours and ensuring timely delivery of critical analyses. Due to the high-stakes nature of risk assessment, they must prioritize tasks efficiently and maintain clear communication with full-time colleagues to stay aligned on evolving project needs. Additionally, they may need to quickly adapt to new data sources or regulatory requirements, making strong organizational skills and proactive learning essential. Collaboration with cross-functional teams, like compliance and engineering, is also key to ensuring comprehensive risk solutions.

What does a Part Time Data Scientist in Risk do?

A Part Time Data Scientist in Risk analyzes data to help organizations identify, assess, and mitigate potential risks. They use statistical models, machine learning, and data visualization to uncover patterns that may signal financial, operational, or cybersecurity risks. Working part time, they may focus on specific projects such as fraud detection, credit scoring, or compliance monitoring. They collaborate with other teams to develop actionable insights and often create reports or dashboards to communicate their findings.
What are the most commonly searched types of Data Scientist Risk jobs in Seattle, WA? The most popular types of Data Scientist Risk jobs in Seattle, WA are:
What are popular job titles related to Part Time Data Scientist Risk jobs in Seattle, WA? For Part Time Data Scientist Risk jobs in Seattle, WA, the most frequently searched job titles are:
What job categories do people searching Part Time Data Scientist Risk jobs in Seattle, WA look for? The top searched job categories for Part Time Data Scientist Risk jobs in Seattle, WA are:
Part Time Data Scientist Risk jobs near you

Research Data Scientist 1

iSpot

Bellevue, WA • Remote

$95.95K - $106K/yr

Full-time, Part-time

Posted 28 days ago

Job description

Immigration / Work Authorization Notice: Applicants must be currently authorized to work in the United States. iSpot is not able to sponsor or take over sponsorship of an employment visa for this position at this time.

iSpot competes for the best talent. Our compensation packages consist of salary and equity in one of Seattle's hottest start-ups, as well as other standard benefits. Most importantly, we provide a really interesting working experience, and the chance to contribute to the success of something great.

What You'll Be Part Of:

An iSpot Research Data Scientist is a key contributor to the future growth of the company, pushing boundaries on what is measurable in the TV viewing and advertising space. The Research Data Science team builds innovative solutions for iSpot's audience measures, attribution and lift analytics, and creative testing. After developing new methodologies and building prototypes, we work with our product and engineering teams to scale our models to satisfy the needs of brands, publishers, networks, and agencies in a constantly evolving marketing landscape.

Responsibilities:

  • Data Analysis and Modeling: Conduct in-depth data analysis and build advanced statistical models to extract insights from large viewing and demographic datasets.
  • Machine Learning Model Development: Develop, train, and deploy state-of-the-art machine learning models to solve a variety of measurement problems.
  • Data Pipeline Development: Work with our Engineering teams to design and implement efficient data pipelines to collect, process, and transform data from various sources.
  • Research and Innovation: Stay up-to-date with the latest data science techniques, tools, and technologies, and explore novel approaches to solve complex challenges.

Qualifications and Education Requirements:

  • Degree in mathematics, economics, statistics, computer science, physics, social sciences, or other quantitative discipline. A master's degree is preferred but not required.
  • 1-3 years of professional experience in data science and/or modeling

Preferred Skills:

  • Technical understanding of machine learning, statistics, data science, and related fields
  • Advanced user in several quantitative software tools, particularly Python, R, and/or SQL; willingness to learn new tools as needed
  • Expert at wrangling data and conducting thorough data analyses
  • Experience working with high dimensional data sets
  • Pragmatic, team-oriented; builds rapport and respect
  • Strong communication, writing, and critical thinking skills; attention to detail

Target cash compensation range: $95,950 - $106,000 USD Annually

We are committed to providing competitive, market-informed compensation. The cash compensation above includes base salary, variable commission for employees in eligible roles, and annual bonus targets for eligible roles. In addition to cash compensation, all full time iSpotters are eligible to participate in iSpot's equity plan to receive stock options. Non-exempt roles will also be eligible for (pre-approved) overtime pay. Individual compensation packages are influenced by different factors unique to each candidate, including their skills, experience, qualifications and other job-related reasons.

For more information on total rewards package, go HERE

Hybrid & Flexible Workplace Policy

iSpot supports a hybrid and flexible workplace. Depending on location and work responsibilities, employees may be designated as full-time or part-time office-based or a fully remote employee. A hybrid work schedule indicates that you work in the office some days and work from home other days. The best hybrid workplaces allow for flexibility while also encouraging consistency.

Those local or living in surrounding areas to one of our offices (Bellevue, WA or New York, NY) will work a hybrid schedule, coming into their local office 1-3 days a week. While those in a role, not office-based and located further away from our offices, will work a fully remote schedule. If you have questions regarding exact details of our hybrid & flexible workplace policy, please let your recruiter know and they will discuss with you further.

#LI-Remote

If you don't feel you met every single requirement for the role, don't rule yourself out. Please apply anyway!

iSpot is an equal opportunity employer. All applicants will receive consideration for employment without regard to race, ethnicity, gender, gender identity, sexual orientation, protected veteran status, disability, age, or other legally protected status. If you need assistance and/or a reasonable accommodation due to a disability during the application or the recruiting process, please contact our HR team.

California Residents applying for positions at iSpot can access our California Consumer Privacy Act here.