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Relocation Package Data Science Jobs in Washington, PA

PPG Industries, Inc.

Data Scientist

Pittsburgh, PA · On-site

Relocation will be provided. Key Responsibilities * Devising and applying state-of-the-art machine ... S. in Data Science, Computer Science, Engineering, Chemistry, Physics, or related field * M.S ...

Cmu

Data Scientist

Pittsburgh, PA

... science, and/or AI & machine learning * Deep understanding of statistical modeling techniques and advanced data analytics * Proficient with at least one mathematical/statistical programming package ...

Carnegie Mellon University

Data Scientist

Pittsburgh, PA · On-site

... science, and/or AI & machine learning * Deep understanding of statistical modeling techniques and advanced data analytics * Proficient with at least one mathematical/statistical programming package ...

Carnegie Mellon University

Data Scientist

Pittsburgh, PA · On-site

... science, and/or AI & machine learning * Deep understanding of statistical modeling techniques and advanced data analytics * Proficient with at least one mathematical/statistical programming package ...

Cmu

Senior Data Scientist

Pittsburgh, PA

... science, and/or AI & machine learning * Deep understanding of statistical modeling techniques and advanced data analytics * Proficient with at least one mathematical/statistical programming package ...

Cmu

Associate Data Scientist

Pittsburgh, PA

$57K - $57K/yr

... science, and/or AI & machine learning * Deep understanding of statistical modeling techniques and advanced data analytics * Proficient with at least one mathematical/statistical programming package ...

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All JobsRelocation Package Data Science JobsRelocation Package Data Science Jobs in Washington, PA

Relocation Package Data Science information

See Washington, PA salary details

$34.8K

$114.1K

$182.6K

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

As of Jul 28, 2026, the average yearly pay for relocation package data science in Washington, PA is $114,056.00, according to ZipRecruiter salary data. Most workers in this role earn between $91,500.00 and $126,400.00 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 cities near Washington, PA are hiring for Relocation Package Data Science jobs? Cities near Washington, PA with the most Relocation Package Data Science job openings:
Relocation Package Data Science jobs near you
Infographic showing various Relocation Package Data Science job openings in Washington, PA as of June 2026, with employment types broken down into 88% Full Time, and 12% Contract. Highlights an 100% In-person job distribution, with an average salary of $114,056 per year, or $54.8 per hour.

Marketing Data Science Advisor

Federal Express Corporation

Pittsburgh, PA

Full-time

Posted 6 days ago

Job description

The individual will provide expertise and leadership in handling vast amounts of data, enterprise analytics, statistical modeling, and AI/ML initiatives. They will utilize their knowledge of customer data, market dynamics, and internal business processes to develop analytical solutions for complex business problems.

Essential Functions

  • Creates and executes analytical solutions from concept to production, communicating results to diverse audiences, and providing thought leadership in advanced modeling and analysis.
  • Provides thought leadership and leads cross-functional teams in advanced descriptive, diagnostic, predictive and prescriptive modeling, advanced statistical analysis, and other quantitative analysis of complex business situations.
  • Works on multiple complex assignments concurrently.
  • Makes advanced use of current and emerging technologies and advanced use of data, statistical and quantitative analysis, explanatory and high-complexity predictive modeling, and fact-based management to evaluate trends and develop actionable insights and to drive recommendations to business partners and management.
  • Provides thought leadership and leads cross-functional teams in advanced descriptive, diagnostic, predictive and prescriptive modeling, advanced statistical analysis, and other quantitative analysis of complex business situations.
  • Provides consultation to management on a regular basis and formally prepares and presents recommendations to leadership.
  • Mentors less senior staff.
  • Perform other duties as assigned.

Preferred Qualifications

  • The individual will provide expertise and leadership in handling vast amounts of data, enterprise analytics, statistical modeling, and AI/ML initiatives.
  • They will utilize their knowledge of customer data, market dynamics, and internal business processes to develop analytical solutions for complex business problems.

Minimum Education

Master's degree in data science, analytics, business, mathematics, economics, computer science or other quantitative fields such as engineering/operations research. Directly related advanced degrees may offset experience requirements.

Minimum Experience

Three (3) years work experience in data science, analytics, business, mathematics, economics, computer science, or other quantitative fields such as engineering/operations research, in an analytical, quantitative, or technical role required. Two (2) of those years of experience or coursework should be with the following skills (skills can be gained concurrently with education): computer-aided decision support (utilize computer programs or packages to analyze data and support business decisions), or any analytical/modeling language (e.g. Python, R, SAS, or SQL), and data visualization tools like Tableau, Power BI, Spotfire, etc. will be considered equivalent.

Knowledge, Skills and Abilities

  • Advanced descriptive, diagnostic, predictive and prescriptive modeling knowledge and skills.
  • Strong problem-solving abilities.
  • Analytical/modeling language knowledge.
  • Advanced statistical analysis knowledge, and other quantitative analysis of complex business situations.
  • Ability to communicate highly complex information in an understandable manner to both technical and non-technical audiences at all levels.
  • Strong collaboration and project leadership skills.
  • Ability to mentor lower levels.

Domicile

This is a hybrid position located in Memphis, TN, Plano, TX or Pittsburgh, PA. Candidates must live within 50 miles of the campus location. Employees will be required to work at the FedEx campus location several times per week.


Preferred Qualifications:

Pay Transparency:

Pay:

Additional Details: Posting closes on: 07/28/2026 at 4:00 PM CST / 5:00 PM EST.


For details on our comprehensive benefits, click here.


Federal Express Corporation is an Equal Opportunity Employer including, Vets/Disability.

Reasonable accommodations are available for qualified individuals with disabilities throughout the application process. Applicants who require reasonable accommodations in the application or hiring process should contact recruitmentsupport@fedex.com.

Applicants have rights under Federal Employment Laws:

  • Know Your Rights
  • Pay Transparency
  • Family and Medical Leave Act (FMLA)
  • Employee Polygraph Protection Act

E-Verify Program Participant: Federal Express Corporation participates in the Department of Homeland Security U.S. Citizenship and Immigration Services' E-Verify program (For U.S. applicants and employees only). Please click below to learn more about the E-Verify program:

  • E-Verify Notice (bilingual)
  • Right to Work Notice (English) / (Spanish)
Employment Type: FULL_TIME

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