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Senior Process Engineer, Data Optimization

Formenergy
Weirton, USA
Full-time
Senior · 5+ years experience
Onsite
Discovered 1 weeks ago
pythonsql

Full Job Posting

Role Description

We are seeking a Senior Process Engineer with a strong background in Data Optimization to join the NPI Operations team here at Form Energy. In this position, you will be responsible for leading and supporting the initial operational production assembly processes by providing data analytics tools to optimize line performance. You will use your strong background in data and process engineering within an industrial environment to integrate, share, and deepen process data systems for our first of a kind manufacturing facility. This is an exciting opportunity to help shape and be part of the growth of a fast-moving company with breakthrough technology and an incredible mission!

Relocation Assistance is available.

What you'll do:

Conduct in-depth analysis of process data to identify patterns, correlations, and trends that impact production line performance.

Use statistical methods to provide insights that drive improvements in Key Performance Indicators (KPIs) such as output, yield, and quality.

Design and build customized data analytics tools that enable process and equipment engineers to better understand and troubleshoot production issues.

Collaborate with cross-functional teams to continuously refine and optimize manufacturing processes.

Utilize data-driven approaches to recommend process changes, equipment upgrades, or operational adjustments that enhance efficiency, reduce downtime, and improve overall production outcomes.

Work to improve the accuracy, consistency, and accessibility of process data by developing automated systems for real-time data collection and reporting to ensure that relevant stakeholders have the information they need to make informed decisions quickly.

Develop dashboards, reports, and visualizations that communicate complex data insights in a clear and actionable manner to stakeholders at all levels.

What you'll bring:

Bachelor’s degree in Engineering, Data Science, Computer Science, or a related field and 5+ years experience in a production environment, or similar academic experience

Excellence in SQL, Python, R, or other data analysis tools.

Ability to define data architecture in cloud-based data platforms.

Experience in data analysis, statistical analysis, and process optimization.

Hands-on experience with production line data collection and analysis.

Excellent problem-solving skills and attention to detail.

Strong communication and collaboration skills.

Where you'll work:

This role is based at Form Factory 1 in Weirton, WV—an easy commute from the city of Pittsburgh, PA. This 550,000-square-foot facility is our hub for high-volume battery production and a leader in the new era of American energy manufacturing. Relocation assistance is available.

#LI-Onsite

Humanity is a cornerstone of Form Energy’s culture, and we make sure our compensation and benefits reflect that. Form Energy offers competitive salaries, stock options, and a holistic benefits package to ensure all employees have what they need to thrive while working here.

When it comes to you and your family’s health, we cover 100% of medical, dental, and vision premiums for full-time employees - and 80% of healthcare premiums for dependents. This starts from day one. We also offer at least 12 weeks of paid leave for new parents (up to 20 weeks for birthing parents), and generous vacation policies to give employees time to recharge when needed.

To build America’s energy future, we need everyone at the table. We are proud to be an equal opportunity employer, and encourage candidates from all backgrounds to apply to our open jobs.

If you may require reasonable accommodations to participate in our interview process, please contact [email protected]. Requests for accommodations will be treated with discretion. Form Energy is committed to maintaining the privacy of our applicants. Please be aware that we will never solicit sensitive personal information such as Social Security numbers or bank account details during the recruiting or hiring process.

Qualifications

  • Bachelor’s degree in Engineering, Data Science, Computer Science, or a related field and 5+ years experience in a production environment, or similar academic experience
  • Excellence in SQL, Python, R, or other data analysis tools.
  • Ability to define data architecture in cloud-based data platforms.
  • Experience in data analysis, statistical analysis, and process optimization.
  • Hands-on experience with production line data collection and analysis.
  • Excellent problem-solving skills and attention to detail.
  • Strong communication and collaboration skills.
  • This role is based at Form Factory 1 in Weirton, WV—an easy commute from the city of Pittsburgh, PA. This 550,000-square-foot facility is our hub for high-volume battery production and a leader in the new era of American energy manufacturing. Relocation assistance is available.
  • Humanity is a cornerstone of Form Energy’s culture, and we make sure our compensation and benefits reflect that. Form Energy offers competitive salaries, stock options, and a holistic benefits package to ensure all employees have what they need to thrive while working here.
  • When it comes to you and your family’s health, we cover 100% of medical, dental, and vision premiums for full-time employees - and 80% of healthcare premiums for dependents. This starts from day one. We also offer at least 12 weeks of paid leave for new parents (up to 20 weeks for birthing parents), and generous vacation policies to give employees time to recharge when needed.
  • To build America’s energy future, we need everyone at the table. We are proud to be an equal opportunity employer, and encourage candidates from all backgrounds to apply to our open jobs.
  • If you may require reasonable accommodations to participate in our interview process, please contact [email protected]. Requests for accommodations will be treated with discretion.
  • Form Energy is committed to maintaining the privacy of our applicants. Please be aware that we will never solicit sensitive personal information such as Social Security numbers or bank account details during the recruiting or hiring process.

Responsibilities

  • Conduct in-depth analysis of process data to identify patterns, correlations, and trends that impact production line performance.
  • Use statistical methods to provide insights that drive improvements in Key Performance Indicators (KPIs) such as output, yield, and quality.
  • Design and build customized data analytics tools that enable process and equipment engineers to better understand and troubleshoot production issues.
  • Collaborate with cross-functional teams to continuously refine and optimize manufacturing processes.
  • Utilize data-driven approaches to recommend process changes, equipment upgrades, or operational adjustments that enhance efficiency, reduce downtime, and improve overall production outcomes.
  • Work to improve the accuracy, consistency, and accessibility of process data by developing automated systems for real-time data collection and reporting to ensure that relevant stakeholders have the information they need to make informed decisions quickly.
  • Develop dashboards, reports, and visualizations that communicate complex data insights in a clear and actionable manner to stakeholders at all levels.

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