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Data Science Jobs in Philadelphia, PA (NOW HIRING)

ICON

Director, Feasibility Data Science

Blue Bell, PA · On-site

We are currently seeking a Director, FSA Data Science (Feasibility Site Activation) to drive advanced analytics and business transformation across ICON's Feasibility, Study Start-up and Activation ...

CardWorks

Director, Data Science

Wilmington, DE

The Director, Data Science - Competitive Intelligence, AI Insights & Strategic Analytics is a highly visible leadership role responsible for transforming internal, external, structured, and ...

RIT Solutions, Inc.

Data Scientist

Malvern, PA · On-site

The role involves working with LLMs and GenAI, developing AI/ML solutions, and requires deep knowledge of data science principles and techniques. Responsibilities : • Direct experience working with ...

Rutgers University

Lecturers, Data Science

Camden, NJ · On-site

$2.7K/wk

Position Details Position Information Recruitment/Posting Title Lecturers, Data Science Department Mathematics Salary Details A minimum of $2,777 per credit Offer Information The final salary offer ...

Dlapiper

Data Scientist

Wilmington, DE · On-site +1

Prioritizes, scopes and manages data science projects for internal stakeholders and clients. * Mines and analyzes data to drive optimization and improvement of product development, marketing ...

Dlapiper

Data Scientist

Philadelphia, PA · On-site +1

Prioritizes, scopes and manages data science projects for internal stakeholders and clients. * Mines and analyzes data to drive optimization and improvement of product development, marketing ...

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Showing results 21-40

All JobsData Science JobsData Science Jobs in Philadelphia, PA

Data Science information

See Philadelphia, PA salary details

$37.8K

$123.9K

$198.3K

How much do data science jobs pay per year?

As of Sep 2, 2026, the average yearly pay for data science in Philadelphia, PA is $123,854.00, according to ZipRecruiter salary data. Most workers in this role earn between $99,400.00 and $137,200.00 per year, depending on experience, location, and employer.

What is data science?

Data science is an interdisciplinary field that uses scientific methods, algorithms, and systems to extract insights and knowledge from structured and unstructured data. It combines skills from statistics, computer science, and domain expertise to analyze and interpret complex data sets. Data scientists work with large amounts of data to identify patterns, make predictions, and help organizations make data-driven decisions.

What does a data scientist do?

As a Data Scientist, you are qualified to work in such diverse fields as research and development, politics, advertising and marketing, technology, healthcare, government, and higher education as well as multiple others. In general, your duties and responsibilities will be to compile and analyze relevant statistics and turn those numbers into algorithms that reveal insights that can be used by other researchers in their areas of study. Data Science can reveal things like consumer buying habits or the likelihood of success for a course of action. Other duties might vary, depending on your unique field of specialty. Related areas in which a Data Scientist might wish to focus include work as a Data Analyst, Machine Learning Engineer, and Project Manager.

What are the key skills and qualifications needed to thrive as a data scientist, and why are they important?

To thrive as a Data Scientist, you need a strong background in statistics, programming (often Python or R), and data analysis, usually supported by a degree in a quantitative field. Familiarity with machine learning libraries (like scikit-learn or TensorFlow), big data tools (such as Hadoop or Spark), and data visualization platforms is typically required. Critical thinking, problem-solving, and effective communication are vital soft skills for translating complex data insights into actionable business strategies. These skills and qualities are essential for extracting value from data, driving informed decisions, and effectively collaborating with multidisciplinary teams.

What are some common challenges faced by data scientists when working with real-world datasets?

Data scientists often encounter challenges such as missing or inconsistent data, unstructured formats, and noisy information in real-world datasets. Cleaning and preprocessing data to ensure its quality can be time-consuming but is critical for building accurate models. Additionally, data scientists may work closely with domain experts and other team members to better understand the data's context and ensure their analyses align with business objectives. Overcoming these challenges requires strong problem-solving skills and effective collaboration within cross-functional teams.

What is the difference between Data Science vs Data Analyst?

AspectData ScienceData Analyst
Required skillsStatistics, programming (Python, R), machine learningData visualization, SQL, basic statistics
Work environmentDeveloping models, predictive analytics, researchReporting, data cleaning, descriptive analysis
Tools usedPython, R, Jupyter, TensorFlowExcel, SQL, Tableau, Power BI
Industry usageTech, finance, healthcare, e-commerceRetail, marketing, finance, healthcare

Data Science and Data Analyst roles often overlap but differ mainly in scope. Data Scientists focus on building predictive models and advanced analytics, requiring programming and machine learning skills. Data Analysts primarily handle data cleaning, reporting, and visualization. Both roles are essential in data-driven industries, but Data Science is more technical and research-oriented, while Data Analysis emphasizes interpreting data for business insights.

