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Physics Informed Machine Learning Jobs in Park Ridge, IL

ComEd

Sr Data Scientist

Oakbrook Terrace, IL · On-site

Applied Mathematics, Computer Science, Finance, Operations Research, Physics, Statistics, or related field * 4-7 years of relevant experience developing hypotheses, applying machine learning ...

Calamos Investments

Quantitative Analyst

Naperville, IL · On-site

$110K/yr

Incorporate machine learning techniques into systematic strategy research and development. Help ... Math, Physics, or a related field and 3 years of experience in financial engineering. Must also ...

ComEd

Assoc Data Scientist

Oakbrook Terrace, IL · On-site

$58K - $59K/yr

Become a subject matter expert in the areas of artificial intelligence, machine learning, feature ... Applied Mathematics, Computer Science, Finance, Operations Research, Physics, Statistics, or ...

Pwc

AI & GenAI Data Scientist-Senior Associate

Chicago, IL · On-site

$77K - $202K/yr

... informed decision-making. Responsibilities - Designing and implementing AI systems to transform raw data into actionable insights - Developing and deploying scalable AI and Machine Learning solutions ...

Pwc

AI & GenAI Data Scientist-Senior Associate

Rosemont, IL · On-site

$77K - $202K/yr

... informed decision-making. Responsibilities - Designing and implementing AI systems to transform raw data into actionable insights - Developing and deploying scalable AI and Machine Learning solutions ...

SciPro

Principal ML/AI Scientist

Mundelein, IL · Hybrid

The ideal candidate has experience building applied machine learning systems in healthcare or ... Physics, or a related technical discipline • Comfortable operating in fast-moving, highly ...

Purple Drive Technologies

Data Scientist

Chicago, IL · On-site

Masters, or PhD in a technical or quantitative discipline (e.g., statistics, mathematics, physics ... Experience in applying machine learning models within an investing context, with familiarity in ...

IMC

Quantitative Researcher - Futures

Chicago, IL · On-site

... machine learning techniques to derive forecasts that will be combined with IMC's best-in-class ... Physics, Computer Science, Financial Engineering, or similar). * Several years (5+ Years) of ...

Liminal

Sr. Systems Engineer

Mundelein, IL · On-site

$106K - $146K/yr

Our breakthrough EchoStat ® platform uses ultrasound and machine learning technology to supply ... We work closely on a foundation of mutual trust and informed decisions. * Our core values are trust ...

UL Solutions

Associate Data Scientist

Northbrook, IL · On-site

$60K - $60K/yr

Minimum of bachelor's degree or equivalent work experience in Data Science, Computer Science, Statistics, Physics, Engineering, or a related quantitative field. * Knowledge of machine learning ...

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

As of Jun 13, 2026, the average hourly pay for physics informed machine learning in Park Ridge, IL is $19.74, according to ZipRecruiter salary data. Most workers in this role earn between $12.31 and $25.10 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 are popular job titles related to Physics Informed Machine Learning jobs in Park Ridge, IL? For Physics Informed Machine Learning jobs in Park Ridge, IL, the most frequently searched job titles are:
What job categories do people searching Physics Informed Machine Learning jobs in Park Ridge, IL look for? The top searched job categories for Physics Informed Machine Learning jobs in Park Ridge, IL are:
What cities near Park Ridge, IL are hiring for Physics Informed Machine Learning jobs? Cities near Park Ridge, IL with the most Physics Informed Machine Learning job openings:
Physics Informed Machine Learning jobs near you
Sr Data Scientist

Sr Data Scientist

ComEd

Oakbrook Terrace, IL • On-site

Full-time

Medical, Dental, Vision, Life, Retirement, PTO

Posted 24 days ago

ComEd rating

8.6

Company rating: 8.6 out of 10

Based on 26 frontline employees who took The Breakroom Quiz

Job description

Who We Are
We're powering a cleaner, brighter future.
Exelon is leading the energy transformation, and we're calling all problem solvers, innovators, community builders and change makers. Work with us to deliver solutions that make our diverse cities and communities stronger, healthier and more resilient.
We're powered by purpose-driven people like you who believe in being inclusive and creative, and value safety, innovation, integrity and community service. We are a Fortune 200 company, 20,000 colleagues strong serving more than 10.7 million customers at six energy companies -- Atlantic City Electric (ACE), Baltimore Gas and Electric (BGE), Commonwealth Edison (ComEd), Delmarva Power & Light (DPL), PECO Energy Company (PECO), and Potomac Electric Power Company (Pepco).
We're committed to creating an environment where every person can thrive. Our employee experience is grounded in four tenets that guide how we support our people: purposeful careers, growth opportunities, community impact, and support to thrive.
In our relentless pursuit of excellence, we elevate diverse voices, fresh perspectives and bold thinking. And since we know transforming the future of energy is hard work, we provide competitive compensation, incentives, excellent benefits and the opportunity to build a rewarding career.
Are you in?
Primary Purpose
Apply the scientific method to extract knowledge and insights from data, which may take the form of time-series (smart-meters, smart-grid, and other IoT), structured (relational data stores), and unstructured (text and multi-media) data sets. Closely collaborate with various internal stakeholders, information architects, data engineers, project/program managers, and other teams to turn data into critical information to inform decision making. This requires understanding business needs, providing and receiving regular feedback, and planning the proper transfer of developed solutions. Mine big and small data for insights, using advanced statistic and machine learning methods. Validate findings with the business by sharing analysis outputs in a way that can be understood by business stakeholders. Become a subject matter expert in the areas of artificial intelligence, machine learning, feature engineering, data mining, and data manipulation/storage. Demonstrate commitment to continuous learning and professional development in technical subject matter. Share knowledge with team members, and business stakeholders, and IT partners. Collect, cleanse, standardize and analyze data from a variety of internal and external sources. Produce novel insights to help inform business actions using statistical modeling and machine learning techniques on complex data-sets on the order of several terabytes or petabytes. Position may be required to work extended hours for coverage during storms or other energy delivery emergencies.
Primary Duties
  • Develop key predictive models that lead to delivering a premier customer experience, operating performance improvement, and increased safety best practices. Develop and recommend data sampling techniques, data collections, and data cleaning specifications and approaches. Apply missing data treatments as needed. (25%)
  • Analyze data using advanced analytics techniques in support of process improvement efforts using modern analytics frameworks, including but not limited to Python; SQL; Spark, Hadoop file system and others (15%)
  • Access and analyze data sourced from various Company systems of record. Support the development of strategic business, marketing, and program implementation plans. (15%)
  • Access and enrich data warehouses across multiple Company departments. Build, modify, monitor and maintain high-performance computing systems. (5%)
  • Provide expert data and analytics support to multiple business units (20%)
  • Works with stakeholders and subject matter experts to understand business needs, goals and objectives. Work closely with business, engineering, and technology teams to develop solution to data-intensive business problems and translates them into data science projects. Collaborate with other analytic teams across Exelon on big data analytics techniques and tools to improve analytical capabilities. (20%)

