Senior Data Science Engineer Jobs in Pennsylvania
Senior Data Science Engineer jobs in Pennsylvania are in strong demand, with active hiring concentrated in financial services, healthcare systems, insurance, and defense contracting across a market that draws candidates from entry-level data scientists through staff and principal engineers. Philadelphia and Pittsburgh lead hiring volume, with Harrisburg and the Route 202 technology corridor in Montgomery County also generating consistent openings. Employers like Comcast, Independence Blue Cross, and Highmark Health have deep, lasting data science practices in the state, with in-demand specialties including machine learning engineering, NLP, and MLOps infrastructure. Find a role that fits below and apply directly.
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Interested in a career that matters?

The Plant Biosolutions Applied Research team (PBARD) is seeking a highly motivated graduate student with a passion for software development, data science, and agriculture to develop an automated field trial data quality control tool that will improve the speed, accuracy, and consistency of data processing across our global field testing network.
By the end of the internship, the successful candidate will deliver a functional prototype that automates field trial data quality review, helping PBARD improve efficiency, data integrity, and confidence in research decisions.
The Role & Your Impact
Field trials generate large volumes of agronomic, biological, and environmental data that support product development, commercialization decisions, and innovation portfolio investments. You will design and develop a Python-based application that automates data quality review processes, identifies potential data issues, and provides actionable feedback to researchers before data are advanced into downstream analytics and decision-making workflows. The project will support PBARD's ongoing digital transformation efforts by reducing manual review time, improving data integrity, and enabling faster access to high-quality field trial results.
Key responsibilities:
- Develop a Python-based automated quality control (QC) tool for field trial data.
- Design validation checks to identify missing, inconsistent, or potentially erroneous data.
- Create user-friendly reporting capabilities that summarize quality issues and recommend corrective actions.
- Partner with researchers and business stakeholders to translate operational needs into effective technical solutions.
- Document the application, support user adoption, and present project outcomes and recommendations to R&D leadership.
What You’ll Need to Be Successful
Required qualifications
- Pursuing an M.S. or Ph.D. in Data Science, Computer Science, Statistics, Bioinformatics, Agricultural Engineering, or a related field.
- Strong Python programming skills.
- Experience with data analysis libraries such as Pandas and NumPy.
- Excellent problem-solving and communication skills.
Additional Skills & Interests We Value
- Experience with ARM or agricultural field-trial data.
- Experience with experimental data analysis, machine learning, databases, data visualization tools, or Django-based Python application development. Interest in agriculture, biological research, or digital transformation.
What We Offer
This internship offers the opportunity to apply software engineering and data science skills to a real-world business challenge while contributing directly to the future of sustainable agriculture.
Ways of Working / Working Conditions
- Full-time internship assignment lasting approximately 10 weeks. Located on-site at our Morrisville, NC facility.
Compensation & Benefits
Expected salary: $28/hr
Relevant Information
Program Dates: May 24th, 2027 to July 30th, 2027
Position Type: Temporary position payrolled through a third-party provider
Application Deadline: October 30, 2026
Our purpose guides the way
In Novonesis, we know that solutions rooted in biology can help solve humanity’s biggest challenges. Since we began more than a century ago, this has been our guide. It’s how we've gotten so far. And it’s how we'll impact the future. Now, more than ever, the world needs change. And with biosolutions, the possibilities for transformation are endless. If our purpose resonates with you, we encourage you to apply.
Opportunities for everyone
We are committed to an inclusive recruitment process and equal opportunity for all applicants. Therefore we ask you to apply without a cover letter or photo and instead include a few sentences in your CV explaining your motivation for applying.
We make all employment decisions based on business needs and welcome candidates with a wide range of backgrounds, including ethnicity, religion, gender, sexual orientation, age, disability, or veteran status.
Explore other openings
If this position isn’t the right fit, you may still find other opportunities with us. You’re welcome to explore open roles or create a job agent to stay connected with future opportunities at novonesis.com/Career
Interested in a career that matters?

The Plant Biosolutions Applied Research team (PBARD) is seeking a highly motivated graduate student with a passion for software development, data science, and agriculture to develop an automated field trial data quality control tool that will improve the speed, accuracy, and consistency of data processing across our global field testing network.
By the end of the internship, the successful candidate will deliver a functional prototype that automates field trial data quality review, helping PBARD improve efficiency, data integrity, and confidence in research decisions.
The Role & Your Impact
Field trials generate large volumes of agronomic, biological, and environmental data that support product development, commercialization decisions, and innovation portfolio investments. You will design and develop a Python-based application that automates data quality review processes, identifies potential data issues, and provides actionable feedback to researchers before data are advanced into downstream analytics and decision-making workflows. The project will support PBARD's ongoing digital transformation efforts by reducing manual review time, improving data integrity, and enabling faster access to high-quality field trial results.
Key responsibilities:
- Develop a Python-based automated quality control (QC) tool for field trial data.
- Design validation checks to identify missing, inconsistent, or potentially erroneous data.
- Create user-friendly reporting capabilities that summarize quality issues and recommend corrective actions.
- Partner with researchers and business stakeholders to translate operational needs into effective technical solutions.
- Document the application, support user adoption, and present project outcomes and recommendations to R&D leadership.
What You’ll Need to Be Successful
Required qualifications
- Pursuing an M.S. or Ph.D. in Data Science, Computer Science, Statistics, Bioinformatics, Agricultural Engineering, or a related field.
- Strong Python programming skills.
- Experience with data analysis libraries such as Pandas and NumPy.
- Excellent problem-solving and communication skills.
Additional Skills & Interests We Value
- Experience with ARM or agricultural field-trial data.
- Experience with experimental data analysis, machine learning, databases, data visualization tools, or Django-based Python application development. Interest in agriculture, biological research, or digital transformation.