Is a data scientist in high demand?

Data scientists are in high demand across many industries due to the increasing reliance on data-driven decision making. The role requires skills in programming, statistics, and machine learning, and job growth is expected to continue as organizations expand their data capabilities.

What jobs can a data scientist do?

A data scientist can work in roles such as data analyst, machine learning engineer, data engineer, or business intelligence analyst. These roles involve analyzing large datasets, developing predictive models, and using tools like Python, R, and SQL to support decision-making across various industries.
More about Data Science jobs

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

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

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

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

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

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

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

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

Data Science jobs near you
Infographic showing various 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 $123,854 per year, or $59.5 per hour.

Director, Feasibility Data Science

ICON

Blue Bell, PA • On-site

Full-time

Medical, Dental, Vision, Life, Retirement

Re-posted 9 days ago

Job description

Director SSU
ICON is a global healthcare intelligence and clinical research organisation united by a mission to bring new medicines and treatments to patients faster.
As a values-driven organisation, integrity, collaboration, agility, and inclusion are at the heart of how we work and interact with each other, customers, patients and suppliers.
ICON plc is a world-leading healthcare intelligence and clinical research organization. We're proud to foster an inclusive environment driving innovation and excellence, and we welcome you to join us on our mission to shape the future of clinical development.
We are currently seeking a Director, FSA Data Science (Feasibility Site Activation) to drive advanced analytics and business transformation across ICON's Feasibility, Study Start-up and Activation (FSA) teams. In this role, you will lead the design and delivery of advanced analytics and data science capabilities that support clinical trial feasibility, protocol optimization, study planning, country and site strategy, enrollment forecasting, and related decision support across the clinical development lifecycle. Partnering with cross-functional leaders, you will translate complex clinical and operational questions into scalable analytical solutions, reusable methods, and decision-ready insights. This position also involves leading a high-performing team, shaping analytical standards and governance, and advancing a modern, technology-enabled approach to study planning and feasibility.
What you will be doing
  • Leading and inspiring a data science team to deliver actionable insights that improve performance, quantify value, and enable smarter decisions.
  • Building a strategic analytics roadmap and deliver high-impact solutions-forecasting, risk prediction, scenario planning, and optimization to improve cycle time and outcomes.
  • Establishing best practices for analytics delivery, governance, and model lifecycle management to support scalable and reliable insights.
  • Improving data foundations by collaborating with platform and data teams-strengthening data quality, access, definitions, and automation.
  • Partnering with functional leaders to define problems, shape solutions, and embed insights into day-to-day decision-making and operational processes.
  • Communicating with clarity and influence-turning complex analysis into compelling narratives and recommendations leadership and sponsors.

Your profile
  • Bachelor's degree in Statistics, Biostatistics, Data Science, Computer Science, Mathematics, Epidemiology, Operations Research, Biomedical Informatics, Engineering, or a related field.
  • Advanced degree preferred, preferably Master's or PhD in a quantitative, computational, or health-related discipline.

  • Significant experience in data science, advanced analytics, biostatistics, or quantitative strategy within CRO, pharmaceutical, biotechnology, healthcare, or clinical research settings.
  • Track record of delivering advanced analytics solutions that changed business performance, ideally in complex operational environments.
  • Experience leading teams and developing talent; comfortable coaching, setting direction, and building a high-performing culture.
  • Strong knowledge of statistical analysis, predictive modeling, machine learning, simulation, optimization, and data interpretation.
  • Proficiency in relevant analytical and programming tools such as Python, R, SQL, and related platforms.
  • Confident stakeholder partner with exceptional communication skills and the ability to influence across functions and levels.

Employment with ICON is contingent upon having the legal right to work in the country where the role is based.
Rewards & Benefits
ICON offers a competitive and comprehensive total rewards package designed to support your health, wellbeing, and career development.
Benefits may include:
  • Competitive base salary and performance related incentives
  • Health and wellbeing programmes including medical, dental, and vision coverage where applicable
  • Retirement and pension plans
  • Life assurance and disability coverage
  • Employee assistance programmes and wellbeing resources
  • Learning and development opportunities through structured training and career pathways

Benefits may vary depending on role and location.
Visit our careers site to read more about the benefits ICON offers.
Inclusion and Accessibility
ICON is an equal opportunity employer. We are committed to building an inclusive and accessible workplace where everyone feels valued and supported.
If you require reasonable accommodations during the recruitment process, please let us know or submit a request here.
Are you a current ICON Employee? Please click here to apply

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