Data Science Director Jobs in Pennsylvania
Data Science Director jobs in Pennsylvania are in strong demand, with active hiring concentrated in healthcare analytics, financial services, and technology across seniority levels from senior manager to VP of data. Philadelphia, Pittsburgh, and the Greater Wilmington corridor anchor most of the openings, where employers like Independence Blue Cross, PNC Financial Services, and Comcast have established data leadership teams. The most sought-after specialties in Pennsylvania right now are machine learning strategy, health data governance, and enterprise AI product development. Find a role that fits below and apply directly.
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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 24 Data Science Director Jobs in Pennsylvania
Find roles in Pennsylvania that match your experience and apply in just a few clicks.
Find Data Science Director JobsData Science Director Jobs by City in Pennsylvania
Where Pennsylvania roles are concentrated, by current openings.
Data Science Director 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 data science director jobs across Pennsylvania.
- Bachelor's or master's degree in data science, statistics, computer science, or a related quantitative field
- Seven or more years of data science experience including at least three years managing data teams
- Demonstrated ability to translate complex analytical findings into executive-level strategy and decisions
- Proficiency with machine learning frameworks, Python or R, and cloud data platforms such as AWS or Azure
- Experience leading cross-functional collaboration with engineering, product, and business stakeholders
- Strong background in data governance, model risk management, or regulatory compliance in a Pennsylvania-regulated industry
Data Science Director Jobs in Pennsylvania: Frequently Asked Questions
How do you become a data science director in Pennsylvania?
The path to a data science director role in Pennsylvania typically starts with a graduate degree in data science, statistics, applied mathematics, or computer science, followed by progressive experience as an analyst, senior data scientist, and data science manager. Pennsylvania has no state-issued license specific to this role, but candidates targeting healthcare or financial services employers often strengthen their profile with credentials such as a Certified Analytics Professional designation or domain-specific certifications recognized by Pennsylvania regulators in those sectors.
How much do data science directors make in Pennsylvania?
Data science directors 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 data science directors in Pennsylvania?
Employers hiring data science directors in Pennsylvania right now include BNY, CSL, and MSD, based on current listings on Migrate Mate as of October 2026. Pennsylvania's concentration of large health systems, regional banks, and insurance carriers means data leadership roles here often involve regulated-industry analytics and compliance-aware modeling.
Which Pennsylvania cities have the most data science director jobs?
Pittsburgh, Philadelphia, and Erie account for the largest share of data science director openings in Pennsylvania. Philadelphia drives volume through its dense cluster of health systems, insurers, and financial services firms, while Pittsburgh's growing technology and robotics ecosystem anchors demand there, and suburban markets outside each city add openings tied to corporate headquarters and research campuses.
Are there remote data science director jobs in Pennsylvania?
Yes, and more than most fields, since data science director work is primarily analytical and strategic rather than on-site. About 50% of data science director openings tied to Pennsylvania are remote or hybrid as of October 2026, reflecting how broadly employers have accepted distributed data leadership. The most fully remote positions tend to involve enterprise modeling, AI strategy, and platform architecture rather than roles requiring close collaboration with on-site lab or operations teams.
How can I get hired as a data science director in Pennsylvania with little or no experience?
The most realistic path is moving laterally from a senior data scientist or analytics manager role rather than applying to director positions directly. Large Pennsylvania employers such as UPMC, Independence Blue Cross, and PNC Financial Services run structured analytics development programs and regularly promote from within, so starting as a staff data scientist or analytics lead at one of these institutions puts you in line for director-track consideration. Building a portfolio of end-to-end ML projects and pursuing a Certified Analytics Professional credential adds measurable edge when competing for first-time director roles.
Where can I find and apply to data science director jobs in Pennsylvania?
You can find and apply to data science director jobs in Pennsylvania on Migrate Mate, which lists current openings from employers actively hiring in the state. Search the available roles, identify the ones that match your experience and target industry, and apply directly to the positions that fit.
See All 24 Data Science Director Jobs in Pennsylvania
Find roles in Pennsylvania that match your experience and apply in just a few clicks.
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