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Weekend Data Science R Jobs in Vancouver, WA (NOW HIRING)

nLIGHT

Temporary Data Engineer

Vancouver, WA · On-site

$45 - $58/hr

... R, or similar analytical tools. * Knowledge of semiconductor, laser, or other advanced ... D. in Data Science, Statistics, Computer Science, Engineering, or a related field is preferred.

nLIGHT

Temporary Data Engineer

Vancouver, WA · On-site

$45 - $58/hr

... Python, R, or similar analytical tools. * Knowledge ofsemiconductor,laser, or other advanced ... D. in Data Science, Statistics, Computer Science, Engineering, or a related field ispreferred.

nLIGHT

Temporary Data Scientist

Vancouver, WA

$40/hr

... R, or similar analytical tools. * Knowledge of semiconductor, laser, or other advanced ... D. in Data Science, Statistics, Computer Science, Engineering, or a related field is preferred.

nLIGHT

Temporary Data Scientist

Vancouver, WA

... R, or similar analytical tools. * Knowledge of semiconductor, laser, or other advanced ... D. in Data Science, Statistics, Computer Science, Engineering, or a related field is preferred.

Lam Research

Metrology Engineer 3

Tualatin, OR · On-site

Experience with scientific data analysis tools such as Python, MATLAB, R, JMP, or equivalent. Ability to interpret complex datasets and communicate findings effectively to technical and non-technical ...

Nike

Senior Applied Analytics Manager

Beaverton, OR · On-site

Bachelor's degree in Business Analytics, Statistics, Mathematics, Economics, Data Science, or ... Hands-on experience with SQL and proficiency in at least one scripting language such as Python, R ...

Intel

FFEO FORGE Statistician

Hillsboro, OR · On-site

Your expertise in statistical analysis and data science will support cross-functional teams ... R) and data visualization tools (e.g., Tableau, Power BI). Be part of a team where your expertise ...

Nike

Global Intelligence Analyst II

Beaverton, OR · On-site

Bachelor's degree in Business Analytics, Statistics, Mathematics, Economics, Data Science, or ... Hands-on experience with SQL and proficiency in at least one scripting language such as Python, R ...

Pwc

CTIO - AI Engineer- Senior Manager

Portland, OR · On-site

$91K - $321K/yr

Accounting, Analytics/Data Science, Artificial Intelligence/Robotics, Business Administration/Management, Computer Science/Information Systems, Cybersecurity, Engineering, Mathematics/Statistics ...

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All JobsData Science R JobsWeekend Data Science R JobsWeekend Data Science R Jobs in Vancouver, WA

Weekend Data Science R information

See Vancouver, WA salary details

$39.3K

$128.5K

$205.7K

How much do weekend data science r jobs pay per year?

As of Sep 9, 2026, the average yearly pay for weekend data science r in Vancouver, WA is $128,502.00, according to ZipRecruiter salary data. Most workers in this role earn between $103,100.00 and $142,400.00 per year, depending on experience, location, and employer.

What is a Weekend Data Science R?

A Weekend Data Science R is typically a data scientist or analyst who specializes in using the R programming language to analyze and interpret data, and who works primarily on weekends. This role may be part-time, project-based, or designed for individuals who are balancing other commitments during the week. Weekend Data Science R professionals often handle tasks such as data cleaning, statistical analysis, and creating data visualizations using R. They are valued for their ability to deliver insights and support decision-making processes, often on a flexible schedule. This role is ideal for those who have strong analytical skills and proficiency in R, and who prefer or require weekend work hours.

What are the key skills and qualifications needed to thrive as a Weekend Data Science R?

To thrive as a Weekend Data Science R, you need a solid background in statistics, programming (especially in R), and data analysis, often supported by a relevant degree or coursework. Familiarity with data visualization tools, machine learning libraries, and version control systems like Git is commonly required. Excellent problem-solving, time management, and communication skills help you tackle projects independently and convey insights clearly. These skills are crucial for delivering actionable results efficiently while balancing part-time or weekend schedules.

What are some common challenges faced by Weekend Data Science R professionals, and how can they effectively manage project deadlines given a limited work schedule?

Weekend Data Science R professionals often face the challenge of managing complex data analysis projects within a restricted timeframe. Balancing project deadlines with limited availability requires strong time management and clear communication with team members. It's important to set realistic goals for each work session, prioritize tasks that drive the most value, and leverage collaboration tools to stay aligned with colleagues working during weekdays. Building a habit of thorough documentation and regularly syncing with the team ensures that progress continues smoothly, even when not physically present during the standard workweek.

What are the most commonly searched types of Data Science R jobs in Vancouver, WA?

The most popular types of Data Science R jobs in Vancouver, WA are:

Weekend Data Science R jobs near you

Data Scientist

Portland, OR • On-site

BizTek People, Inc. | APA International Placement Consultants
Recruiting and Staffing Services • 51 - 200 employees
Learn more about BizTek People, Inc. | APA International Placement Consultantsexternal

Contractor

Re-posted 15 days ago

Job description


• Bachelor's degree in Business, Finance, Economics, Marketing, or a related field (an additional 2 years of experience in lieu of a related degree).
• Minimum 3-6 years of relevant professional experience.
• Advanced Microsoft Excel skills required.
• Advanced SQL skills required.
• Ability to perform advanced analysis using R, SAS, SPSS, or related statistical package.
• Familiarity with Python, or related scripting language.
• Moderate to advanced Tableau skills preferred.
• Proven ability to sift through data, identify critical information, analyze, develop hypotheses and make recommendations required.
• Strong presentation skills, with excellent written and verbal communication skills, including results packaging and development of management presentations.
• Experience synthesizing and packaging complex analyses and delivering results to non-technical audiences including senior leadership teams.
• Ability to develop strong partnerships across a multi-layered organization required.
• Experience in developing an understanding of customers, competitors, and retail trends; knowledge of sports apparel and footwear market preferred.

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