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Data Science Jobs in Washington, PA (NOW HIRING)

Cmu

Data Scientist

Pittsburgh, PA

If you are a data science or statistics expert with an interest in cybersecurity, we want to hear from you! Requirements: * BS in data science, machine learning, computer science, statistics, or ...

Carnegie Mellon University

Data Scientist

Pittsburgh, PA · On-site

Required : • BS in data science, machine learning, computer science, statistics, or related highly-quantitative discipline with eight (8) years of experience or equivalent combination of training ...

Epistemix

Data Scientist

Pittsburgh, PA · Remote

Follow advancements in data science, machine learning, and healthcare analytics Qualifications * Commitment to understanding customer needs and helping them achieve goals * Creative mindset with a ...

Cmu

Senior Data Scientist

Pittsburgh, PA · On-site

If you are a data science or statistics expert with an interest in cybersecurity, we want to hear from you! Requirements: * BS in data science, machine learning, computer science, statistics, or ...

Cmu

Associate Data Scientist

Pittsburgh, PA · On-site

$57K - $57K/yr

If you are a data science or statistics expert with an interest in cybersecurity, we want to hear from you! Requirements: * BS in data science, machine learning, computer science, statistics, or ...

Air

Data Scientist

Pittsburgh, PA · On-site

Your role on the Data Science team will be primarily focused on our large datasets, and you will design and implement scalable statistical systems based on your analysis. You will have the ...

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All JobsData Science JobsData Science Jobs in Washington, PA

Data Science information

See Washington, PA salary details

$34.8K

$114.1K

$182.6K

How much do data science jobs pay per year?

As of Jul 29, 2026, the average yearly pay for 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.

Is data science a good career?

Data science is a growing field with high demand for professionals skilled in statistics, programming, and data analysis tools like Python and R. It offers competitive salaries, diverse industry applications, and opportunities for advancement, making it a strong career choice for those with relevant skills and education.

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.

Is 40 too late for data science?

Data science is a field open to individuals of all ages, and many professionals transition into it later in their careers. Success often depends on acquiring relevant skills such as programming, statistics, and machine learning, which can be learned through online courses, bootcamps, or degrees regardless of age.

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 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 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.

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.

What work do you do as a Data Scientist?

A Data Scientist analyzes large datasets to extract insights, build predictive models, and inform business decisions. They use programming languages like Python or R, and tools such as SQL and machine learning frameworks, often working in collaborative environments with data engineers and analysts.

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.
More about Data Science jobs
What are the most commonly searched types of Data Science jobs in Washington, PA? The most popular types of Data Science jobs in Washington, PA are:
What are popular job titles related to Data Science jobs in Washington, PA? For Data Science jobs in Washington, PA, the most frequently searched job titles are:
What job categories do people searching Data Science jobs in Washington, PA look for? The top searched job categories for Data Science jobs in Washington, PA are:
What cities near Washington, PA are hiring for Data Science jobs? Cities near Washington, PA with the most Data Science job openings:
Data Science jobs near you
Infographic showing various Data Science job openings in Washington, PA as of July 2026, with employment types broken down into 50% Full Time, and 50% Contract. Highlights an 50% In-person, and 50% Remote 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 • On-site

Full-time

Posted 8 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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