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Physics Informed Machine Learning Jobs in Northfield, MN

Lead Data Engineer

Eagan, MN · Hybrid

$116K - $140K/yr

... data-informed strategies. * Champion and implement advanced AI and machine learning techniques to innovate reporting solutions and provide predictive and prescriptive insights. * Conduct in-depth ...

Lead Data Engineer

Eagan, MN · On-site

$116K - $140K/yr

... data-informed strategies. * Champion and implement advanced AI and machine learning techniques to innovate reporting solutions and provide predictive and prescriptive insights. * Conduct in-depth ...

Staying informed of and adhering to all relevant laws, regulations, policies, and standards to ... learning and skill development. Career Stability & Advancement Join a growing healthcare field with ...

Physics Informed Machine Learning information

See Northfield, MN salary details

$5

$21

$26

How much do physics informed machine learning jobs pay per hour?

As of Jul 13, 2026, the average hourly pay for physics informed machine learning in Northfield, MN is $21.09, according to ZipRecruiter salary data. Most workers in this role earn between $13.12 and $26.78 per hour, depending on experience, location, and employer.

What are the key skills and qualifications needed to thrive in the Physics Informed Machine Learning position, and why are they important?

To thrive in Physics Informed Machine Learning, you need a solid background in physics, strong mathematical and statistical skills, and experience with machine learning algorithms, typically supported by an advanced degree in a relevant field. Proficiency with programming languages like Python, frameworks such as TensorFlow or PyTorch, and familiarity with numerical simulation tools are commonly required. Effective problem-solving, clear communication, and the ability to collaborate with interdisciplinary teams make a significant impact in this role. These capabilities are essential for developing robust, interpretable machine learning models that leverage physical laws to solve complex, real-world problems.

What are the typical challenges faced by professionals working in Physics Informed Machine Learning roles?

Professionals in Physics Informed Machine Learning often encounter challenges integrating complex physical theories with advanced machine learning models, requiring deep domain knowledge and strong technical skills. Balancing model accuracy with computational efficiency and ensuring that models are both interpretable and generalizable can be demanding. Collaboration with domain experts, data scientists, and engineers is common, as projects often span multiple disciplines. Successfully navigating these challenges provides valuable experience and is highly regarded, often leading to further career advancement in research, engineering, or leadership positions.

What is a Physics Informed Machine Learning job?

A Physics Informed Machine Learning (PIML) job involves developing AI models that integrate physics-based principles to improve accuracy, interpretability, and generalization. Professionals in this role use machine learning techniques alongside domain knowledge in physics, engineering, or applied sciences to solve complex problems in areas like fluid dynamics, materials science, and climate modeling. Responsibilities often include designing algorithms, implementing simulations, and validating results against experimental or real-world data. Employers typically seek expertise in deep learning, numerical methods, and programming languages like Python.

What cities near Northfield, MN are hiring for Physics Informed Machine Learning jobs? Cities near Northfield, MN with the most Physics Informed Machine Learning job openings:
Infographic showing various Physics Informed Machine Learning job openings in Northfield, MN as of July 2026, with employment types broken down into 100% Full Time. Highlights an 100% In-person job distribution, with an average salary of $43,865 per year, or $21.1 per hour.
Lead Data Engineer

Lead Data Engineer

THOMSON REUTERS

Eagan, MN • Hybrid

$116K - $140K/yr

Full-time

Medical, Dental, Vision, Life, Retirement, PTO

Posted 27 days ago


Thomson Reuters rating

8.9

Company rating: 8.9 out of 10

Based on 19 frontline employees who took The Breakroom Quiz

25th of 449 rated business services


Job description

Lead Data Engineer
We are seeking a highly skilled and strategic Lead Data Engineer to join our team. In this advanced individual contributor role, you will spearhead the development of sophisticated, insightful, and visually compelling reporting solutions using tools such as DBT, Snowflake, Claude.AI, SQL, Power BI, Tableau, Python, Excel, and PowerPoint.


A critical component of this position involves pioneering the integration of advanced AI solutions into our reporting processes to significantly enhance data-driven decision-making for our stakeholders.

Strategic collaboration with diverse stakeholders is paramount to ensure our reporting solutions address complex business needs effectively.

