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R Programming Jobs in Pittsburgh, PA (NOW HIRING)

Mastery of Control Plans, Process Flows, and Gage R&R, with a specific focus on manufacturing ... to manage Engineering Change Orders (ECOs) and ensure BOM accuracy during the APQP cycle ...

New

Manufacturing Engineer (NPI)

Pittsburgh, PA · On-site

$70K - $91K/yr

Mastery of Control Plans, Process Flows, and Gage R&R, with a specific focus on manufacturing ... to manage Engineering Change Orders (ECOs) and ensure BOM accuracy during the APQP cycle ...

New

Mastery of Control Plans, Process Flows, and Gage R&R, with a specific focus on manufacturing ... to manage Engineering Change Orders (ECOs) and ensure BOM accuracy during the APQP cycle ...

New

... gauge R&R, APQP/PPAP (advanced product quality planning), document controls with customer ... Closely collaborate with Seegrid Engineering, Manufacturing, and Supply Chain to develop and ...

... gauge R&R, APQP/PPAP (advanced product quality planning), document controls with customer ... Closely collaborate with Seegrid Engineering, Manufacturing, and Supply Chain to develop and ...

... gauge R&R, APQP/PPAP (advanced product quality planning), document controls with customer ... Closely collaborate with Seegrid Engineering, Manufacturing, and Supply Chain to develop and ...

Showing results 21-40

R Programming information

See Pittsburgh, PA salary details

$77.7K

$120.4K

$146.6K

How much do r programming jobs pay per year?

As of Aug 21, 2026, the average yearly pay for r programming in Pittsburgh, PA is $120,381.00, according to ZipRecruiter salary data. Most workers in this role earn between $111,600.00 and $135,400.00 per year, depending on experience, location, and employer.

What is R programming?

R programming is an open-source language and environment primarily used for statistical computing, data analysis, and graphical representation of data. It is widely used by statisticians, data analysts, and researchers for tasks like data manipulation, statistical modeling, and creating visualizations. R has a rich ecosystem of packages and libraries that make it highly flexible for various data science applications. Its ability to handle large datasets and integrate with other programming languages makes it a popular choice in academia and industry. Additionally, R is supported by an active community, which continuously contributes new tools and resources.

What types of projects do R programming professionals typically work on within a team environment?

R Programming professionals often collaborate on projects involving data analysis, statistical modeling, and visualization. They usually work closely with data scientists, analysts, and subject matter experts to clean datasets, build predictive models, and generate insightful reports. The role requires effective communication to translate technical findings into actionable recommendations for non-technical stakeholders. Additionally, R programmers may participate in code reviews, contribute to package development, and help automate data pipelines, fostering a collaborative and learning-oriented work environment.

What are the key skills and qualifications needed to thrive as an R programmer, and why are they important?

To thrive as an R Programmer, you need strong proficiency in R programming, data analysis, and statistical modeling, often supported by a background in statistics, mathematics, or computer science. Familiarity with tools such as RStudio, version control systems like Git, and relevant packages (e.g., dplyr, ggplot2) is highly valued, along with certifications in data science or analytics. Analytical thinking, problem-solving, and effective communication are essential soft skills for translating data insights into actionable solutions. These skills ensure accurate data analysis, efficient workflow, and clear communication of results to technical and non-technical stakeholders.

What is the difference between R Programming vs Data Analyst?

AspectR ProgrammingData Analyst
Required skillsStatistical analysis, coding in R, data visualizationData manipulation, reporting, basic statistical skills
Work environmentData science teams, research labs, analytics departmentsBusiness, finance, marketing, healthcare sectors
Tools usedR, RStudio, packages like ggplot2, dplyrExcel, SQL, Tableau, R (sometimes)

R Programming is a specialized skill focusing on statistical computing and data visualization, often used by data scientists and statisticians. Data Analysts utilize a broader set of tools and skills to interpret data for business insights. While R Programming is essential for advanced analysis, Data Analysts often combine R with other tools to deliver reports and dashboards.

Are R programming in demand?

R programming is in high demand in data analysis, statistics, and data science roles across various industries. Professionals skilled in R, along with knowledge of data visualization and statistical modeling, are sought after for tasks involving data-driven decision making and research. The demand is expected to grow as organizations increasingly rely on data analysis tools.

What careers use R programming?

R programming is widely used in data analysis, statistics, and data science roles such as data analyst, data scientist, and biostatistician. Professionals in finance, healthcare, research, and academia also use R for data visualization, modeling, and reporting tasks, often requiring knowledge of statistical concepts and data manipulation tools.

What are the most commonly searched types of R Programming jobs in Pittsburgh, PA?

The most popular types of R Programming jobs in Pittsburgh, PA are:

What are popular job titles related to R Programming jobs in Pittsburgh, PA?

For R Programming jobs in Pittsburgh, PA, the most frequently searched job titles are:

What job categories do people searching R Programming jobs in Pittsburgh, PA look for?

The top searched job categories for R Programming jobs in Pittsburgh, PA are:

What cities near Pittsburgh, PA are hiring for R Programming jobs?

Cities near Pittsburgh, PA with the most R Programming job openings:

Infographic showing various R Programming job openings in Pittsburgh, PA as of August 2026, with employment types broken down into 57% Full Time, and 43% Contract. Highlights an 100% In-person job distribution, with an average salary of $120,381 per year, or $57.9 per hour.

