ZipRecruiter

Log In

1

Data Science Jobs in Carnegie, PA (NOW HIRING)

System One

Research Data Scientist

Pittsburgh, PA · On-site

D. preferred) in Data Science, Statistics, Computer Science, or a related quantitative field * 3+ years of experience in data analysis, statistical modeling, or computational work * Strong expertise ...

Markon

Computer/Data Scientist

West Mifflin, PA

$120K - $145K/yr

The successful candidate will advance AI and data science integration to improve safety, efficiency, and knowledge management within mission-critical engineering environments. * Design, develop, and ...

Markon

Computer/Data Scientist

West Mifflin, PA · On-site

$128K - $145K/yr

The successful candidate will advance AI and data science integration to improve safety, efficiency, and knowledge management within mission-critical engineering environments. Responsibilities

Markon

Computer/Data Scientist

West Mifflin, PA · On-site

$120K - $145K/yr

The successful candidate will advance AI and data science integration to improve safety, efficiency, and knowledge management within mission-critical engineering environments. Responsibilities

Duolingo

Senior Data Scientist, User Growth

Pittsburgh, PA · On-site

$182K - $247K/yr

The ideal candidate combines deep technical fluency in data science and machine learning with exceptional communication skills and an acute product sense. They can identify the right questions to ask ...

Alcoa

Senior AI & Data Scientist

Pittsburgh, PA · Hybrid

This is a unique opportunity to apply advanced AI and data science techniques to solve complex business challenges across Alcoa's Operations and Enterprise functions while helping shape the future of ...

New

previous pagenext page

Showing results 21-40

All JobsData Science JobsData Science Jobs in Carnegie, PA

Data Science information

See Carnegie, PA salary details

$36K

$117.7K

$188.4K

How much do data science jobs pay per year?

As of Sep 4, 2026, the average yearly pay for data science in Carnegie, PA is $117,691.00, according to ZipRecruiter salary data. Most workers in this role earn between $94,400.00 and $130,400.00 per year, depending on experience, location, and employer.

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 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.

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.

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 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.

Is a data scientist in high demand?

Data scientists are in high demand across many industries due to the increasing reliance on data-driven decision making. The role requires skills in programming, statistics, and machine learning, and job growth is expected to continue as organizations expand their data capabilities.

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.
More about Data Science jobs

What are the most commonly searched types of Data Science jobs in Carnegie, PA?

The most popular types of Data Science jobs in Carnegie, PA are:

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

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

Data Science jobs near you
Infographic showing various Data Science job openings in Carnegie, PA as of August 2026, with employment types broken down into 1% As Needed, 85% Full Time, 11% Part Time, and 3% Contract. Highlights an 84% Physical, 4% Hybrid, and 12% Remote job distribution, with an average salary of $117,691 per year, or $56.6 per hour.

Research Data Scientist

System One

Pittsburgh, PA • On-site

Full-time

Re-posted 4 days ago

Job description

Title: Research Data Scientist Location: Onsite, Pittsburgh, PA 15213 Type: Direct-Hire/Permanent Hours: Standard business hours Start: May Overview: Join a cutting-edge lab to discover novel therapeutics that is seeking a highly motivated Data Scientist to provide advanced analytical and computational support for complex research and data-driven initiatives. This role focuses on developing data analysis pipelines, statistical models, and machine learning approaches to support the integration, interpretation, and visualization of diverse datasets. The position will contribute to building scalable, reproducible data frameworks that enable insights, predictive modeling, and informed decision-making. Responsibilities:

  • Design and implement scalable data analysis pipelines for structured and unstructured datasets
  • Develop and apply statistical models to analyze trends, patterns, and key outcomes
  • Build and deploy machine learning models for predictive analytics and pattern recognition
  • Perform integrative analysis across multiple data sources and modalities
  • Collaborate with stakeholders to support study design, data strategy, and analytical approaches
  • Establish and maintain reproducible workflows, including data preprocessing, quality control, and version control
  • Develop data organization standards and reporting frameworks
  • Generate clear data visualizations, dashboards, and analytical summaries
  • Contribute to technical documentation, reports, and presentations
  • Support data infrastructure development for efficient storage, access, and processing
  • Partner with cross-functional teams to align data solutions with project goals

Requirements:

  • Master’s degree (Ph.D. preferred) in Data Science, Statistics, Computer Science, or a related quantitative field
  • 3+ years of experience in data analysis, statistical modeling, or computational work
  • Strong expertise in statistical analysis and data interpretation
  • Proficiency in programming languages such as Python or R
  • Experience working with large, complex datasets
  • Experience building reproducible data workflows and pipelines
  • Strong analytical, problem-solving, and communication skills
  • Ability to work both independently and collaboratively

Preferred Qualifications

  • Ph.D. in a quantitative or computational discipline
  • Experience with machine learning or advanced modeling techniques
  • Experience integrating data from multiple sources or systems
  • Familiarity with data visualization tools and techniques
  • Experience with data infrastructure, cloud platforms, or big data tools
  • Exposure to analytical work in research or technical environments
  • Experience contributing to technical reports, publications, or presentations

#M3 #LI-KM2 Ref: #558-Scientific

System One logo

About System One

Sourced by ZipRecruiter

System One helps employers get work done more efficiently and economically without compromising quality. Over our 35+ year history, we've helped connect thousands of talented people with innovative companies. The excitement of a perfect fit motivates us every single day.

Industry

Business consulting services and recruiting and staffing services

Company size

5,001 - 10,000 Employees

Headquarters location

Pittsburgh, PA, US

View All System One Jobs