Applied Scientist, People eXperience Technology Central Science (PXTCS)

Amazon.com LLC; Bellevue (WA); On-site; USD 120,000 - 190,000; Full time

Job summary

Amazon in Bellevue, WA, seeks an interdisciplinary data scientist for its Central Science Team within PXTCS to design forecasting models for workforce planning and optimization.

You will build production-grade models, partner with economists, and extend solutions across sites and shifts, turning ambiguous problems into measurable improvements. Join a team blending science and software to impact Amazonians.

Qualifications

• 3+ years of building models for business applications.
• PhD, or Master’s +4 years in CS/CE/ML or related field.
• Experience programming in Java, C++, Python or related language.

Responsibilities

• Design and develop forecasting and prediction models that feed Amazon's workforce planning and optimization systems.
• Build models and algorithms from prototype to production-level systems, and support them once planners depend on them.
• Partner with the team's economists to connect forecasts with causal estimates of policy levers.
• Extend models to new sites, shifts, and business lines as the platform expands.
• Translate ambiguous business problems into modeling approaches, and drive the technical design with planning, engineering, and operations partners.

Skills

Modeling for business

Forecasting

Production systems

Unix/Linux experience

Education

PhD in a related field

Master's degree + 4+ years in CS/CE/ML

Tools

Java

C++

Python

Unix/Linux

Job description

The Central Science Team within Amazon's People Experience and Technology org (PXTCS) uses economics, behavioral science, statistics, and machine learning to proactively identify mechanisms and process improvements which simultaneously improve Amazon and the lives, well-being, and the value of work to Amazonians. We are an interdisciplinary team, which combines the talents of science and engineering to develop and deliver solutions that measurably achieve this goal.

Key job responsibilities

• Design and develop forecasting and prediction models that feed Amazon's workforce planning and optimization systems.
• Build models and algorithms from prototype to production-level systems, and support them once planners depend on them.
• Partner with the team's economists to connect forecasts with causal estimates of policy levers.
• Extend models to new sites, shifts, and business lines as the platform expands.
• Translate ambiguous business problems into modeling approaches, and drive the technical design with planning, engineering, and operations partners.

A day in the life

• Analyze data to investigate a forecast miss or model performance, and identify improvements
• Brainstorm modeling approaches with fellow scientists and economists on the team
• Build and backtest new features for your model
• Run a simulation or experiment to evaluate your model's performance
• Meet with planning, compensation, or finance partners to review requirements, data, design, or other project decisions
• Review code changes or a design document from a fellow scientist or engineer
• Write and present a document covering method, results, and recommendations

Basic Qualifications

• 3+ years of building models for business application experience
• PhD, or Master's degree and 4+ years of CS, CE, ML or related field experience
• Experience programming in Java, C++, Python or related language

Preferred Qualifications

• Experience using Unix/Linux
• Experience in professional software development
• Experience in building machine learning models for business application
• Experience in designing experiments and statistical analysis of results

Amazon is an equal opportunity employer and does not discriminate on the basis of protected veteran status, disability, or other legally protected status.

Los Angeles County applicants: Job duties for this position include: work safely and cooperatively with other employees, supervisors, and staff; adhere to standards of excellence despite stressful conditions; communicate effectively and respectfully with employees, supervisors, and staff to ensure exceptional customer service; and follow all federal, state, and local laws and Company policies. Criminal history may have a direct, adverse, and negative relationship with some of the material job duties of this position. These include the duties and responsibilities listed above, as well as the abilities to adhere to company policies, exercise sound judgment, effectively manage stress and work safely and respectfully with others, exhibit trustworthiness and professionalism, and safeguard business operations and the Company's reputation. Pursuant to the Los Angeles County Fair Chance Ordinance, we will consider for employment qualified applicants with arrest and conviction records.

Pursuant to the San Francisco Fair Chance Ordinance, we will consider for employment qualified applicants with arrest and conviction records.

Our inclusive culture empowers Amazonians to deliver the best results for our customers. If you have a disability and need a workplace accommodation or adjustment during the application and hiring process, including support for the interview or onboarding process, please visit https://amazon.jobs/content/en/how-we-hire/accommodations for more information. If the country/region you're applying in isn't listed, please contact your Recruiting Partner.

The base salary range for this position is listed below. Your Amazon package will include sign-on payments and restricted stock units (RSUs). Final co