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Technical Operations Scientist Jobs in Michigan (NOW HIRING)

DTE Energy

Expert Data Scientist

Detroit, MI · On-site

Job Summary Acts as a technical expert and project leader for the most challenging data science ... operation efficiency, product quality, and customer satisfaction (e.g., cost-benefit, invest-divest ...

Geologics Corporation

Data Scientist

Sterling Heights, MI · On-site

$72 - $85/hr

... operation. * Support configuration control, documentation and change impact analysis on the ... Working knowledge of technical concepts, strategies, methodologies, architectures, and technical ...

New

Geologics

Data Scientist

Sterling Heights, MI · Hybrid

$52 - $62/hr

... operation. * Support configuration control, documentation and change impact analysis on the ... Working knowledge of technical concepts, strategies, methodologies, architectures, and technical ...

Campbell's

They must possess a strong knowledge base of technical principles, thermal processing, and ... Operations throughout the development and commercialization process. This position will report ...

Posted today

Corning

Bachelor's degree in Computer Science, Information Technology, or a related field. * 5+ years of ... operations across 130+ countries. Join us and be part of building what's next.

Cisco

Applied AI Scientist

Ann Arbor, MI

You'll be part of a culture that values technical excellence, impactdriven innovation, and ... operational efficiency. * Collaborate with engineering, product, and data science teams to ...

Ford Motor Company

Analytics Scientist

Dearborn, MI · On-site

$130K - $169K/yr

Will you be a leader, a changemaker, a technical expert, a culture builder...or all the above? No ... Operational Research, Physics, Computer Engineering or a related field and 3 years of experience in ...

Kellanova

Scientist Product Development

Battle Creek, MI · On-site

$86K - $120K/yr

... American operations. The hybrid role can be based out of Battle Creek, MI, but may consider ... As an innovator, project leader, and technical problem solver, you will team up with others to ...

New

Munich RE

Data Scientist

Ann Arbor, MI · On-site

Identify data and operational issues requiring specialized analytics attention, data scrubbing, and ... Complete technical peer reviews as needed. * Maintain strong interpersonal skills - listen deeply ...

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Technical Operations Scientist information

What is a technical operations scientist?

Technical Operations Scientists are professionals who bridge the gap between scientific research and operational processes in industries such as pharmaceuticals, biotechnology, or manufacturing. They focus on ensuring that scientific procedures are efficiently translated into scalable production systems, maintaining product quality and compliance. Their responsibilities often include troubleshooting process issues, optimizing workflows, supporting technology transfer, and liaising between research, development, and production teams. This role is critical for maintaining seamless operations and supporting continuous improvement in technical environments.

What are some typical challenges technical operations scientists face when transitioning from research-focused roles?

Technical Operations Scientists often encounter challenges when shifting from research to operations, such as adapting to a faster-paced environment with strict timelines and regulatory requirements. Unlike pure research roles, this position emphasizes process optimization, troubleshooting, and cross-functional collaboration with manufacturing, quality assurance, and engineering teams. Success often depends on strong communication skills, attention to detail, and the ability to quickly resolve issues to maintain seamless production. Embracing these new responsibilities can offer valuable career growth and exposure to large-scale product development.

What are the key skills and qualifications needed to thrive as a technical operations scientist, and why are they important?

To thrive as a Technical Operations Scientist, you need a strong background in life sciences or engineering, analytical problem-solving abilities, and relevant industry experience, often supported by a bachelor’s or master’s degree. Familiarity with laboratory information management systems (LIMS), process validation, and quality control tools is typically required, along with knowledge of regulatory standards such as GMP. Strong communication, attention to detail, and teamwork skills help you collaborate effectively and troubleshoot complex operational issues. These competencies ensure processes run smoothly, products meet quality standards, and regulatory compliance is maintained in a high-stakes technical environment.

What is the difference between Technical Operations Scientist vs Laboratory Scientist?