What We Offer
This internship offers the opportunity to apply software engineering and data science skills to a real-world business challenge while contributing directly to the future of sustainable agriculture.
Ways of Working / Working Conditions
- Full-time internship assignment lasting approximately 10 weeks. Located on-site at our Morrisville, NC facility.
Compensation & Benefits
Expected salary: $28/hr
Relevant Information
Program Dates: May 24th, 2027 to July 30th, 2027
Position Type: Temporary position payrolled through a third-party provider
Application Deadline: October 30, 2026
Our purpose guides the way
In Novonesis, we know that solutions rooted in biology can help solve humanity’s biggest challenges. Since we began more than a century ago, this has been our guide. It’s how we've gotten so far. And it’s how we'll impact the future. Now, more than ever, the world needs change. And with biosolutions, the possibilities for transformation are endless. If our purpose resonates with you, we encourage you to apply.
Opportunities for everyone
We are committed to an inclusive recruitment process and equal opportunity for all applicants. Therefore we ask you to apply without a cover letter or photo and instead include a few sentences in your CV explaining your motivation for applying.
We make all employment decisions based on business needs and welcome candidates with a wide range of backgrounds, including ethnicity, religion, gender, sexual orientation, age, disability, or veteran status.
Explore other openings
If this position isn’t the right fit, you may still find other opportunities with us. You’re welcome to explore open roles or create a job agent to stay connected with future opportunities at novonesis.com/Career
See All 25 Senior Data Science Engineer Jobs in Pennsylvania
Find roles in Pennsylvania that match your experience and apply in just a few clicks.
Find JobsSenior Data Science Engineer Jobs by City in Pennsylvania
Where Pennsylvania roles are concentrated, by current openings.
Senior Data Science Engineer Job Market in Pennsylvania
A snapshot from current Pennsylvania openings, updated as new roles post.
Who's Hiring
Top Industries Hiring
- Technology & Software
What Pennsylvania Employers Look For
The qualifications that appear most often in senior data science engineer jobs across Pennsylvania.
- Bachelor's or master's degree in computer science, statistics, or a related quantitative field
- Five or more years of experience building and deploying machine learning models in production
- Proficiency in Python and SQL with hands-on experience using frameworks such as TensorFlow or PyTorch
- Experience designing MLOps pipelines and working with cloud platforms such as AWS, Azure, or GCP
- Strong communication skills for presenting model findings and insights to non-technical stakeholders
- Demonstrated experience with large-scale distributed data systems and tools such as Spark or Databricks
Senior Data Science Engineer Jobs in Pennsylvania: Frequently Asked Questions
How do you become a senior data science engineer in Pennsylvania?
Senior data science engineer roles in Pennsylvania do not require a state-issued license or registration, so the path runs through education and demonstrated experience. Most hiring managers expect at least a bachelor's degree in computer science, statistics, applied mathematics, or a related field, with a master's degree preferred for senior-level positions. Candidates strengthen their profile by building a portfolio of deployed ML projects, contributing to open-source work, and earning cloud certifications recognized by Pennsylvania's technology and healthcare employers.
How much do senior data science engineers make in Pennsylvania?
Senior data science engineers in Pennsylvania earn a median of about $106,850 a year, based on May 2025 Bureau of Labor Statistics wage data, ranging from around $63,340 for the lowest 10% to over $162,290 for the top 10%. Pay rises with experience, specialty, and employer.
Which companies hire senior data science engineers in Pennsylvania?
Employers hiring senior data science engineers in Pennsylvania right now include BNY, Merck, and CSL, based on current listings on Migrate Mate as of October 2026. Pennsylvania's concentration of large health insurance carriers, regional banks, and defense primes means many of these openings sit within regulated industries where experience with sensitive or high-volume data is a competitive advantage.
Which Pennsylvania cities have the most senior data science engineer jobs?
Pittsburgh, Philadelphia, and North Wales are the Pennsylvania cities with the most senior data science engineer openings, reflecting the state's hiring geography. Philadelphia dominates because of its dense cluster of health systems, insurers, and financial institutions, while Pittsburgh draws heavily from Carnegie Mellon University's technology ecosystem and the regional presence of robotics and autonomous systems companies. Smaller suburban markets along the Route 202 corridor benefit from satellite offices of large technology employers.
Are there remote senior data science engineer jobs in Pennsylvania?
Yes, and more than most fields. Data science engineering is inherently desk-based and cloud-dependent, making it one of the more remote-compatible roles in technology. About 56% of senior data science engineer openings tied to Pennsylvania are remote or hybrid as of October 2026, reflecting broad employer acceptance of distributed work. Modeling, experimentation, and pipeline development are the tasks most commonly performed fully remotely, while stakeholder presentations and production incident response may require occasional on-site presence.
How can I get hired as a senior data science engineer in Pennsylvania with little or no experience?
The most realistic entry path is a junior or associate data scientist role at a Pennsylvania employer that runs structured development programs. Highmark Health, Comcast, and Independence Blue Cross each recruit new graduates into rotational analytics or data engineering programs where early-career hires build production experience over one to two years. Moving laterally from a data analyst or software engineering role is also common, particularly if the candidate brings strong Python skills and at least one end-to-end ML project in their portfolio. A cloud certification from AWS or Google adds a measurable credential that Pennsylvania hiring teams recognize.
Where can I find and apply to senior data science engineer jobs in Pennsylvania?
You can find and apply to senior data science engineer jobs in Pennsylvania on Migrate Mate, which lists current Pennsylvania openings updated in real time. Search the listings, find roles that match your experience and target city, and apply directly to the employers posting them.
See All 25 Senior Data Science Engineer Jobs in Pennsylvania
Find roles in Pennsylvania that match your experience and apply in just a few clicks.
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