Job Scope
  • Support business unit strategic planning while providing a strategic view on machine learning technologies.
  • Advice and counsel key stakeholders on machine learning findings and recommend courses of action that redirect resources to improve operational performance or assist with overall emerging business issues.
  • Provide key stakeholders with machine learning analyses that best positions the company going forward.
  • Educate key stakeholders on the organizations advance analytics capabilities through internal presentations, training workshops, and publications.

Minimum Qualifications
  • Education: Bachelor's degree in a Quantitative discipline. Ex: Applied Mathematics, Computer Science, Finance, Operations Research, Physics, Statistics, or related field
  • 4-7 years of relevant experience developing hypotheses, applying machine learning algorithms, validating results to analyze multi-terabyte datasets and extracting actionable insights is required. Previous research or professional experience applying advanced analytic techniques to large, complex datasets.
  • Analytical Abilities: Strong knowledge in at least two of the following areas: machine learning, artificial intelligence, statistical modeling, data mining, information retrieval, or data visualization.
  • Technical Knowledge: Proven experience in developing and deploying predictive analytics projects using one or more leading languages (Python, R, Scala, etc.). Experience working within an open-source environment and Unix-based OS.
  • Communication Skills: Ability to translate data analysis and findings into coherent conclusions and actionable recommendations to business partners, practice leaders, and executives. Strong oral and written communication skills.

Preferred Qualifications
  • Education: Masters in a Quantitative discipline. Ex: Engineering, Applied Mathematics, Computer Science, Finance, Ops Research, Physics, Statistics, or related field
  • Experience: Prior exposure to data structures pertaining to smart-meters, billing, or outage management systems. Prior exposure to the utilities or broader energy sector. Prior exposure to the full spectrum of data science lifecycle, including data acquisition, maintenance, processing, analysis, and communication.
  • Analytic Abilities: Solid understanding of relevant theories in machine learning, statistics, probability theory, data structures and algorithms, optimization, etc.
  • Technical Knowledge: Expert level coding skills (Python, R, Scala, SQL, etc), and experience developing in a Unix environment. Proficiency in database management and large datasets: create, edit, update, join, append and query data from columnar and big data platforms.
  • Communication Skills: Ability to translate executive and analytics leaders' vision and guidance into methods and analytics. Strong time management and presentation skills.

Benefits
  • Annual salary will vary based on a candidate's skills, qualifications, experience, and other factors: $104,000.00/Yr. - $143,000.00/Yr.
  • Annual Bonus for eligible positions: 15%
  • 401(k) match and annual company contribution
  • Medical, dental and vision insurance
  • Life and disability insurance
  • Generous paid time off options, including vacation, sick time, floating and fixed holidays, maternity leave and bonding/primary caregiver leave or parental leave
  • Employee Assistance Program and resources for mental and emotional support
  • Wellbeing programs such as tuition reimbursement, adoption and surrogacy assistance and fitness reimbursement
  • Referral bonus program
  • And much more

Note: Exelon-sponsored compensation and benefit programs may vary or not apply based on length of service, job grade, job classification or represented status. Eligibility will be determined by the written plan or program documents.

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About ComEd

Sourced by ZipRecruiter

ComEd began as the Western Edison Light Company, one of several companies owned by inventor and researcher Thomas Edison. In July 1892, another Edison employee moved to Chicago to run Edison's local company, Chicago Edison. Sam Insull had a sharp business mind and eagerly increased his knowledge of electricity. Through improved marketing and increased demand for electric lighting, Commonwealth Edison was born in September 1907. ComEd is a unit of Chicago-based Exelon Corporation, a Fortune 100 energy company with approximately 10 million electricity and natural gas customers. ComEd powers the lives of more than 4 million customers across northern Illinois, or 70 percent of the state’s population. ComEd's service territory borders Iroquois County to the south (roughly Interstate 80), the Wisconsin border to the north, the Iowa border to the west and the Indiana border to the east.

Industry

Utilities

Company size

10,000+ Employees

Headquarters location

Chicago, IL, US

Year founded

1907

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