AspectTechnical Operations ScientistLaboratory Scientist
CredentialsBachelor's or Master's in Life Sciences, Chemistry, or related fields; often requires technical certificationsBachelor's or Master's in Life Sciences, Chemistry, or related fields; certifications vary by specialization
Work EnvironmentManufacturing facilities, biotech companies, or research labs focusing on process optimization and technical supportResearch labs, clinical labs, or academic settings conducting experiments and analyses
Employer & Industry UsageBiotech, pharmaceutical, and manufacturing industries; involved in technical operations and process troubleshootingAcademic, clinical, or research institutions; focused on experimental work and data collection

The Technical Operations Scientist and Laboratory Scientist roles share educational backgrounds and work in scientific environments. However, the Technical Operations Scientist emphasizes process support, technical troubleshooting, and manufacturing operations, while the Laboratory Scientist focuses on experimental research and data analysis. Both roles are essential in biotech and pharma industries but serve different functions within the research and production pipeline.

What are popular job titles related to Technical Operations Scientist jobs in Michigan?

For Technical Operations Scientist jobs in Michigan, the most frequently searched job titles are:

What job categories do people searching Technical Operations Scientist jobs in Michigan look for?

The top searched job categories for Technical Operations Scientist jobs in Michigan are:

What cities in Michigan are hiring for Technical Operations Scientist jobs?

Cities in Michigan with the most Technical Operations Scientist job openings:

Technical Operations Scientist jobs near you

Expert Data Scientist

DTE Energy

Detroit, MI • On-site

Full-time

Re-posted 2 days ago

DTE Energy rating

8.6

Company rating: 8.6 out of 10

Based on 60 frontline employees who took The Breakroom Quiz

11th of 53 rated energy and utility

Job description

DTE is one of the nation's largest diversified energy companies. Our electric and gas companies have fueled our customer's homes and Michigan's progress for more than a century. And as Michigan's largest source of renewable energy, we're creating a cleaner, healthier environment to power our future. We're also serving communities beyond Michigan, where our affiliated businesses offer renewable energy, emission control technologies, and energy services to industries in 19 states.
But we're more than a leading energy company... and working at DTE is more than just a job. At DTE, we take great care of each other and our customers, and we use our energy to be a force for growth and prosperity in our communities. When you join us, you'll be part of a team that welcomes, recognizes, and celebrates differences and values everyone's health, safety, and wellbeing. Are you ready to make that kind of difference? Bring your energy to DTE. Together, we can achieve great things.
Testing Required: Not Applicable
Hybrid Role: This role is hybrid, with an established schedule of in-person work required at an assigned work location. Any remote work is expected to be performed from an employee's primary residence, unless allowed (or prohibited) through the Company's remote work guidelines.
Emergency Response: Yes - Must be available to perform a primary assignment in support of DTE's emergency response to storms or other events that impact service to our customers.
Job Summary
Acts as a technical expert and project leader for the most challenging data science projects. Provides highly technical and analytical assessments of business priorities to senior leadership and drives the implementation of analytic solutions. Acts as a strong influencer and change agent in the organization to advance a data-based decision-making culture. Oversees and coaches the team of data scientists to run analytical experiments methodically, evaluate alternative models, and develop predictive models to forecast business performance metrics. Communicates effectively with technical and non-technical stakeholders with strong domain expertise and business acumen. Leads the research and development of new technologies and best practices within the industry to recommend approaches and strategies that develop the organization's analytical capabilities-Span of Control: 0, Individual Contributor.
Key Accountabilities
  • Leads data science projects from end-to-end, collaborating with cross-functional stakeholders, identifying business requirements, gathering data, researching analytics solutions, and integrating solutions into business processes
  • Conducts advanced statistical analysis to determine trends and significant data relationships, and proactively recommends areas of improvement
  • Develops complex data sets and predictive models to support key decisions to improve safety, employee engagement, operation efficiency, product quality, and customer satisfaction (e.g., cost-benefit, invest-divest, forecasting, predictive, what-if, impact analysis, etc.)
  • Prepares and delivers insightful presentations and action recommendations. Educates leaders and crews on complex analytical findings in laymen terms and with storytelling/data visualization
  • Identifies and evaluates technologies and provides strategic inputs to advance the organization's analytics capabilities
  • Mentors the team of data scientists by guiding their professional development in conjunction with the team manager
  • Actively researches new technologies in related subjects and supports the organization to develop data analytics strategies and roadmaps

