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Scientific Machine Learning Jobs in Lancaster, PA

The role is an in-office position where the Data Scientist is expected to be in the office ... Demonstrated experience with one or more machine learning techniques including logistic regression ...

Design, test, validate, and refine predictive, forecasting, optimization, and machine learning ... Stay current on data science, analytics, automation, transportation, logistics, fleet planning, and ...

Manage a team of machine learning engineers. Work with analytics leaders, data analysts, and data scientists in various business groups (Marketing, Maintenance, Pricing, Finance) and IT groups (Data ...

... machine learning (ML) environment. This critical role is responsible for delivering and supporting multiple AI/ML and data science projects across the enterprise. You will assess and select ...

Chief Data Officer

Street, MD ยท On-site

$150 - $200/hr

Design and implement digital engineering infrastructure, leveraging artificial intelligence (AI), machine learning (ML), and data science methodologies to transform large volumes of experimental ...

... and machine learning to enhance payroll operations, improve data accuracy, and drive strategic ... Science, or related field โ€ข Experience working with large datasets and applying analytical ...

Sr Data Scientist

Lititz, PA ยท On-site +1

Demonstrable portfolio (git repos, kaggle competitions, etc) of machine learning projects. * You have proven ability as a full stack data scientist who develops, experiments, optimizes, and scales ...

Data Scientist 3

Lititz, PA ยท On-site +1

$130K - $150K/yr

Demonstrable portfolio (git repos, kaggle competitions, etc) of machine learning projects. * You have proven ability as a full stack data scientist who develops, experiments, optimizes, and scales ...

Key Responsibilities: - Lead data science team in developing advanced analytical models and machine learning solutions - Oversee data quality initiatives and data integration efforts. - Manage and ...

Key Responsibilities: - Lead data science team in developing advanced analytical models and machine learning solutions - Oversee data quality initiatives and data integration efforts. - Manage and ...

Valley Machine Operator

Lancaster, PA ยท On-site

$16.50 - $19.75/hr

... science of engineering, science and technology to shape the future of comfortable living ... We look forward to learning more about you. Equal Opportunity Employer This employer is required to ...

Operations AI Intern

Morgantown, PA ยท On-site

$14.75 - $19.50/hr

Currently pursuing a degree in Computer Science, Data Science, Engineering, AI/ML, Industrial Engineering, or related field. * Foundational knowledge of machine learning concepts and data analysis.

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Scientific Machine Learning information

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How much do scientific machine learning jobs pay per hour?

As of Jul 29, 2026, the average hourly pay for scientific machine learning in Lancaster, PA is $30.59, according to ZipRecruiter salary data. Most workers in this role earn between $18.70 and $38.99 per hour, depending on experience, location, and employer.

What is scientific machine learning?

Scientific machine learning (SciML) is an interdisciplinary field that combines principles from machine learning and scientific computing to solve complex scientific and engineering problems. It involves developing algorithms and models that can learn from data and physical laws, such as differential equations, to make predictions, optimize systems, or gain insights into phenomena. SciML is widely used in areas like physics, biology, climate science, and engineering, enabling researchers to accelerate simulations and make data-driven discoveries. The field often leverages both traditional numerical methods and modern machine learning techniques, making it a rapidly evolving area of research.

What are some common challenges faced by professionals in Scientific Machine Learning, and how can they be addressed?

Professionals in Scientific Machine Learning often encounter challenges such as integrating domain-specific scientific knowledge with machine learning models, managing large and complex datasets, and ensuring that models are interpretable and physically consistent. Collaboration with domain experts and interdisciplinary teams is essential to bridge knowledge gaps and validate results. To address these challenges, it is helpful to invest time in understanding the underlying scientific principles, keep up-to-date with advancements in both machine learning and scientific fields, and utilize specialized tools and frameworks designed for scientific data.

What are the key skills and qualifications needed to thrive as a Scientific Machine Learning professional, and why are they important?

To thrive as a Scientific Machine Learning professional, you need a strong background in mathematics, statistics, programming (often Python), and domain-specific scientific knowledge, typically with a graduate degree in a STEM field. Proficiency in machine learning frameworks (such as TensorFlow or PyTorch), scientific computing tools (like NumPy, SciPy), and experience with high-performance computing are commonly required. Critical thinking, problem-solving, and collaborative communication are vital soft skills for designing experiments and interpreting complex data. These skills ensure robust, reproducible results and the ability to bridge scientific inquiry with advanced computational methods.

What is the difference between Scientific Machine Learning vs Data Scientist?

AspectScientific Machine LearningData Scientist
Required credentialsAdvanced degrees in CS, ML, or related fields; knowledge of scientific computingDegree in CS, statistics, or related fields; strong analytical skills
Work environmentResearch labs, academia, industry R&D teamsBusiness analytics, tech companies, consulting firms
Industry usageResearch, scientific computing, engineering simulationsBusiness insights, predictive modeling, data analysis

Scientific Machine Learning focuses on integrating scientific knowledge with machine learning techniques for research and engineering applications. Data Scientists analyze data to extract insights and build predictive models for business or operational purposes. While both roles require strong technical skills, Scientific Machine Learning emphasizes scientific computing and domain-specific modeling, whereas Data Scientists focus on data analysis and visualization.

