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Part Time Data Science Jobs in Redmond, WA (NOW HIRING)

iSpot

Manager, Client Data Science

Bellevue, WA · Remote

$136K - $168K/yr

Our Client Data Science team is dedicated to delivering invaluable insights and reports to our ... or part-time office-based or a fully remote employee. A hybrid work schedule indicates that you ...

King County, WA

Workforce Data Manager

Seattle, WA · On-site

$123K - $157K/yr

Z3 : KC Personnel Guidelines Full- or Part-Time: Full Time Hours/Week: 40 hours/week Summary King ... A bachelor's degree in Business, Public Administration, Human Resources, Data Science, or a related ...

New

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 ...

DigiPen

Adjunct Professor in Computer Science

Redmond, WA · On-site

$6.0K - $12K/mo

Topics include creation and usage of spatial data structures, object-culling strategies, geometry ... All Adjunct positions are part-time, temporary assignments (for no more than one semester at a time ...

King County, WA

Environmental Scientist III

Tukwila, WA · On-site

$118K - $142K/yr

PROTEC17-P&T-MTD Full- or Part-Time: Full Time Hours/Week: 40 hours/week Summary King County Metro ... Review Safety Data Sheets for environmental concerns including disposal of the product. * Provide ...

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All JobsData Science JobsPart Time Data Science JobsPart Time Data Science Jobs in Redmond, WA

Part Time Data Science information

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 improve model performance efficiently.

What Are Part-Time Data Science Jobs?

Part-time data science jobs focus on the collection, analysis, and manipulation of data sets. In this role, you can either work for one employer or freelance on a per-project basis. As a data scientist or data analyst, you mine and analyze information. Your duties also include using statistics and math on the data sets to develop algorithms and models that perform specific processes or aid with your employer’s decision-making. Machine learning engineers use data to create algorithms that help computers and machines process information in structured and unstructured environments and make decisions or take actions based on the data.

What is a part-time data science job?

A part-time data science job involves working fewer hours than a full-time data scientist, typically less than 40 hours per week. Part-time data scientists perform many of the same tasks as their full-time counterparts, such as analyzing data, building models, and generating insights to help organizations make data-driven decisions. These roles are ideal for students, professionals seeking additional income, or those looking for flexible work arrangements. Part-time positions may be project-based or ongoing, and can be found in various industries including tech, healthcare, finance, and retail.

Is 40 too late for data science?

Part time data science roles are accessible at any age, including at 40, provided you have relevant skills such as programming, statistics, and experience with tools like Python or R. Many professionals transition into data science later in their careers, and continuous learning through online courses or certifications can enhance your prospects regardless of age.

How do part-time data science roles typically structure team collaboration and project ownership?

In part-time data science positions, collaboration is often facilitated through regular virtual meetings, shared project management tools, and clear documentation. Part-time data scientists usually work on specific projects or components, such as data cleaning, exploratory analysis, or building models, while maintaining close communication with full-time team members and stakeholders. This structure allows for flexibility but also requires strong self-management and proactive updates to ensure alignment with the broader team's objectives. Many organizations use agile methodologies to assign tasks and track progress, making it easier for part-time contributors to integrate their work seamlessly.

Will AI replace data scientists?

AI is transforming the role of data scientists by automating routine tasks like data cleaning and basic analysis, but it does not eliminate the need for human expertise in interpreting results, designing models, and making strategic decisions. Data scientists with skills in programming, statistical analysis, and machine learning remain essential for developing and managing AI systems. The profession is evolving to include more focus on complex problem-solving, domain knowledge, and ethical considerations.

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

To thrive as a Part Time Data Scientist, you need strong analytical skills, statistical knowledge, and proficiency in programming languages like Python or R, often supported by a degree in a quantitative field. Familiarity with data analysis tools, machine learning libraries, and platforms such as SQL, Jupyter, or Tableau is typically required. Effective communication, time management, and problem-solving abilities help you deliver impactful insights within limited hours. These skills ensure you can efficiently analyze data, present findings clearly, and drive value for organizations even with part-time commitment.

Can you work part-time as a data scientist?

Yes, data science is a field that offers part-time opportunities, especially for freelance or contract roles. These positions often require skills in programming, statistics, and tools like Python or R, and may have flexible schedules to accommodate part-time work arrangements.
More about Part Time Data Science jobs
What are the most commonly searched types of Data Science jobs in Redmond, WA? The most popular types of Data Science jobs in Redmond, WA are:
What job categories do people searching Part Time Data Science jobs in Redmond, WA look for? The top searched job categories for Part Time Data Science jobs in Redmond, WA are:
What cities near Redmond, WA are hiring for Part Time Data Science jobs? Cities near Redmond, WA with the most Part Time Data Science job openings:
Part Time Data Science jobs near you

Manager, Client Data Science

iSpot

Bellevue, WA • Remote

$136K - $168K/yr

Full-time, Part-time

Posted 9 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:

Our Client Data Science team is dedicated to delivering invaluable insights and reports to our clients. We thrive on innovation, employing cutting-edge techniques that empower our clients to advance their businesses. Comprising Analysts, Data Scientists, and Engineers, our team brings a deep understanding of the media landscape, advanced data science techniques, and strong coding skills, all fueled by a passion for growth.

Responsibilities:

As a key member of the Client Data Science team, you will be responsible for a variety of critical tasks, including:

● Managing, mentoring and growing three direct reports as well as fostering growth of the entire Data Science team.
● Collaborating on complex problems, both independently and as part of a team, while writing and optimizing R, Python, or SQL scripts for effective data processing.
● Adapting existing tools and methods to meet evolving needs, balancing workloads across various projects, and leveraging solid machine learning and statistical skills to inform data-driven decisions.
● Collecting, aggregating, and manipulating data from multiple sources, applying analytical techniques to derive insights, and creating clear visualizations or reports.
● Engaging with internal and external teams to clarify requirements, address challenges, and develop tailored solutions, while documenting project status and updates in tools like JIRA.
● Communicating effectively with diverse audiences, translating complex findings into accessible formats through written reports and presentations, and actively participating in team discussions to support collaboration and problem-solving.
Qualifications and Education Requirements:
● Experience: 5+ years of experience in Analytics, Data Science, or a comparable field
● Education: Bachelor's degree in a quantitative or social science field, Master's/PhD preferred
● Coding Experience: 3+ years coding experience with 2+ years coding specifically in R or Python;
● Coding Skill: Advanced coding skill in Python, or R;
● Management Experience: 1+ years of people management or people mentorship;

Preferred Skills:

• Technical Knowledge: Intermediate knowledge of Analytics, Data Science, Statistics, Marketing, and Visualizations;
• Communication: Exceptional written and verbal communication with internal and external stakeholders at all levels;
• iSpot's Client Data Science team expects all candidates to have a range of soft skills, including but not limited to: critical thinking, attention to detail, and effective communication. Additionally, the following soft skills are required for success in this role: Problem solving; Empathy; Leadership.

Target cash compensation range: $136,000-168,000 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.