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Remote Data Science Jobs in Pittsburgh, PA (NOW HIRING)

The Synthetic Population Engineer uses cutting edge data science techniques to continuously improve ... We are fully remote, with team members in the United States and Europe. Benefits include: * Equity ...

AI Engineer

Pittsburgh, PA · Remote

  • Medical

  • Retirement

Bachelor's or Master's degree in Computer Science, Artificial Intelligence, Data Science, or a ... We are fully remote, with team members in the United States and Europe. Benefits include: * Equity ...

Sr. Data Engineer (Snowflake)

Pittsburgh, PA · Remote

$117K - $140K/yr

  • Medical

  • Dental

  • Vision

  • Retirement

Remote work from home. * Hours of work and days are generally Monday through Friday. Specific ... Data Ideology is an EEO Employer Powered by JazzHR xJy1oUf539

Senior AI/ML Architect

Pittsburgh, PA · Remote

$68.75 - $92/hr

Our data analytics advisory services enable our customers to transform data into insights by ... Bachelor's degree in Computer Science, Engineering, or equivalent professional experience; AWS ...

Senior Back End Software Engineer

Pittsburgh, PA · Remote

$125K - $165K/yr

  • Medical

  • Retirement

Demonstrated experience or strong understanding of data science orchestration platforms, such as ... We are fully remote, with team members in the United States and Europe. Benefits include: * Equity ...

Market Research Analyst

Pittsburgh, PA · Remote

  • Medical

  • Dental

  • Vision

  • Life

  • Retirement

  • PTO

... data science, social science, or a related field * Strong understanding of survey research ... Travel and educational opportunities This is a remote (work from home) role with preference for ...

Posted today

Showing results 21-40

Remote Data Science information

What are the key skills and qualifications needed to thrive as a remote data scientist, and why are they important?

To thrive as a Remote Data Scientist, you need strong analytical skills, proficiency in statistics, and a solid background in mathematics or computer science, often supported by a relevant degree. Expertise in programming languages such as Python or R, familiarity with machine learning libraries, and experience with cloud-based data platforms are typically required. Excellent communication, self-motivation, and time management skills help you effectively collaborate and deliver results in a remote environment. These skills ensure accurate data analysis, meaningful insights, and successful teamwork despite physical distance.

How do remote data scientists typically collaborate with cross-functional teams to deliver insights?

Remote data scientists often work closely with product managers, engineers, and business analysts using digital collaboration tools such as Slack, Zoom, and project management platforms. Regular virtual meetings, code sharing via Git repositories, and clear documentation are essential to ensure alignment and transparency. While working remotely can present challenges in communication, proactive updates and scheduled syncs help foster strong teamwork and keep projects on track.

What is remote data science?

Remote data science refers to the practice of performing data analysis, modeling, and interpretation tasks from a location outside of a traditional office, such as from home or a co-working space. Remote data scientists use tools like Python, R, and SQL to analyze data, build predictive models, and communicate insights to stakeholders, all while collaborating virtually with their teams. This setup offers flexibility and can increase access to global job opportunities, but also requires strong self-motivation and communication skills to be effective.

What are the qualifications to get a remote data science job?

The qualifications for a remote data scientist depend in large part on your employer and their industry. Most employers expect remote data science professionals to have at least a bachelor’s degree in statistics, math, computer science, or a related field. Some expect postgraduate degrees in a field like data mining or machine learning or demonstrable skills in these areas. As a remote worker, you need access to relevant programs and an internet connection. You may also want to pursue certification, such as becoming a Certified Analytics Professional (CAP).

Can I work remotely as a remote data scientist?

Yes, many remote data scientist positions are available, allowing professionals to work from anywhere with a reliable internet connection. These roles often require skills in programming, data analysis, and familiarity with tools like Python, R, or SQL, and may involve collaboration through online platforms. Remote work arrangements are common in the data science field, especially with the increasing adoption of cloud-based tools and flexible schedules.

What is the difference between Remote Data Science vs Remote Data Analyst?

