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Relocation Package Data Science Jobs in Philadelphia, PA

Data Science Analyst Locations: Wilmington, DE (Hybrid) As an Associate Data Science Analyst, you ... That's why we've packed our comprehensive benefits package for full- and some part-time employees ...

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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 ...

Data Science - (College of Health and Sciences) Opening Date: 01/25/2024 Join our vibrant community ... We offer a complete benefits package to full-time faculty and staff including healthcare coverage ...

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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 May 29, 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 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.

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 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.

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:

Data Science Analyst

OneMain Financial

Wilmington, DE • Hybrid

Full-time

Medical, Dental, Vision, Life, Retirement, PTO

Posted 2 days ago


OneMain Financial rating

7.6

Company rating: 7.6 out of 10

Based on 95 frontline employees who took The Breakroom Quiz

106th of 138 rated financial services


Job description

Data Science Analyst

Locations: Wilmington, DE (Hybrid)

As an Associate Data Science Analyst, you'll develop the technical skills to build the machine learning systems that drive our company and produce great customer outcomes. You'll get hands-on experience as you apply your talents, creativity, and passion to create innovative solutions to real-world data science use cases. No matter the projects, you'll have the opportunity to explore, while learning from experts in consumer lending in a close-knit team-oriented environment.

This role will provide exposure across multiple disciplines to accelerate your career growth.

In the Role:

  • Apply diverse statistical and machine learning techniques to analyze a variety of datasets to solve complex, unstructured business problems.
  • Actively contribute to our team's vibrant culture through sharing knowledge, helping peers, and generally being a great person to work with.
  • Develop creative technical solutions to improve the company's decision making, the customer's experience, and shareholder returns.
  • Evaluate non-traditional data sources to see if they result in better underwriting decisions, saving our hard-working customers millions in interest payments.
  • Mine the "digital exhaust" of our marketing campaigns to identify new populations who would benefit from our products.
  • Partner with our operations teams to surface data insights that will allow our thousands of branch staff to better serve our customers.

Requirements:

  • Current post-graduate degree student in a quantitative discipline (Engineering, Data Science, Statistics, Biostatistics, Physics, Economics, Operations Research, or Computer Science)
  • Outstanding communication skills, including the ability to explain technical topics and concepts to a non-technical audience.
  • Proven experience (in an academic, athletic, volunteer, or employment context) working with teams of diverse individuals to deliver complex projects.
  • Experience in use of open-source machine learning libraries (Python or R).
  • Innovative and capable of developing creative solutions to complex, data-driven problems.

Preferred:

  • Successful candidates will possess strong analytic, strategic thinking, communications, and leadership skills.
  • They will also demonstrate curiosity, creative problem solving, integrative business thinking, teamwork, and bias for action.
  • Just as importantly, they will be enthusiastic learners who want to tackle real-world challenges.

About You:

  • You are ready to launch your data science career.
  • You want to create solutions to help hard-working Americans improve their financial lives.
  • You want to work on a modern cloud-based data infrastructure.
  • You want to directly learn from some of the best data science and business leaders in consumer finance.
  • You want to be part of a team which is nimble, collaborative, diverse, and fun.

Who we Are:

OneMain Financial (NYSE: OMF) is the leader in offering nonprime customers responsible access to credit and is dedicated to improving the financial well-being of hardworking Americans. Since 1912, we've looked beyond credit scores to help people get the money they need today and reach their goals for tomorrow. Our growing suite of personal loans, credit cards and other products help people borrow better and work toward a brighter future.

Driven collaborators and innovators, our team thrives on transformative digital thinking, customer-first energy and flexible work arrangements that grow lives, careers and our company. At every level, we're committed to an inclusive culture, career development and impacting the communities where we live and work. Getting people to a better place has made us a better company for over a century. There's never been a better time to shine with OneMain.

Because team members at their best means OneMain at our best, we provide opportunities and benefits that make their health and careers a priority. That's why we've packed our comprehensive benefits package for full- and some part-time employees with:

  • Health and wellbeing options including medical, prescription, dental, vision, hearing, accident, hospital indemnity, and life insurances
  • Up to 4% matching 401(k)
  • Employee Stock Purchase Plan (10% share discount)
  • Tuition reimbursement
  • Paid time off (15 days vacation per year)
  • Paid sick leave as determined by state or local ordinance, prorated based on start date
  • Paid holidays (11 days per year, based on start date)
  • Paid volunteer time (3 days per year, prorated based on start date)
  • Most Loved Workplace 2022, 2023, and 2024

OneMain Holdings, Inc. is an Equal Employment Opportunity (EEO) employer. Qualified applicants will receive consideration for employment without regard to age, ancestry, citizenship status, color, creed, culture, disability, ethnicity, gender, gender identity or expression, genetic information or history, marital status, military status, national origin, nationality, pregnancy, race, religion, sex, sexual orientation, socioeconomic status, transgender or on any other basis protected by law.


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