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Relocation Package Data Science Jobs in Philadelphia, PA

We are currently seeking a Director, FSA Data Science (Feasibility Site Activation) to drive ... Rewards & Benefits ICON offers a competitive and comprehensive total rewards package designed to ...

Benefits Rutgers provides a comprehensive benefits package to eligible employees. The specific ... Employee discount programs Posting Summary The Graduate Program in Data Science at Rutgers ...

Benefits Rutgers provides a comprehensive benefits package to eligible employees. The specific ... Sciences, Department of Data Science, seeks new lecturers to teach various topics within the ...

Our Total Rewards Package ensures that employees get the same big love we give our customers. All ... You'll collaborate with engineers, data scientists, product managers, and other stakeholders to ...

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Relocation Package Data Science information

See Philadelphia, PA salary details

$37.8K

$123.9K

$198.3K

How much do relocation package data science jobs pay per year?

As of Jul 17, 2026, the average yearly pay for relocation package 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 a relocation package for data science jobs?

A relocation package for data science jobs is a set of benefits provided by employers to help new hires move to a new location for work. These packages typically cover expenses such as moving costs, temporary housing, travel expenses, and sometimes assistance with finding permanent housing. The goal is to reduce the financial and logistical burden of relocating so that data scientists can start their new roles smoothly. The specifics of a relocation package can vary widely between companies, locations, and job levels.

How does a typical relocation package support data science professionals moving to a new city or country for a role?

A typical relocation package for data science professionals often includes assistance with moving expenses, temporary housing, and support with visa or work permit processes. You may also receive help with finding permanent accommodation and settling-in services, such as local orientation or language courses. These benefits are designed to ease the transition so you can focus on your new role, collaborate effectively with your team, and integrate quickly into the organization. Relocation packages vary by company, so it's a good idea to clarify the details during the hiring process.

What are the key skills and qualifications needed to thrive as a Data Scientist, especially when utilizing relocation packages, and why are they important?

To thrive as a Data Scientist, you need strong analytical skills, proficiency in statistics, programming (typically Python or R), and a relevant degree such as in computer science or mathematics. Experience with machine learning frameworks, data visualization tools, and familiarity with cloud platforms and big data systems are commonly required, while certifications like AWS Certified Data Analytics or Google Data Engineer can be advantageous. Excellent problem-solving, communication, and adaptability skills help you collaborate across diverse teams and adjust to new environments, especially during relocation. These skills ensure you can extract actionable insights from complex data, integrate smoothly into new workplaces, and drive impactful business decisions.

What is the difference between Relocation Package Data Science vs Data Analyst?

AspectRelocation Package Data ScienceData Analyst
Required CredentialsBachelor's or Master's in Data Science, Computer Science, or related fieldsBachelor's degree in Statistics, Mathematics, or related fields
Work EnvironmentTech companies, consulting firms, or finance sectors with complex data projectsBusiness, marketing, or finance departments analyzing data for insights
Employer & Industry UsageCommon in industries offering relocation packages for specialized rolesWidely used across industries for routine data analysis tasks

Relocation Package Data Science roles typically require advanced degrees and focus on developing predictive models and algorithms, often in tech or finance sectors. Data Analysts usually have similar educational backgrounds but focus on interpreting data and generating reports. Both roles may involve relocation, but Data Science positions tend to be more specialized and technical.

What are popular job titles related to Relocation Package Data Science jobs in Philadelphia, PA? For Relocation Package Data Science jobs in Philadelphia, PA, the most frequently searched job titles are:
What job categories do people searching Relocation Package Data Science jobs in Philadelphia, PA look for? The top searched job categories for Relocation Package Data Science jobs in Philadelphia, PA are:
What cities near Philadelphia, PA are hiring for Relocation Package Data Science jobs? Cities near Philadelphia, PA with the most Relocation Package Data Science job openings:

Director, Feasibility Data Science

410 ICR United States USA

Blue Bell, PA

Full-time

Posted yesterday

New


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