About the Role

In this opportunity as a Lead Data Engineer, you will:

  • Lead the architecture, development, design, and maintenance of complex, interactive, and dynamic data pipelines, frameworks and dashboards using DBT, SQL, Python, Claude.AI, Power BI, Tableau, Excel, and PowerPoint.

  • Partner strategically with senior stakeholders to define complex reporting needs, deliver high-impact actionable insights, and drive data-informed strategies.

  • Champion and implement advanced AI and machine learning techniques to innovate reporting solutions and provide predictive and prescriptive insights.

  • Conduct in-depth analysis of large, complex datasets to uncover critical trends, patterns, and anomalies that directly inform strategic business decisions.

  • Establish and enforce best practices for data integrity, accuracy, and governance across all reporting solutions, and mentor team members on these standards.

  • Provide expert guidance, mentorship, and training to team members and stakeholders on advanced reporting tools, analytical methodologies, and emerging AI technologies.

  • Drive continuous improvement initiatives for reporting processes and tools, proactively research and implement cutting-edge industry trends and technologies, and contribute to the team's technical roadmap.

  • Articulate complex findings and strategic recommendations to executive-level stakeholders through compelling presentations and comprehensive reports.

  • Lead data projects from conception through deployment, ensuring alignment with business objectives and technical excellence.

  • Act as a subject matter expert and technical escalation point for data analysis and reporting within the team.

About You

You're a fit for the role of Lead Data Engineer if you:

  • Possess a Bachelor's degree in Engineering, Data Science, Computer Science, Statistics, Business Analytics, or a related field; a Master's degree is a strong plus.

  • Have 8+ years of progressive experience in data engineering or a similar role, with a proven track record of leading complex reporting and dashboard projects and delivering impactful business intelligence solutions.

  • Demonstrate expert proficiency in DBT, SQL, Alteryx, Snowflake, Power BI, Tableau, Python (for data analysis and scripting), Excel (including advanced functions and modeling), and PowerPoint.

  • Have extensive, hands-on experience designing, implementing, and operationalizing AI solutions and machine learning algorithms to solve challenging business problems.

  • Exhibit exceptional data analytical, critical thinking, and problem-solving skills, with a demonstrated ability to interpret complex data and translate it into strategic business insights.

  • Possess outstanding communication, presentation, and influencing skills, with the ability to convey complex technical concepts clearly and persuasively to diverse audiences, including senior leadership.

  • Have a proven ability to lead technical initiatives, operate with a high degree of autonomy, collaborate effectively in a team environment, and mentor junior colleagues.

  • Show advanced proficiency in programming languages such as Python or R for complex data analysis, automation, and statistical modeling.

  • Have expert-level skills in SQL, Snowflake, DBT, for complex data extraction, manipulation, transformation, and query optimization.

  • Possess a deep understanding and practical experience with data warehousing concepts, ETL processes, data governance principles, and emerging AI technologies like Claude.AI, Copilot, Large Language Models (LLMs).

  • Demonstrate a strategic mindset with the ability to connect data insights to broader business strategy and outcomes.

#LI-GK1

New Position: This position is open due to an existing vacancy to support our evolving business needs.

What's in it For You?

  • Hybrid Work Model: We've adopted a flexible hybrid working environment (2-3 days a week in the office depending on the role) for our office-based roles while delivering a seamless experience that is digitally and physically connected.

  • Flexibility & Work-Life Balance: Flex My Way is a set of supportive workplace policies designed to help manage personal and professional responsibilities, whether caring for family, giving back to the community, or finding time to refresh and reset. This builds upon our flexible work arrangements, including work from anywhere for up to 8 weeks per year, empowering employees to achieve a better work-life balance.

  • Career Development and Growth: By fostering a culture of continuous learning and skill development, we prepare our talent to tackle tomorrow's challenges and deliver real-world solutions. Our Grow My Way programming and skills-first approach ensures you have the tools and knowledge to grow, lead, and thrive in an AI-enabled future.

  • Industry Competitive Benefits: We offer comprehensive benefit plans to include flexible vacation, two company-wide Mental Health Days off, access to the Headspace app, retirement savings, tuition reimbursement, employee incentive programs, and resources for mental, physical, and financial wellbeing.

  • Culture: Globally recognized, award-winning reputation for inclusion and belonging, flexibility, work-life balance, and more. We live by our values: Obsess over our Customers, Compete to Win, Challenge (Y)our Thinking, Act Fast / Learn Fast, and Stronger Together.