AspectRemote Data ScienceRemote Data Analyst
Required CredentialsDegree in Data Science, Statistics, or related field; programming skills in Python/R; knowledge of machine learningDegree in Statistics, Mathematics, or related field; proficiency in Excel, SQL, and data visualization tools
Work EnvironmentCollaborative teams, research-focused, often involves building models and algorithmsData reporting, visualization, and interpreting data trends for decision-making
Employer & Industry UsageTech companies, finance, healthcare, e-commerceMarketing agencies, retail, finance, healthcare

Remote Data Science involves developing predictive models and advanced analytics, requiring programming and machine learning skills. Remote Data Analysts focus on interpreting data, creating reports, and visualizations. While both roles analyze data remotely, Data Scientists typically handle more complex modeling tasks, whereas Data Analysts focus on data interpretation and reporting.

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

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

What job categories do people searching Remote Data Science jobs in Pittsburgh, PA look for?

The top searched job categories for Remote Data Science jobs in Pittsburgh, PA are:

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

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

Infographic showing various Remote Data Science job openings in Pittsburgh, PA as of August 2026, with employment types broken down into 1% As Needed, 82% Full Time, 13% Part Time, and 4% Contract. Highlights an 86% Physical, 4% Hybrid, and 10% Remote job distribution.

Data, Modeling, and Analytics Development Program Analyst/Associate

PNC Bank

Pittsburgh, PA • On-site, Remote

Full-time

Medical, Dental, Vision, Life, Retirement, PTO

Posted 9 days ago


PNC Bank rating

7.7

Company rating: 7.7 out of 10

Based on 345 frontline employees who took The Breakroom Quiz

91st of 171 rated banks


Job description

Position OverviewAt PNC, our people are our greatest differentiator and competitive advantage in the markets we serve. We are all united in delivering the best experience for our customers. We work together each day to foster an inclusive workplace culture where all of our employees feel respected, valued and have an opportunity to contribute to the company's success. As a Data, Modeling, and Analytics Development Program Analyst/Associate within PNC's Data, Modeling, and Analytics organization, you will be based in Pittsburgh, PA or Tysons, VA.PNC is an in-office company that fosters a supportive culture where employees can thrive and achieve balance. We encourage candidates to connect with their recruiter and hiring manager to understand workplace expectations and ensure the role aligns with their goals.PNC will not provide sponsorship for employment visas or participate in STEM OPT for this position.Job Description

By joining one of PNC's Development Programs, you can explore your potential through hands-on experience in a professional environment. This is an excellent opportunity to begin exploring your career goals, in addition to growing your skills in key areas. The goal of PNC's Development Programs is to move analysts and associates from development roles into production roles in one of PNC's lines of business.

The Data, Modeling, and Analytics (DMA) Development Program is an 18month rotational program that provides exposure to quantitative and business analytics, data science and modeling, and datadriven decisionmaking across commercial and consumer businesses. Analysts work with experienced professionals who transform data into actionable insights to support portfolio management, risk management, capital decisions, and business strategy. The program includes a structured learning curriculum, exposure to senior leaders, and a robust mentorship experience.

Rotations support PNC's data strategy including:

  • Commercial and Consumer Data Management
  • Portfolio Analytics
  • Balance Sheet Analytics & Modeling
  • Data and Decision Science
  • Marketing & Consumer Analytics
  • Business Operations Enablement
  • Fraud & Anti- Money Laundering (AML)

Analysts will gain direct exposure to various business areas including:

  • Asset Management Group (AMG)
  • Corporate Institutional Banking (C&IB)
  • Commercial Real Estate
  • Residential Real Estate
  • Retail (credit card, auto, etc.)
  • Small Business

Analysts work on real-world business problems and apply PNC's vast collection of analytical and modeling tools:

  • Generative AI (e.g. GitHub Copilot)
  • Cloud-based platforms (e.g. AWS)
  • Big Data systems (e.g. Apache Hadoop)
  • Application Development (e.g. SQL, Python, R, and Tableau)
  • Quantitative development and deployment environments

Upon successful completion, analysts are placed into roles where they can continue building their careers across PNC's analytics disciplines. Opportunities in the Data, Model, and Analytics Development Program are in Pittsburgh, PA and Tysons, VA.

Job Profile:

  • Participates as an analyst/associate in the line of business development program.

  • Performs or assists the core activities of the group by applying knowledge learned to drive business results (e.g. deal, sales, or process support, internal or external customer interaction, or supporting internal projects). Works under supervision and may have limited approval and/or exception authority.

  • Participates in social learning within the organization (e.g. identifies and networks with business representatives and peers, participates in mentoring, job shadowing and community outreach)

  • Participates in formal learning (e.g. classroom, web-based, or virtual) and completes related activities and projects.

