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Data Science Manager Jobs in Washington, PA (NOW HIRING)

Pattern Data

Data Solutions Analyst

Pittsburgh, PA

$80K - $110K/yr

We help leading law firms automate case analysis, accelerate settlement decisions, and manage high ... Bachelor's degree in Economics, Data Science/Analysis, Computer Science, or a related field, or ...

Pattern Data

Data Solutions Analyst

Pittsburgh, PA · On-site

$80K - $110K/yr

We help leading law firms automate case analysis, accelerate settlement decisions, and manage high ... Bachelor's degree in Economics, Data Science/Analysis, Computer Science, or a related field, or ...

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All JobsData Science JobsData Science Manager JobsData Science Manager Jobs in Washington, PA

Data Science Manager information

See Washington, PA salary details

$28.8K

$90.3K

$159.8K

How much do data science manager jobs pay per year?

As of Sep 3, 2026, the average yearly pay for data science manager in Washington, PA is $90,273.00, according to ZipRecruiter salary data. Most workers in this role earn between $61,300.00 and $116,600.00 per year, depending on experience, location, and employer.

What is a data science manager?

A Data Science Manager leads a team of data scientists to develop and implement data-driven solutions for business challenges. They oversee project timelines, ensure the quality of data analysis, and collaborate with cross-functional teams to drive decision-making. In addition to technical expertise, they require strong leadership, communication, and strategic thinking skills. Their role bridges the gap between data science initiatives and business objectives, ensuring the team's work aligns with company goals.

What does a data science manager do?

As a Data Science Manager, your daily responsibilities typically include overseeing a team of data scientists and analysts, setting project priorities, and ensuring the timely delivery of data-driven solutions. You will often collaborate with cross-functional teams, such as engineering, product, and business stakeholders, to define problems, scope solutions, and communicate analytical insights. Your role also involves mentoring team members, reviewing code and analysis, and driving best practices in data science methodologies. This position requires balancing technical project oversight with team leadership and strategic business alignment.

What skills and qualifications are needed to be a data science manager?

To thrive as a Data Science Manager, you need strong analytical skills, experience in machine learning and data analytics, and a background in statistics or computer science, often supported by an advanced degree. Familiarity with tools like Python, R, SQL, cloud platforms, and experience managing data science projects are highly valued, and certifications such as Certified Analytics Professional (CAP) can be advantageous. Excellent leadership, project management, and communication skills are crucial for guiding teams and translating technical findings for stakeholders. These abilities ensure effective team performance, successful project delivery, and the alignment of data science initiatives with organizational goals.

What is the role of a data science manager?

A data science manager oversees data science teams, guiding project priorities, setting strategic goals, and ensuring the effective use of data analysis and modeling techniques. They coordinate with stakeholders, manage resources, and often have expertise in programming, statistical methods, and data tools to support decision-making processes.

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 job categories do people searching Data Science Manager jobs in Washington, PA look for?

The top searched job categories for Data Science Manager jobs in Washington, PA are:

What cities near Washington, PA are hiring for Data Science Manager jobs?

Cities near Washington, PA with the most Data Science Manager job openings:

Data Science Manager jobs near you
Infographic showing various Data Science Manager job openings in Washington, PA as of August 2026, with employment types broken down into 86% Full Time, 12% Part Time, and 2% Contract. Highlights an 82% Physical, 2% Hybrid, and 16% Remote job distribution, with an average salary of $90,273 per year, or $43.4 per hour.

Computational Data Scientist II

University of Pittsburgh

Pittsburgh, PA • On-site

Full-time

Re-posted 14 days ago

Job description

The Bioinformatics Core within the Division of Health Informatics at UPMC Children's Hospital of Pittsburgh is seeking a computational biologist or data scientist to develop and apply machine learning and deep learning methods for omics-driven biomedical research. This individual will work closely with faculty and collaborators across multiple pediatric research programs to support biologically grounded, translationally relevant research. Equivalent relevant work experience may be substituted for degree requirement. This position is located at UPMC Children's Hospital of Pittsburgh in Lawrenceville. PA Child Abuse History Clearance, PA State Police Criminal Record Check, and FBI Criminal Record Check will be required prior to the start of employment. Also, a current TB test will be required as a condition of employment. EEO/AA/M/F/Vets/Disabled.
Minimum Qualifications
Applicants should have an MS or PhD in computational biology, bioinformatics, computer science, statistics, data science, biomedical informatics, or a related quantitative field.
The successful candidate should have strong programming skills in Python and/or R, with experience using libraries such as PyTorch, TensorFlow, scikit-learn, or comparable tools. Experience in applying computational or statistical modeling to biomedical or biological datasets is expected.
Prior experience working with single-cell, spatial omics, or related high-dimensional omics datasets is highly desirable. Candidates should be strong critical thinkers who can translate ideas into completed analyses, models, or tools; manage contributions across multiple collaborative research projects; work independently and as part of multidisciplinary teams; and demonstrate strong oral and written communication skills.
Preferred qualifications include:
• Demonstrated experience designing and implementing models for high-dimensional biological data, beyond routine application of existing analysis pipelines.
• Hands-on experience with graph neural networks or perturbation modeling.
• Experience integrating omics data with clinical data sources such as electronic health records (EHR).
• Evidence of independent technical contribution, such as first-author or co-author publications, preprints, conference presentations, open-source software, deployed tools, analytical pipelines, or a relevant project portfolio.

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