Amazon

Applied Scientist, People eXperience Technology Central Science (PXTCS)

Amazon$142K — $193K *
Information Technology
Less than 5 years of experience
Job Overview by Ladders

Qualifications

  • 3+ years of experience building business application models
  • PhD or Master's in CS, CE, ML, or related field with 4+ years experience
  • Proficient in programming languages such as Java, C++, or Python
  • Experience in Unix/Linux environments
  • Proven track record in developing machine learning models for business
  • Skilled in designing experiments and analyzing statistical results

Responsibilities

  • Design and develop prediction and forecasting models for workforce planning
  • Transition models from prototype to production systems and ensure their reliability
  • Collaborate with economists to align forecasts with causal policy insights
  • Adapt models for new business lines and operational shifts
  • Translate vague business challenges into effective modeling strategies
  • Conduct analyses on data to enhance model accuracy and performance
  • Communicate findings and recommendations through detailed documentation

Benefits

  • Comprehensive health insurance (medical, dental, vision)
  • 401(k) matching program
  • Generous paid time off policy
  • Parental leave benefits
  • Assistance with adoption and surrogacy reimbursement
  • Access to mental health support and flexible spending accounts
Full Job Description
We are looking for an Applied Scientist to build models at the intersection of prediction, causal inference, and optimization. These models are the science foundation for operational workforce planning at Amazon's scale - predicting who stays, who shows up, and suggesting which levers Amazon should use to ensure smooth business operations and the best employee experience.

As an Applied Scientist, you will own the forecasting and prediction models. Your forecasts go straight into planning cycles that commit real hiring, so accuracy, calibration, and being able to explain a number to business partners all matter for success. You will work with other scientists and economists on the team, so you will need an interdisciplinary mindset and an eye on how causal inference and forecasting interact. You will also collaborate with engineers to put models into production, so you should be comfortable owning a live system and not only an analysis.

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

The base salary range for this position is listed below. Your Amazon package will include sign-on payments and restricted stock units (RSUs). Final compensation will be determined based on factors including experience, qualifications, and location. Amazon also offers comprehensive benefits including health insurance (medical, dental, vision, prescription, Basic Life & AD&D insurance and option for Supplemental life plans, EAP, Mental Health Support, Medical Advice Line, Flexible Spending Accounts, Adoption and Surrogacy Reimbursement coverage), 401(k) matching, paid time off, and parental leave. Learn more about our benefits at https://amazon.jobs/en/benefits.

USA, CA, San Francisco - 171,600.00 - 222,200.00 USD annually

USA, MA, Boston - 142,800.00 - 193,200.00 USD annually

USA, VA, Arlington - 142,800.00 - 193,200.00 USD annually

USA, WA, Bellevue - 142,800.00 - 193,200.00 USD annually

USA, WA, Seattle - 142,800.00 - 193,200.00 USD annually

About Amazon

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Amazon Careers

Joining Amazon presents an unparalleled opportunity to become part of a vibrant team pushing the boundaries of innovation and growth in the global marketplace. As a leader in e-commerce, technology, and logistics, Amazon offers a variety of job opportunities that cater to a range of skills and professional interests. Work You’ll Do At Amazon, every day is an opportunity to collaborate with the brightest minds in technology and business to redefine what’s possible. Whether you’re interested in software development, marketing, human resources, or customer service, Amazon has a position waiting for you. Transform the way the world shops and innovates with our diverse and inclusive team. Amazon is not just a company; it’s a community where you can drive real change and contribute to projects impacting millions globally. Lead with Innovation and Leadership Amazon is the perfect place to enhance your leadership and innovation skills. Our culture encourages pushing the envelope and imagining the unimaginable. Here, you will lead projects that challenge the status quo and define new industry standards. Work with a team that values diversity and is committed to creating an inclusive environment. Our leadership is focused on harnessing the collective power of unique perspectives to foster growth and innovation. Explore Amazon’s Employment Benefits Amazon’s commitment to its employees extends beyond just career growth. We offer competitive benefits, including health care, parental leave, and diversity training, ensuring that our team not only excels professionally but also enjoys well-being and security. Internship and Networking Opportunities Start your career with an Amazon internship and gain hands-on experience that matters. Our internships provide a gateway to full-time employment and an opportunity to network with professionals across various sectors of the company. Future-Proof Your Career With Amazon, your career path is filled with numerous opportunities for advancement. Our learning and development programs are designed to nurture your professional growth and keep you at the forefront of industry trends. Stay Connected Join Our Team Discover the job opportunities at Amazon that match your skills and interests. We are constantly on the lookout for passionate, curious, and innovative team players ready to make a difference. Keep Up to Date Stay ahead with career tips, insider perspectives, and industry-leading insights you can put to use today—all from the people who work here. Job Alert Emails Customize your subscription to receive job alerts, the latest news, and insider tips tailored to your preferences. Explore the exciting and rewarding career opportunities that await at Amazon. Amazon is more than just a company—it’s a platform for building a promising future. Whether you’re starting or looking to advance your career, Amazon offers the resources, support, and network you need to succeed. Join us, and be a part of our continuing mission to be Earth's most customer-centric company.
Learn more about Amazon
Size
1,608 employees
Market Cap
$832.6 billion
Industry
Net Income
$21.3 billion
Founded
1994
5 Year Trend
+28.1%
Revenue
$386 billion
NASDAQ

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