Manufacturing Engineer (NPI)

Waabi

Pittsburgh, PA

$70K - $91K/yr

Full-time

Posted 2 days ago

New


Job description

Waabi, founded by AI visionary Raquel Urtasun, is the leader in Physical AI. With a world-class team, we're unlocking the next era of autonomous transportation with technology that's powering commercial autonomous trucks and robotaxis. Waabi is backed by and partners with world leaders in AI, automotive, logistics, and deep tech.

With offices in Toronto, San Francisco, Dallas, and Pittsburgh, Waabi is growing quickly and looking for diverse, innovative and collaborative candidates who want to impact the world in a positive way. To learn more visit: www.waabi.ai


You will...

- Drive APQP Program Management at CM/Tier 1 sites, owning APQP to ensure a flawless Start of Production (SOP) and obtain PPAP deliverables.

- Design for Manufacturing (DFM) & Assembly (DFA): Provide design maturity feedback during APQP Phase 2, ensuring that the hardware can be built repeatedly with the CM’s specific tooling and equipment.

- Support Supplier Quality Engineering (SQE) by validating that component-level PPAPs from sub-tier vendors are integrated correctly into the CM’s assembly process.

- Be responsible for the mechanical assembly, test, and integration of sensors, compute, and actuation systems, defining the special characteristic (SC/CC) steps for the manufacturing process.

- Work closely with cross-functional teams to define, deploy, and validate End-of-Line (EOL) testers and calibration routines that confirm the "digital health" of the hardware.

- Lead the development of Process PPAP deliverables, including PFMEAs, Process Flow Diagrams, Control Plans, and Work Instructions ensuring the CM has identified and mitigated all assembly-related risks with "Poka-Yoke" (error-proofing) solution, and has established a robust manufacturing process.

- Design and qualify manufacturing equipment, tooling and gauges, ensuring that manufacturing process controls are in place. Providing assurance that GD&T and/or general specification and tolerance requirements are consistently met through MSA (Measurement Systems Analysis) and Gage R&R.

- Support Process Verification (PV) Testing, conducting "Run-at-Rate" studies to prove the manufacturing line can sustain quality targets at full production speed.

- Lead internal and CM-based RCCA (Root Cause Corrective Action) using the 8D methodology to resolve technical assembly failures during manufacturing.

- Manage Metrology and Measurement Systems Analysis (MSA), ensuring that all gauges and inspection fixtures at the CM are qualified via Gage R&R before production use.

- Collaborate with Field Quality teams to update manufacturing Control Plans based on real-world performance data and feedback from OEM partners.

Qualifications:

- Bachelors of Science in Mechanical Engineering or similar fields.

- NPI & CM Oversight Experience: Proven track record of launching automotive or high-tech hardware at Tier 1 or Contract Manufacturers using structured quality gates.

- Technical ownership of the launch cycle, specifically focusing on the transition from prototype to a production-validated manufacturing line.

- Advanced APQP & PPAP Management: Mastery of Control Plans, Process Flows, and Gage R&R, with a specific focus on manufacturing process stability (Cpk). Experience managing the transition from Design Verification (DV) to Process Verification (PV) and overseeing full PPAP submissions for complex electromechanical systems.

- Proficient with Solidworks for reviewing assembly fixtures, pallets, and inspection jigs.

- Expertise in GD&T & Metrology: Deep understanding of how to verify complex mechanical tolerances in a production environment using CMM, OMM, or vision systems.

- Problem-Solving Expert: Mastery of 8D and RCCA, with the ability to lead high-pressure technical resolution activities during a production ramp.

- Experience with PLM tools and document revision control to manage Engineering Change Orders (ECOs) and ensure BOM accuracy during the APQP cycle.

- Experience with various manufacturing processes such as precision torque, thermal interface material (TIM) dispensing, and high-stakes sensor calibration.

- Present manufacturing readiness to cross-functional teams, using data-driven insights to justify the move from APQP Phase 3 to Phase 4.

Bonus Qualifications:

- Automotive, Aerospace, Autonomous Vehicle (AV) or EV industry experience is highly preferred.

- IPC/WHMA-A-620 and IPC-A-610 knowledge for acceptance of wire harness assemblies and electronic assemblies.

- Experience with Robotic Workcells or automated assembly systems.

- Certified Quality Engineer (CQE) or Six Sigma Green/Black Belt.

Perks/Benefits:
- Competitive compensation and equity awards.
- Health and Wellness benefits encompassing Medical, Dental and Vision coverage (for full-time employees only).
- Unlimited Vacation.
- Flexible hours and Work from Home support.
- Daily drinks, snacks and catered meals (when in office).
- Regularly scheduled team building activities and social events both on-site, off-site & virtually.
- As we grow, this list continues to evolve! 
 
Waabi is a technology start-up building technologies to transform the way the world moves. Join our talented team to be a part of the future and to make an impact!
 
Waabi is an equal opportunity employer. We celebrate diversity and are committed to creating a supportive, inclusive, and accessible workplace for all our employees. We seek applicants of all backgrounds and identities, across race, color, ethnicity, national origin or ancestry, age, citizenship, religion, sex, sexual orientation, gender identity or expression, military or veteran status, marital status, pregnancy or parental status, caregiver status, disability, or any other characteristic protected by law. We make workplace accommodations for qualified individuals with disabilities as required by applicable law. If reasonable accommodation is needed to participate in the job application or interview process please let our recruiting team know.

We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses and identifying potential inconsistencies or verification signals in application materials based on available information. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.