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Chemical Engineering Data Science Jobs in Philadelphia, PA

Manager Data Science

Philadelphia, PA ยท On-site

$115K - $192K/yr

Lead and develop high-performing teams of data scientists, machine learning engineers, researchers, and technical contributors. * Define and execute data science strategies that advance scientific ...

Manager Data Science

Philadelphia, PA ยท On-site

$115K - $192K/yr

Lead and develop high-performing teams of data scientists, machine learning engineers, researchers, and technical contributors. * Define and execute data science strategies that advance scientific ...

Manager Data Science

Philadelphia, PA ยท On-site

$115K - $192K/yr

Lead and develop high-performing teams of data scientists, machine learning engineers, researchers, and technical contributors. * Define and execute data science strategies that advance scientific ...

Lead and develop high-performing teams of data scientists, machine learning engineers, researchers, and technical contributors. * Define and execute data science strategies that advance scientific ...

Collaborate closely with data science, product, and engineering teams to integrate models into production systems. * Present findings through clear reports, visualizations, or dashboards that inform ...

... data science and machine learning developer hands on keyboard experience * Experience working with LLM technologies, including developing generative and embedding techniques, modern model ...

Summary This role manages a team of data scientists responsible for a portfolio of diagnostic ... Programming skills to access,transformand prepare large scale data for machine learning modeling.

Summary This role manages a team of data scientists responsible for a portfolio of diagnostic ... Programming skills to access, transform and prepare large scale data for machine learning modeling.

Data Science Tutor

Trenton, NJ ยท Remote

$18 - $40/hr

What We Look For In a Data Science Tutor * Advanced Subject Mastery: Deep knowledge of statistical ... programming, hypothesis testing, and communication of data-driven insights. Ability to explain ...

Data Science Tutor

Chester, PA ยท Remote

$18 - $40/hr

What We Look For In a Data Science Tutor * Advanced Subject Mastery: Deep knowledge of statistical ... programming, hypothesis testing, and communication of data-driven insights. Ability to explain ...

Support data engineers in evaluating and improving the existing data science infrastructure, tools, and pipelines.Document analytical methodologies, assumptions, and results to ensure reproducibility ...

Support data engineers in evaluating and improving the existing data science infrastructure, tools, and pipelines.Document analytical methodologies, assumptions, and results to ensure reproducibility ...

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Showing results 1-20

Chemical Engineering Data Science information

See Philadelphia, PA salary details

$25.7K

$100.4K

$197.3K

How much do chemical engineering data science jobs pay per year?

As of Sep 6, 2026, the average yearly pay for chemical engineering data science in Philadelphia, PA is $100,357.00, according to ZipRecruiter salary data. Most workers in this role earn between $50,325.00 and $139,904.00 per year, depending on experience, location, and employer.

What is a chemical engineering data science?

A Chemical Engineering Data Science job combines chemical engineering principles with data science techniques to analyze and optimize chemical processes. Professionals in this field work with large datasets, machine learning models, and statistical methods to improve efficiency, reduce costs, and enhance safety in industries such as pharmaceuticals, energy, and materials. They may develop predictive models, conduct simulations, and implement AI-driven solutions to solve complex engineering challenges. This role requires expertise in programming, data analytics, and chemical process understanding to drive data-informed decision-making.

What does a chemical engineering data science do?

Professionals in Chemical Engineering Data Science typically spend their days collecting and cleaning process data, developing data models to predict or optimize chemical operations, and interpreting analytical results to improve production efficiency or product quality. They often use specialized software to simulate chemical processes and collaborate closely with engineers, plant operators, and IT professionals to implement data-driven solutions. Regular tasks may also include creating reports and data visualizations, troubleshooting data quality issues, and supporting digital transformation projects within manufacturing environments. The role is dynamic and requires continual learning as new tools and methodologies emerge, making strong communication skills and adaptability especially important.

What are the key skills and qualifications needed to thrive in chemical engineering data science?

To succeed in Chemical Engineering Data Science, you need a strong background in chemical engineering principles, statistical analysis, and programming (usually with Python, R, or MATLAB), often supported by a degree in chemical engineering or data science. Familiarity with machine learning algorithms, process simulation software (like Aspen Plus or HYSYS), and data visualization tools is highly valuable, and certifications in data analytics or Six Sigma can be advantageous. Strong analytical thinking, problem-solving, and effective communication skills help you interpret data-driven insights and collaborate with multidisciplinary teams. These competencies are essential for solving complex engineering problems, optimizing processes, and delivering actionable results in data-intensive chemical industry settings.

Can a chemical engineering data scientist become a data scientist?