What are popular job titles related to Scientific Machine Learning jobs in Lancaster, PA? For Scientific Machine Learning jobs in Lancaster, PA, the most frequently searched job titles are:
What job categories do people searching Scientific Machine Learning jobs in Lancaster, PA look for? The top searched job categories for Scientific Machine Learning jobs in Lancaster, PA are:
What cities near Lancaster, PA are hiring for Scientific Machine Learning jobs? Cities near Lancaster, PA with the most Scientific Machine Learning job openings:
Data Scientist

Data Scientist

Penske

Reading, PA โ€ข On-site

Full-time

Posted 29 days ago


Job description


Position Summary:
Supports Penske's Procurement & Fleet Planning team by developing and delivering advanced analytics, reporting, and data science solutions that support fleet planning, vehicle acquisition, replacement planning, lifecycle analysis, procurement strategy, supplier performance, residual value analysis, and operational efficiency. The incumbent will be responsible for converting raw data from multiple sources into actionable business intelligence through data evaluation, ETL development, dashboarding, predictive modeling, forecasting, optimization, and process improvement analysis. This role requires strong business judgment, technical analytical skills, and the ability to translate complex data findings into practical recommendations for business stakeholders. The position will support cross-functional initiatives and collaborate with internal customers, vendors, suppliers, OEMs, and business partners.
This position is located at our Corporate offices in a beautiful country setting 7 miles South of Reading, PA which is a convenient commute with ample free and easy parking. The role is an in-office position where the Data Scientist is expected to be in the office full-time.
Major Responsibilities:
โ€ข Perform quantitative and qualitative analysis using traditional and advanced techniques, including trending, correlation, forecasting, optimization, clustering, and what-if analysis, to support Procurement, Fleet Planning, field, and leadership teams.
โ€ข Analyze vehicle, supplier, cost, market, maintenance, telematics, resale, and operational data to identify planning opportunities, cost savings, and process improvements.
โ€ข Identify data sources, extract and combine data from internal and external systems, and cleanse, validate, and organize data for analysis.
โ€ข Build and maintain ETL processes, analytical datasets, reporting tables, and repeatable workflows to improve data reliability and efficiency.
โ€ข Design, test, validate, and refine predictive, forecasting, optimization, and machine learning models for fleet lifecycle planning, replacement planning, procurement, residual value analysis, and operational improvement.
โ€ข Build dashboards, reports, visualizations, and analytical tools to communicate findings, trends, risks, and opportunities to technical and business audiences.
โ€ข Partner with stakeholders to define business problems, project scope, data availability, expected outcomes, and practical analytical solutions.
โ€ข Collaborate with internal teams, vendors, suppliers, OEMs, and cross-functional partners to support delivery, adoption, and rollout of models, reports, and analytics tools.
โ€ข Maintain documentation, data definitions, assumptions, model logic, reporting logic, and analytical processes for reference.
โ€ข Stay current on data science, analytics, automation, transportation, logistics, fleet planning, and emerging technologies; evaluate tools for business use.
โ€ข Manage multiple tasks while supporting 1-3 simultaneous projects and meeting deadlines.
โ€ข Other projects and tasks as assigned.
Qualifications
Qualifications:
โ€ข Bachelor's degree in Data science, Statistics, Mathematics, Computer Science, Economics, Engineering, Operations Research, Information Systems, or a related quantitative field required.
โ€ข Master's degree in Data Science, Statistics, Mathematics, Computer Science, Economics, Engineering, Operations Research, Information Systems, or a related quantitative field preferred.
โ€ข 3+ years of experience in a related field required
โ€ข 3-5 years of experience in Experience designing and building machine learning applications using either structured or unstructured datasets is required.
โ€ข Practical experience programming using Python, R or other high level scripting languages is required. Demonstrated experience with one or more machine learning techniques including logistic regression, decision trees, random forests and clustering is required. Knowledge and experience with SQL is preferred.
โ€ข Experience with ELT Processes, data visualization and reporting tools, including Power BI or similar platforms, required.
โ€ข Experience working with vehicle, fleet, procurement, transportation, logistics, maintenance, supplier, telematics, financial, or operational data preferred.
โ€ข Ability to collect, cleanse and analyze complex data and translate data insights into action
โ€ข Ability to organize and prioritize work to meet multiple deadlines
โ€ข Strong problem-solving skills, learning agility, attention to detail, and passion for logistics, fleet planning, analytics, and continuous improvement.
โ€ข Effective communication skills in both oral and written form
โ€ข Regular, predictable, full attendance is an essential function of the job
โ€ข Willingness to travel as necessary, work the required schedule, work at the specific location required, complete Penske employment application, submit to a background investigation (to include past employment, education, and criminal history) and drug screening are required
Physical Requirements:
-The physical and mental demands described here are representative of those that must be met by an associate to successfully perform the essential functions of this job. Reasonable accommodations may be made to enable individuals with disabilities to perform the essential functions.
-The associate will be required to: read; communicate verbally and/or in written form; remember and analyze certain information; and remember and understand certain instructions or guidelines.
-While performing the duties of this job, the associate may be required to stand, walk, and sit. The associate is frequently required to use hands to touch, handle, and feel, and to reach with hands and arms. The associate must be able to occasionally lift and/or move up to 25lbs/12kg.
-Specific vision abilities required by this job include close vision, distance vision, peripheral vision, depth perception and the ability to adjust focus.
Penske is an Equal Opportunity Employer.
About Us
About Penske Truck Leasing/Transportation Solutions
Penske Truck Leasing/Transportation Solutions is a premier global transportation provider that delivers essential and innovative transportation, logistics and technology services to help companies and people move forward. With headquarters in Reading, PA, Penske and its associates are driven by a dedication to excellence and a commitment to customer success. Visit Go Penske to learn more.