Minimum Education & Experience Requirements
This is a multi-track base requirement job; education and experience requirements can be satisfied through one of the following options:
  • Bachelor's degree and 10 years of experience, inclusive of 3 years of leading experience working as a team or project lead in a data analytical or computer programming function; or
  • Master's degree and 8 years of experience, inclusive of 3 years of leading experience working as a team or project lead in a data analytical or computer programming function; or
  • Ph.D. degree and 6 years of experience, including 3 years of leading experience working as the team or project lead in a data analytical or computer programming function
  • 5 years of experience in qualitative and quantitative analytics (e.g., data mining, regression analysis, hypothesis testing, A/B testing, predictive modeling, model optimization, time series analysis, cluster analysis, natural language processing/text analytics, and segmentation)

Other Qualifications
Preferred:
  • Master's or Ph.D degree with emphasis on coursework of a quantitative nature (e.g., Statistics, Computer Science, Engineering, Mathematics, Physics, Data Science, Econometrics, etc.)
  • Advanced business acumen and utility/energy industry experience
  • Deep interest and aptitude in data, metrics, analysis, trends, statistics, and program evaluation
  • Advanced project management skills
  • Experience with publications or conference presentations in a related subject

Other Requirements:
  • Intermediate-level competency using advanced Excel and statistical tools (e.g., Minitab, Alteryx, advanced Excel with VBA, R, Python, SAS, SPSS, Stata, MATLAB, etc.) to conduct in-depth analysis to support decision making
  • Proven expertise in articulating business questions and pulling data from relational databases (e.g., ORACLE, SQL SERVER)
  • Intermediate-to advanced-level programming skills in SQL, Python, R, and in visualization tools such as Power BI, Tableau
  • Intermediate- to advanced- level skills in data modeling, data structure, metadata, and the application of complex SQL queries with data from multiple sources, including a Big Data platform (e.g., Azure ADLS and Databricks)
  • Experience in designing, building, and supporting a production pipeline for data transformation and validation
  • Advanced skills of applied research design, machine learning, prediction, and optimization (e.g., multivariate statistical analysis, unsupervised and supervised learning, predictive modeling, Monte Carlo simulation)
  • Exceptional track record of successfully delivering large-scale analytical models and systems that result in substantial positive impact on business operations or customer satisfaction
  • Intermediate-level or higher Continuous Improvement knowledge, skills, and certifications
  • Self-starter and learning capability in advancing skillset in business processes, data science, and communications
  • Advanced interpersonal, analytical, and problem-solving skills, including the ability to communicate technical information and complex data analytics to a non-technical audience
  • Experience with leading large projects end-to-end with customer facing and system integration
  • Experience with mentoring and coaching data scientists
  • Experience with agile process development
  • Experience using version control (e.g., Git)

Additional Information
Incumbents may engage in all or some combination of the activities and accountabilities and utilize a variety of the competencies cited in this description depending upon the organization and role to which they are assigned. This description is intended to describe the general nature and level of work performed by incumbents in this job. It is not intended as an all-inclusive list of accountabilities or responsibilities, nor is it intended to limit the rights of supervisors or management representatives to assign, direct and control the work of employees under their supervision.
PRIVACY NOTICE TO CALIFORNIA JOB APPLICANTS
At DTE Energy, we are committed to providing an inclusive workplace where everyone feels welcome and a sense of belonging. We seek individuals with a heart for service, a passion to help our communities prosper, and ideas to help shape the future of energy. We are proud to be an equal opportunity, employer that considers all qualified applicants without regard to race, color, sex, sexual orientation, gender identity, age, religion, disability, national origin, citizenship, height, weight, genetic information, marital status, pregnancy, protected veteran status or any other status protected by applicable federal and/or state laws.

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