A chemical engineering data scientist can become a data scientist by expanding their skills in programming, statistics, and machine learning, which are essential for general data science roles. Their domain expertise can be an advantage in industries like energy, pharmaceuticals, or manufacturing, but they may need additional training or certifications in data science tools such as Python, R, or SQL. Transitioning often involves gaining experience with broader data analysis techniques and project management skills common in data science positions.

What are the most commonly searched types of Chemical Engineering Data Science jobs in Philadelphia, PA?

The most popular types of Chemical Engineering Data Science jobs in Philadelphia, PA are:

What are popular job titles related to Chemical Engineering Data Science jobs in Philadelphia, PA?

For Chemical Engineering Data Science jobs in Philadelphia, PA, the most frequently searched job titles are:

What job categories do people searching Chemical Engineering Data Science jobs in Philadelphia, PA look for?

The top searched job categories for Chemical Engineering Data Science jobs in Philadelphia, PA are:

What cities near Philadelphia, PA are hiring for Chemical Engineering Data Science jobs?

Cities near Philadelphia, PA with the most Chemical Engineering Data Science job openings:

Infographic showing various Chemical Engineering Data Science job openings in Philadelphia, PA as of August 2026, with employment types broken down into 1% As Needed, 84% Full Time, 12% Part Time, and 3% Contract. Highlights an 87% Physical, 3% Hybrid, and 10% Remote job distribution, with an average salary of $100,357 per year, or $48.2 per hour.

Principal Scientist, Data Science - R&D DDSAI - Therapeutics Development & Supply (TDS)

Scorpion Therapeutics

Spring House, PA โ€ข On-site

$120 - $180/hr

Other

PTO

Posted 7 days ago


Job description

Position Summary:

Data Scientist โ€“ Data Engineer (R&D DDSAI โ€“ Therapeutics Development & Supply, TDS). Design, build, and optimize data capture, processing, and storage solutions enabling advanced analytics, digital transformation, and AI/ML across the development-to-supply continuum.

Key Responsibilities:
  • Design, build, and maintain scalable data pipelines integrating TDS data from lab systems, MES, clinical supply, quality systems, and external partners.
  • Create/optimize structured and unstructured data flows using Python, R, SQL, DBT, cloud services, and modern engineering tools.
  • Build and maintain TDS data repositories; implement enterprise data models.
  • Ensure AI/ML readiness (well-structured, versioned, traceable, semantically aligned data).
  • Partner with data scientists and domain experts to define data products and engineering requirements.
  • Implement semantic/knowledge graph models and future-proof architectures.
  • Establish data quality/performance standards; define KPIs (accuracy, completeness, consistency).
  • Apply data versioning and lineage for compliance, traceability, and audit readiness; follow DevOps, documentation, and code versioning best practices.
Qualifications:Required:
  • Advanced degree (Engineering/Data Science/Life Sciences/CS or related); advanced degree preferred.
  • 3+ years data engineering (data modeling/database design), preferably in scientific/manufacturing/healthcare.
  • Proficiency: Python, R, SQL; cloud architectures (e.g., AWS, Snowflake, Redshift).
  • Experience with NoSQL and graph databases.
  • Strong analytical/problem-solving and stakeholder management; translate needs into requirements.
Preferred:
  • Regulated/standards-driven data (CDISC, HL7, FHIR, OMOP, DICOM, manufacturing/quality).
  • High-dimensional data (imaging/sensor).
  • Knowledge of MLOps/model deployment workflows.
  • Manufacturing systems (MES), lab information systems, or industrial data systems.
  • Knowledge graph architecture experience.
Required Skills:
  • Advanced Analytics
  • Data Analysis
  • Data Quality
  • Data Reporting
  • Data Science
  • Data Visualization
  • Digital Fluency
  • Critical Thinking
  • Technical Credibility
  • Workflow Analysis
  • Data Privacy Standards
Preferred Skills:
  • Coaching
  • Data Savvy
  • Econometric Models
  • Organizing
  • Process Improvements
  • Strategic Thinking
Benefits (time off):
  • Vacation (120 hrs/yr)
  • Sick time (40 hrs/yr; CO/Washington varies)
  • Holiday pay incl. Floating Holidays (13 days/yr)
  • Work/Personal/Family Time (up to 40 hrs/yr)
  • Parental Leave (480 hrs/yr)
  • Bereavement Leave (240 hrs/yr immediate family; 40 hrs extended family)
  • Caregiver Leave (80 hrs in 52-week period)
  • Volunteer Leave (32 hrs/yr)
  • Military Spouse Time-Off (80 hrs/yr)
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