Temporary Data Scientist
About The Position
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 Scientist for a 9-month assignment 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.
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.
- 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.
Nice To Haves
- Knowledge of semiconductor, laser, or other advanced manufacturing processes is preferred.
- 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.
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.
Benefits
- This is a fixed‑term (approximately 9 months), exempt role with a competitive salary and full benefits.
- Target Cash Bonus of 6% of earned wages
- Eligible for Restricted Stock Unit grants
- 4 weeks of Paid Time Off per year
- 10 paid Holidays
- 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
- Flexible Spending and Health Savings Accounts
- Employee Stock Purchase Plan
- 401(k) with company match and immediate vesting
- Company paid Short-Term and Long-Term Disability, and Life & AD&D Insurance
- Employee Assistance Program
- Aflac Supplemental Insurance
- Paid Bereavement Leave and Jury Duty
- Tuition Assistance Program
- Pet Insurance
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What This Job Offers
Job Type
Full-time
Career Level
Mid Level
