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Temporary Data Scientist Ibm Jobs (NOW HIRING)

We are seeking a Temporary Data Engineer to support analysis and data-driven decision-making within ... D. in Data Science, Statistics, Computer Science, Engineering, or a related field is preferred.

... Data Science, Machine Learning & Generative AI. * Cloud Computing: 4+ years of hands-on experience with AWS, including deep expertise in deploying models and managing compute environments. * IBM ...

We are seeking a Temporary Data Engineer to support analysis and data-driven decision-making within ... D. in Data Science, Statistics, Computer Science, Engineering, or a related field is preferred.

We are seeking a Temporary Data Engineer to support analysis and data-driven decision-making within ... D. in Data Science, Statistics, Computer Science, Engineering, or a related field is preferred.

Perform data engineering, data processing and modeling techniques using cloud-based data management, data science, and ML platforms such as Databricks, IBM Cloud Pak, Cloudera, and Snowflake.

Data Scientist

Vancouver, WA · Hybrid

$65 - $70/hr

... IBM Data Science Professional Certificate Mathematics experience including multivariate calculus, linear algebra, differential equations, and real analysis: Probability and Statistics: including ...

Data Scientist

Vancouver, WA · On-site

$65 - $70/hr

... IBM Data Science Professional Certificate Mathematics experience including multivariate calculus, linear algebra, differential equations, and real analysis: Probability and Statistics: including ...

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 ...

Data Scientist Location: Newark NJ Interview process: Phone and In Person (face to face) Job ... SQL Programming and experience of at least one DBMS such as IBM DB2, Oracle, SQL Server or Sybase ...

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Temporary Data Scientist Ibm information

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How much do temporary data scientist ibm jobs pay per year?

As of Jul 29, 2026, the average yearly pay for temporary data scientist ibm in the United States is $165,018.00, according to ZipRecruiter salary data. Most workers in this role earn between $133,500.00 and $170,000.00 per year, depending on experience, location, and employer.
What cities are hiring for Temporary Data Scientist Ibm jobs? Cities with the most Temporary Data Scientist Ibm job openings:
What are the most commonly searched types of Data Scientist Ibm jobs? The most popular types of Data Scientist Ibm jobs are:
What states have the most Temporary Data Scientist Ibm jobs? States with the most job openings for Temporary Data Scientist Ibm jobs include:
Infographic showing various Temporary Data Scientist Ibm job openings in the United States as of July 2026, with employment types broken down into 1% As Needed, 84% Full Time, 11% Part Time, 1% Temporary, and 3% Contract. Highlights an 87% Physical, 3% Hybrid, and 10% Remote job distribution, with an average salary of $165,018 per year, or $79.3 per hour.

Temporary Data Engineer

nLIGHT

Vancouver, WA

$45 - $58/hr

Temporary

Medical, Dental, Vision

Re-posted 27 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. 
    • Partner with cross-functional teams, including Operations and Planning, to identify opportunities 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, with proficiency in Python, R, or similar analytical tools. 
    • Knowledge of semiconductor, laser, or other advanced manufacturing processes is preferred. 
    • Demonstrated ability to work independently, manage complex data challenges, and communicate findings effectively to a range of audiences.
    • Advanced Excel skills are required; experience with Power BI is preferred. 
    • 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 is preferred. 
    • Master’s degree or Ph.D. in Data Science, Statistics, Computer Science, Engineering, or a related field is preferred. 
    • Lean, Six Sigma Green Belt, or Black Belt certification is a plus. 
nLIGHT is proud to offer comprehensive COMPENSATION AND BENEFITS: 
This is a fixed‑term (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 or HR@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