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Temporary Data Science R Jobs (NOW HIRING)

nLIGHT

Temporary Data Engineer

Vancouver, WA

$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 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

... 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

$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.

University of Colorado

Temporary Data Reviewer

Aurora, CO · On-site

$25 - $35/hr

Data Reviewer, Temporary Position #: 00782556 Requisition#: 40591 This is a Temporary position ... Minimum Qualifications: • Bachelor's degree in a scientific discipline or related field, or an ...

University of Hawaii

Lecturer (Data Science)

Hilo, HI · On-site

Temporary Other Conditions: Lecturer applicant pool for Academic Year 2026 - 2027. Positions are ... Proficient in Python or R Desirable Qualifications * Experience teaching Data Science, Python, R ...

Cypress HCM

Data Science Engineer

Austin, TX · Hybrid

$65 - $69.72/hr

Data Science Engineer Job Details * Data Science Engineer (Contract) * Location: Austin TX, 78758 ... Demonstrate expertise in ML techniques, SQL, Python/R, and big data frameworks. * Hands-on ...

Walmart

Director, Data Science

Bentonville, AR · On-site

$132K - $260K/yr

Position: Director, Data Science Job Location: 811 Excellence Dr, Bentonville, AR 72716 Duties ... Python, and R libraries. Communicates insights through structured storytelling formats and ...

Vizient, Inc.

Data Science Fellow

Chicago, IL · On-site

$51K - $87K/yr

You will be responsible for data science projects across the healthcare domains of clinical ... Python, R, or SAS, and strong proficiency with database design involving SQL, are required.

New

Vizient

Data Science Fellow

Chicago, IL

$51K - $87K/yr

You will be responsible for data science projects across the healthcare domains of clinical ... Python, R, or SAS, and strong proficiency with database design involving SQL, are required.

New

DelRicht Research

Temporary Data Coordinator

Metairie, LA · Remote

$20 - $22/hr

Would you love to be a part of healthcare and science innovation? Are you looking for a short-term ... Data Coordinator's Main Objective As a Temporary Data Coordinator, you'll support sponsor-facing ...

New

Varsity Tutors

Data Science Tutor

Doral, FL · Remote

$18 - $40/hr

What We Look For In a Data Science Tutor * Advanced Subject Mastery: Deep knowledge of statistical ... SQL, Python or R programming, hypothesis testing, and communication of data-driven insights.

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

As of Aug 1, 2026, the average yearly pay for temporary data science r in the United States is $122,738.00, according to ZipRecruiter salary data. Most workers in this role earn between $98,500.00 and $136,000.00 per year, depending on experience, location, and employer.

What is the 80 20 rule in data science?

In data science, the 80/20 rule, also known as Pareto principle, suggests that roughly 80% of results come from 20% of the efforts or data features. Data scientists often focus on the most impactful variables or tasks to optimize model performance and efficiency.

What jobs can you get knowing R?

Knowing R can qualify you for roles such as data analyst, data scientist, statistical programmer, or research analyst. These jobs involve data manipulation, statistical analysis, and visualization, often requiring familiarity with R packages like ggplot2 or dplyr and sometimes additional skills in SQL or Python.

Will AI replace data scientists in 2050?

As a temporary data science R, AI is expected to augment rather than replace data scientists by automating routine tasks and enhancing data analysis capabilities. Data scientists will continue to be essential for interpreting complex data, developing models, and applying domain expertise, especially as tools like machine learning frameworks evolve. Adaptability and skills in programming, statistics, and AI tools will remain valuable in the future job market.

Is 40 too late for data science?

