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Computer Science Data Science Jobs in Pennsylvania

Owns complex data science initiatives to support data-driven business decision making. Design and ... MS/Ph.D. degree in Statistics, Computer Science, Operations Research, Applied Mathematics ...

D. or M.S. in Computer Science, Computational Biology, Computational Chemistry, Bioinformatics ... Computational Biology, Computational Chemistry, Data Engineering, Data Modeling, Data Science, Data ...

Associate Data Scientist

Pittsburgh, PA · On-site

$57K - $57K/yr

Requirements: * BS in data science, machine learning, computer science, statistics, or related highly-quantitative discipline with three (3) years of experience or equivalent combination of training ...

Bachelor's or Master's degree in Computer Science, Data Engineering, or a related field. Work location can be State College, PA or Reston , VA MINIMUM EDUCATION, WORK EXPERIENCE & REQUIRED ...

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Computer Science Data Science information

See Pennsylvania salary details

$37.6K

$123K

$197K

How much do computer science data science jobs pay per year?

As of Jun 15, 2026, the average yearly pay for computer science data science in Pennsylvania is $123,033.00, according to ZipRecruiter salary data. Most workers in this role earn between $98,700.00 and $136,300.00 per year, depending on experience, location, and employer.

Can a computer scientist work in data science?

Yes, computer scientists often work in data science because they have strong programming, algorithms, and analytical skills essential for data analysis, machine learning, and statistical modeling. Many data scientists have backgrounds in computer science and use tools like Python, R, and SQL to analyze large datasets and develop predictive models.

Is 40 too late for data science?

Computer Science Data Science is a field where individuals can enter at any age, including 40, as long as they develop relevant skills such as programming, statistics, and machine learning. Many professionals successfully transition into data science later in their careers by gaining certifications, building portfolios, and gaining practical experience.

What is the salary of a 2 year experience data scientist?

A data scientist with two years of experience typically earns between $70,000 and $100,000 annually, depending on the industry, location, and skill set. Proficiency in programming languages like Python or R and experience with machine learning tools can influence salary levels.

Is AI replacing data scientists?

AI is transforming the role of data scientists by automating routine tasks such as data cleaning and basic analysis, but it does not replace the need for skilled professionals to interpret complex data, develop models, and make strategic decisions. Data scientists with expertise in machine learning, programming, and domain knowledge remain essential for designing and deploying AI solutions effectively.
What are popular job titles related to Computer Science Data Science jobs in Pennsylvania? For Computer Science Data Science jobs in Pennsylvania, the most frequently searched job titles are:
What job categories do people searching Computer Science Data Science jobs in Pennsylvania look for? The top searched job categories for Computer Science Data Science jobs in Pennsylvania are:
What cities in Pennsylvania are hiring for Computer Science Data Science jobs? Cities in Pennsylvania with the most Computer Science Data Science job openings:
Infographic showing various Computer Science Data Science job openings in Pennsylvania as of June 2026, with employment types broken down into 2% As Needed, 72% Full Time, 22% Part Time, and 4% Contract. Highlights an 85% Physical, 5% Hybrid, and 10% Remote job distribution, with an average salary of $123,033 per year, or $59.2 per hour.

Other

Posted 12 days ago


Job description

Data Science at DHS


At Allegheny County Department of Human Services (DHS), our mission is to improve the welfare of the County's most vulnerable residents. We operate, influence, and fund essential services worth over $1 billion that more than 200,000 residents depend on each year, including treatment for mental health and addiction, homeless housing, and child and older adult protective services. Over the past 20 years, we have built a national reputation for being on the cutting edge of state and local governments using analytics and technology to deliver more effective and efficient public services. While we know much more about the use of analytics and software than when we first started, we still have much to learn. Above all, we are convinced that there remain significant opportunities for data and technology to improve the lives of our clients, and for DHS to extend its leadership role in inspiring governments to make similar investments.


Data Science Manager


We're looking for a manager with a mix of experience or interest in machine learning (predictive modeling) or economics (applied microeconomics and causal inference) to join our data science team as a Data Science Manager. The Data Science Manager will lead and support a small team of data scientists, work to construct software for leveraging nationally recognized, integrated human services data, and partner with world-class academics to help drive research that improves outcomes for our most vulnerable residents. Our bet is that great talent, even in time-limited commitments, can result in a step function improvement in the quality of work in local government.


The data science team owns DHS's measurement problems and predictive models, with a team charter of: (1) creating feedback loops on our performance by learning about the efficacy of programs and interventions and informing DHS's funding commitments; (2) augmenting human judgement to improve operations and optimize constrained resources, such as case worker bandwidth; and (3) developing high quality reusable software that allows us to deliver inference at scale. The Data Science Manager will collaborate closely with our 40-person Analytics team, Technology team, program managers, and senior leadership to help identify what works and why, iterate and experiment with new approaches to service delivery, improve human decision making, build better software, and convert analytics into automated, extensible products.


Strong candidates for the role will be clear, organized thinkers about complicated empirical questions, have a bias toward simplicity over methodological complexity, and possess a sound grasp of the fundamentals in their field. With our nationally recognized integrated data and talented teammates to support empirical work, ideal candidates will be intellectually curious and fearless about tackling difficult, unsolved problems for the department. Candidates should also have experience mentoring or guiding technical staff, supporting project execution, and contributing to team-level standards and practices.


We are looking for someone who:


  • Has a core competency in python and abstract, hierarchical design as well as some experience with statistical and machine learning modeling.
    Has a graduate degree or significant experience in computer science or related field.
    Has a track record of developing high-quality, well-structured, and maintainable software applications.
    Experience with applied research and/or industry experience in building machine learning or causal models to answer real-world problems.
    Balances speed of delivery with upholding high standards on quality.
    Has a desire to develop, test, and QC software to facilitate end-to-end applied research.
    Maintains a flexible approach to problem solving, prioritizing impact over technical complexity.
    Has knowledge of a statistical programming language such as Python, R, or Stata and familiarity with a programming language for querying structured data.
    Has experience providing technical guidance or mentorship, managing team workload, or coordinating cross-functional work.


Application


Resume and/or LinkedIn profile


If you're concerned that you don't have all of the parts of a successful application, we still highly encourage you to apply. Data science is always a healthy mix of modeling and engineering, and we do not expect every candidate to be fully qualified across all subfields.


If hired for a position, candidates would work for Allegheny County, Department of Human Services and be employed byCAI.


"DHS strives to be the kind of place where a diverse mix of talented people want to come to grow and do their best work."


-From the organization's statement on Equity and Inclusion

AN EQUAL OPPORTUNITY EMPLOYER - M/F/V/D