  • Social Impact: Make an impact in your community with our Social Impact Institute. We offer employees two paid volunteer days off annually and opportunities to get involved with pro-bono consulting projects and Environmental, Social, and Governance (ESG) initiatives.

  • Making a Real-World Impact:We are one of the few companies globally that helps its customers pursue justice, truth, and transparency. Together, with the professionals and institutions we serve, we help uphold the rule of law, turn the wheels of commerce, catch bad actors, report the facts, and provide trusted, unbiased information to people all over the world.

Our use of AI within the recruitment process Thomson Reuters utilizes Artificial Intelligence (AI) to support parts of our global recruitment process. Unless you opt-out, our AI system will assess the information provided by you and compare it to the requirements listed for the role, and present the result to our recruitment personnel for further review. The AI system acts as a supporting tool, but there is always a human making the decision if you will be considered for the role.In the United States, Thomson Reuters offers a comprehensive benefits package to our employees. Our benefit package includes market competitive health, dental, vision, disability, and life insurance programs, as well as a competitive 401k plan with company match. In addition, Thomson Reuters offers market leading work life benefits with competitive vacation, sick and safe paid time off, paid holidays (including two company mental health days off), parental leave, sabbatical leave. These benefits meet or exceeds the requirements of paid time off in accordance with any applicable state or municipal laws. Finally, Thomson Reuters offers the following additional benefits: optional hospital, accident and sickness insurance paid 100% by the employee; optional life and AD&D insurance paid 100% by the employee; Flexible Spending and Health Savings Accounts; fitness reimbursement; access to Employee Assistance Program; Group Legal Identity Theft Protection benefit paid 100% by employee; access to 529 Plan; commuter benefits; Adoption & Surrogacy Assistance; Tuition Reimbursement; and access to Employee Stock Purchase Plan.Thomson Reuters complies with local laws that require upfront disclosure of the expected pay range for a position. The base compensation range varies across locations. For any eligible US locations, unless otherwise noted, the base compensation range for this role is $110,000 USD - $204,200 USD. For Ontario, Canada, the base compensation range for this role is $118,200 CAD - $168,200 CAD. Base pay is positioned within the range based on several factors including an individual's knowledge, skills and experience with consideration given to internal equity. Base pay is one part of a comprehensive Total Reward program which also includes flexible and supportive benefits and other wellbeing programs. This role may also be eligible for an Annual Bonus based on a combination of enterprise and individual performance.

About Us

Thomson Reuters informs the way forward by bringing together the trusted content and technology that people and organizations need to make the right decisions. We serve professionals across legal, tax, accounting, compliance, government, and media. Our products combine highly specialized software and insights to empower professionals with the data, intelligence, and solutions needed to make informed decisions, and to help institutions in their pursuit of justice, truth, and transparency. Reuters, part of Thomson Reuters, is a world leading provider of trusted journalism and news.

We are powered by the talents of 26,000 employees across more than 70 countries, where everyone has a chance to contribute and grow professionally in flexible work environments. At a time when objectivity, accuracy, fairness, and transparency are under attack, we consider it our duty to pursue them. Sound exciting? Join us and help shape the industries that move society forward.

As a global business, we rely on the unique backgrounds, perspectives, and experiences of all employees to deliver on our business goals. To ensure we can do that, we seek talented, qualified employees in all our operations around the world regardless of race, color, sex/gender, including pregnancy, gender identity and expression, national origin, religion, sexual orientation, disability, age, marital status, citizen status, veteran status, or any other protected classification under applicable law. Thomson Reuters is proud to be an Equal Employment Opportunity Employer providing a drug-free workplace.

Thomson Reuters makes reasonable accommodations for applicants with disabilities, including veterans with disabilities, and for sincerely held religious beliefs in accordance with applicable law. If you reside in the United States and require an accommodation in the recruiting process, you may contact our Human Resources Department atHR.Leave-Expert@thomsonreuters.com. Disability accommodations in the recruiting process may include things like a sign language interpreter, making interview rooms accessible, providing assistive technology, or other relevant accommodations. Please note this email is not intended for general recruitment questions and we will promptly respond to inquiries regarding accommodations. More information on requesting an accommodation here.

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More information about Thomson Reuters can be found on thomsonreuters.com


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