Age is not a barrier to entering data science, and many professionals start or transition into the field later in life. Success depends on acquiring relevant skills such as programming, statistics, and tools like Python or R, along with practical experience. Continuous learning and adapting to industry trends are key regardless of age.
What cities are hiring for Temporary Data Science R jobs? Cities with the most Temporary Data Science R job openings:
What are the most commonly searched types of Data Science R jobs? The most popular types of Data Science R jobs are:
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Temporary Data Science R jobs near you

Temporary Data Engineer

nLIGHT

Vancouver, WA

$45 - $58/hr

Temporary

Medical, Dental, Vision

Re-posted 19 days ago

Job description

Who We Are
At nLIGHT, we are constantly on the cutting-edge of laser technology in a massively growing market. We are a leading provider of high-power semiconductors and fiber lasers for industrial, microfabrication, and aerospace & defense applications, to name a few. Our lasers are changing not only the way things are made, but also changing the things that can be made.
Headquartered in Camas, Washington, nLIGHT is a publicly listed company (NASDAQ: LASR).
We are seeking a Temporary Data Engineer to support analysis and data-driven decision-making within a high-tech manufacturing environment. This role will focus on integrating and analyzing data from multiple systems to identify trends, improve process understanding, and help predict manufacturing performance. The ideal candidate brings strong technical data skills, experience working with complex datasets, and the ability to communicate insights clearly to cross-functional stakeholders.

This position is anticipated to last approximately 9 months.

Responsibilities
    • Collect, clean, and structure data from multiple sources, including databases, APIs, and spreadsheets, to support meaningful analysis.
    • Develop, test, and apply statistical models, analytical methods, and machine learning techniques to solve business and manufacturing challenges.
    • Create reports, dashboards, and visualizations that translate technical findings into clear insights for non-technical audiences.
    • Partnerwith cross-functional teams, including Operations and Planning, toidentifyopportunities for improved performance and decision-making.
    • Present findings and recommendations to internal stakeholders in a clear, concise, and actionable manner.
Requirements
    • Strong SQL and relational database skills, including experience writing complex queries and working with Microsoft SQL Server and/or Azure SQL.
    • Experience integrating and transforming data from multiple sources, including on-premises and cloud-based systems.
    • Strong background in statistics, data analysis, and correlation methods, withproficiencyin Python, R, or similar analytical tools.
    • Knowledge ofsemiconductor,laser, or other advanced manufacturing processes ispreferred.
    • Demonstrated ability to work independently, manage complex data challenges, andcommunicate findingseffectively to a range of audiences.
    • Advanced Excel skills arerequired; experience with Power BI ispreferred.
    • Experience working with complex enterprise data environments and large datasets.
    • 3+ years of hands-on data analysis experience in a high-tech manufacturing, semiconductor, or similar environment ispreferred.
    • Master's degree or Ph.D. in Data Science, Statistics, Computer Science, Engineering, or a related field ispreferred.
    • Lean, Six Sigma Green Belt, or Black Belt certification is a plus.
nLIGHT is proud to offer comprehensive COMPENSATION AND BENEFITS:
This is a fixedterm (approximately 9 months), non-exempt role with a competitive pay and benefits.
Data Scientist pay range:$45.00-$58.00 hourly
Other compensation and benefits
  • Eligible for health benefits on the 1st day of the month after your start date
  • Medical, Dental and Vision Benefits, including prescription and orthodontia with employee-paid premiums as low as $40.00 per pay period
  • Employee Assistance Program
  • Flexible Spending and Health Savings Accounts
  • Pet Insurance

nLIGHT is subject to US Export Control regulations. To qualify for this position, you must be a US Person (that is, a US citizen, lawful permanent resident, or protected individual granted asylum or refugee status).

Equal Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, protected veteran status, disability, or age. For more information about our commitment to equal employment opportunity, please see this government poster:Know Your Rights: Workplace Discrimination is Illegal. If you are an individual with a disability and need a reasonable accommodation in the application or hiring process, please contact Human Resources at (360) 566-4460 orHR@nlight.net.
E-Verify Participation:
nLIGHT participates in the E-Verify program. This employer will provide the Social Security Administration (SSA) and, if necessary, the Department of Homeland Security (DHS) with information from each new employee's Form I-9 to confirm work authorization.
For more information, please review the following notices:
  • E-Verify Participation Poster
  • Right to Work Poster
Employment Type: Temporary Employee

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