  • Supports the internal and external customer experience by providing excellent service at all times; takes accountability and ensures problem resolution.

PNC Employees take pride in our reputation and to continue building upon that we expect our employees to be:

  • Customer Focused - Knowledgeable of the values and practices that align customer needs and satisfaction as primary considerations in all business decisions and able to leverage that information in creating customized customer solutions.
  • Managing Risk - Assessing and effectively managing all of the risks associated with their business objectives and activities to ensure they adhere to and support PNC's Enterprise Risk Management Framework.

To learn more about this opportunity, please watch this video.

Required Education and Experience:

  • Preferred STEM or business majors (e.g. Analytics, Data Science, Mathematics, Statistics, Finance, Economics, Business). Other majors can be considered if there is a strong proven interest in analytics.
  • Minimum GPA 3.2.
  • Experience in data analysis, preferably using AI, Power BI, SQL, Python, R, and/or Tableau
  • Roles at this level are filled by recent university / college graduates with little or no professional experience but possessing relevant skills. Includes individuals joining the organization through a corporate development/training program.
Qualifications

Successful candidates must demonstrate appropriate knowledge, skills, and abilities for a role. Listed below are skills, competencies, work experience, education, and required certifications/licensures needed to be successful in this position.

CompetenciesAccuracy and Attention to Detail, Analytical Thinking, Business Acumen, Effective Communications, Flexibility and Adaptability, Information Capture, Products and Services, Project Management, Self-Directed Growth and DevelopmentWork ExperienceRoles at this level are filled by recent university / college graduates with little or no professional experience, but possessing relevant skills. Includes individuals joining the organization through a Corporate development/ training program. In lieu of a degree, a comparable combination of education, job specific certification(s), and experience (including military service) may be considered.EducationBachelorsCertificationsNo Required Certification(s)LicensesNo Required License(s)Pay TransparencyBase Salary: $52,500.00 - $87,500.00Salaries may vary based on geographic location, market data and on individual skills, experience, and education.Application WindowGenerally, this opening is expected to be posted for two business days from 08/04/2026, although it may be longer with business discretion.BenefitsPNC offers a comprehensive range of benefits to help meet your needs now and in the future. Depending on your eligibility, options for full-time employees include: medical/prescription drug coverage (with a Health Savings Account feature), dental and vision options; employee and spouse/child life insurance; short and long-term disability protection; 401(k) with PNC match, pension and stock purchase plans; dependent care reimbursement account; back-up child/elder care; adoption, surrogacy, and doula reimbursement; educational assistance, including select programs fully paid; a robust wellness program with financial incentives.In addition, PNC generally provides the following paid time off, depending on your eligibility: maternity and/or parental leave; up to 11 paid holidays each year; 9 occasional absence days each year, unless otherwise required by law; between 15 to 25 vacation days each year, depending on career level; and years of service.

To learn more about these and other programs, including benefits for full time and part-time employees, visitpncthrive.com.

Disability Accommodations Statement

If an accommodation is required to participate in the application process, please contact us via email at AccommodationRequest@pnc.com. Please include "accommodation request" in the subject line title and be sure to include your name, the job ID, and your preferred method of contact in the body of the email. Emails not related to accommodation requests will not receive responses. Applicants may also call 877-968-7762 and say "Workday" for accommodation assistance. All information provided will be kept confidential and will be used only to the extent required to provide needed reasonable accommodations.


At PNC we foster an inclusive and accessible workplace. We provide reasonable accommodations to employment applicants and qualified individuals with a disability who need an accommodation to perform the essential functions of their positions.

Equal Employment Opportunity (EEO)


PNC provides equal employment opportunity to qualified persons regardless of race, color, sex, religion, national origin, age, sexual orientation, gender identity, disability, veteran status, or other categories protected by law.

This position is subject to the requirements of Section 19 of the Federal Deposit Insurance Act (FDIA) and, for any registered role, the Secure and Fair Enforcement for Mortgage Licensing Act of 2008 (SAFE Act) and/or the Financial Industry Regulatory Authority (FINRA), which prohibit the hiring of individuals with certain criminal history.

California Residents

Refer to the California Consumer Privacy Act Privacy Notice to gain understanding of how PNC may use or disclose your personal information in our hiring practices.


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