United States, Pennsylvania, Economist jobs

NOTE: This position shall primarily support second shift operations (~1430hrs - 2230hrs). In future, there may be rotation with first shift operations.Key job responsibilities
- Actively support and foster a culture of inclusion.
- Own Process optimization and cost reduction initiatives for sustaining processes.
- Perform critical process reviews including Risk and Hazard assessments.
- Development and Validation of processes specific to NPI programs.
Benefits summary:1. Medical, Dental, and Vision Coverage
2. Maternity and Parental Leave Options
3. Paid Time Off (PTO)
4. 401(k) Plan

- Bachelor’s degree in Mechanical Engineering, Industrial Engineering or related discipline.
- 5+ years’ experience in manufacturing environment and knowledge of GMP.
- Experience with Project Management tools.
- Experience in New Product Introduction environment including Phase-Gate process experience.
- Experienced CAD user, demonstrated capabilities in AutoCAD and SolidWorks.
- Experience using industry Problem Solving Tools such as 8D, Fishbone/Cause-Effect, or CAPA methodology.
- Experience using Quality & Statistical tools such as PFMEA, control charting, pareto, and histograms.
- Experience and proven skill in written and verbal business communications, organizational communications, reporting metrics.

- MBA or advanced Engineering degree preferred.
- Proven ability to manage and deliver projects with accelerated schedules.
- Proven analytical approach to problem-solving.
- Experience in manufacturing / process improvement (eg. Lean-Six Sigma).
- Experience with Manufacturing Execution Systems (MES), ERP systems, and Tool / Equipment programming.
- Self-motivated and able to solve problems independently and in team settings.
- Experience with Process Optimization Tools including Programming, Mapping, Simulation or various algorithms.

Key job responsibilities
- Develop novel, scalable algorithms and modeling techniques that advance the state-of-the-art in areas at the intersection of LLMs and generative AI for robotics
- Tackle challenging, groundbreaking research problems on production-scale data, with a focus on robotic perception, manipulation, and control

- Are enrolled in a Bachelor's degree or above
- Are 18 years of age or older
- Work 40 hours/week minimum and commit to 12 week internship maximum
- Can relocate to where the internship is based
- Experience programming in Java, C++, Python or related language

- Have publications at top-tier peer-reviewed conferences or journals
- Experience in designing experiments and statistical analysis of resultsPursuant to the San Francisco Fair Chance Ordinance, we will consider for employment qualified applicants with arrest and conviction records.

Key job responsibilities
In this role you will:
- Design, implement, and maintain scalable econometric and machine learning solutions to automate and improve key measurement and optimization capabilities.

- PhD in economics or equivalent

- Experience in industry, consulting, government or academic research
- Experience in analytics and applied economics
- Experience in developing and executing an analytic vision to solve business-relevant problems
- Experience in building statistical models using R, Python, STATA, or a related software
- 5+ years of industry, consulting, government, or academic research experience

Must be eligible and available for a full-time (40h/ week) 12 week internship between July 2025 and December 2025Key job responsibilities
- Develop novel, scalable algorithms and modeling techniques that advance the state-of-the-art in areas at the intersection of LLMs and generative AI for robotics
- Tackle challenging, groundbreaking research problems on production-scale data, with a focus on robotic perception, manipulation, and control

- Are enrolled in a PhD
- Are 18 years of age or older
- Work 40 hours/week minimum and commit to 12 week internship maximum
- Can relocate to where the internship is based
- Experience programming in Java, C++, Python or related language

- Have publications at top-tier peer-reviewed conferences or journals
- Experience in designing experiments and statistical analysis of resultsPursuant to the San Francisco Fair Chance Ordinance, we will consider for employment qualified applicants with arrest and conviction records.

A successful candidate will be a self-starter comfortable with ambiguity, strong attention to detail, and the ability to work in a fast-paced, ever-changing environment. As an Applied Science Intern, you will own the design and development of end-to-end systems. You’ll have the opportunity to create technical roadmaps, and drive production level projects that will support Amazon Science. You will work closely with Amazon scientists, and other science interns to develop solutions and deploy them into production. The ideal scientist must have the ability to work with diverse groups of people and cross-functional teams to solve complex business problems.

- Are enrolled in a Master's degree
- Are 18 years of age or older
- Work 40 hours/week minimum and commit to 12 week internship maximum
- Can relocate to where the internship is based
- Experience programming or scripting language like Python, Java, C or C++

- Have publications at top-tier peer-reviewed conferences or journals

You'll develop and implement sophisticated causal and predictive models, leveraging economic theory, behavioral science, and advanced analytics to identify improvements in people processes and policies. Working closely with cross-functional partners, you'll translate complex economic insights into actionable recommendations for senior leadership.Key job responsibilities

- PhD in economics or equivalent
- 5+ years of post PhD experience experience
- Expertise in economic research and causal inference, including: causal identification strategies (e.g., instrumental variables, regression discontinuity, difference-in-differences); experimental design (A/B testing, randomized controlled trials, quasi-experiments); advanced econometric and statistical methods. Experience can be obtained through work experience or advanced degree (Master's or Ph.D.) in Economics, Econometrics, Public Policy, or related fields. Experience in statistical programming languages such as R, Python, or Stata. Experience with SQL and database management.

- Advanced experience in economic research domains, including: labor economics; personnel economics; applied microeconomics; behavioral economics. Advanced leadership and communication skills, including: proven track record of hiring, coaching, and developing economic research talent; experience effectively consulting with senior management and executives; success driving evidence-based decisions in fast-paced environments; history of leading cross-functional research initiatives. Experience with economic research design, including: ability to evaluate and compare different identification strategies based on business requirements; understanding of practical tradeoffs between model complexity, statistical power, and feasibility; track record of identifying and addressing implementation challenges; experience with end-to-end research project management and policy implementation