Amazon
Senior Data Scientist, Special Projects
Amazon, San Francisco, California, United States, 94199
Job ID: 3132691 | Amazon.com Services LLC
We are a passionate team applying the latest advances in technology to solve real world challenges. As a Data Scientist working at the intersection of machine learning and advanced analytics, you will help develop innovative products that enhance customer experiences. Our team values intellectual curiosity while maintaining sharp focus on bringing products to market. Successful candidates demonstrate responsiveness, adaptability, and thrive in our open, collaborative, entrepreneurial environment.
Working at the forefront of academic and applied research, you will join a diverse team of scientists, engineers, and product managers to solve complex business and technology problems using scientific approaches. You will collaborate closely with other teams to implement innovative solutions and drive improvements.
At Amazon, we cultivate an inclusive culture through our Leadership Principles, which emphasize seeking diverse perspectives, continuous learning, and building trust. Our global community includes thirteen employee‑led affinity groups with 40,000 members across 190 chapters, showcasing our commitment to embracing differences and fostering continuous learning through local, regional, and global programs.
We prioritize work‑life balance, recognizing it as fundamental to long‑term happiness and fulfillment. Our team is committed to supporting your career development through challenging projects, mentorship opportunities, and targeted training programs that help you reach your full potential.
Key job responsibilities
Deliver data analyses that optimize overall team process and guide decision‑making
Deep dive to understand source of anomalies across a variety of datasets including low‑level sequencing read data
Identify key metrics that are drivers to achieve team goals; work with senior stakeholders to refine your results
Use modern statistical methods to highlight insights for predictive & generative ML models and assay process
Perform correlation analysis, significance testing, and simulation on high‑ and low‑fidelity datasets for various types of readouts
Generate reports with tables and visualization that support operational cycle analysis and one‑off POC experiments
Collaborate with multi‑disciplinary domain experts to support your findings and their experiments
Write well‑tested scripts that can be promoted by our software teams to production pipelines
Learn about new statistical methods for our domain and adopt them in your work
Work fluently in SQL and Python. Be skilled in generating compelling visualizations.
A day in the life New data has just landed and promoted to our datalake. You load the data and verify its overall integrity by visualizing variation across target subsets. You realize we may have made progress toward our goals and begin to test the validity of your nominal results. At midday you grab lunch with new coworkers and learn about their fields or weird interests (there are many). You generate visualizations for the entire dataset and perform significance tests that reinforce specific findings. You meet with peers in the afternoon to discuss your findings and breakdown the remaining tasks to finalize your group report!
About the team Innovators wanted! Are you an entrepreneur? A builder? A dreamer? This role is part of an Amazon Special Projects team that takes the company’s Think Big leadership principle to the limits. We focus on creating entirely new products and services with a goal of positively impacting the lives of our customers. No industries or subject areas are out of bounds. If you’re interested in innovating at scale to address big challenges in the world, this is the team for you.
Basic Qualifications
Ph.D. in computer science, engineering, mathematics or equivalent, or experience in data science, machine learning or data mining
Experience analyzing noisy experimental data and implementing robust quality control methods
Advance Knowledge in statistical analysis, hypothesis testing and sequential data analysis
Experience with large‑scale data processing pipelines
Preferred Qualifications
Expertise in applying machine learning algorithms to sequential pattern recognition
Experience with computational modeling and optimization problems
Track record of handling large‑scale, multi‑dimensional datasets
Familiarity with state‑of‑the‑art deep learning approaches including transformers and embedding models
Publication record in leading machine learning or computational science venues
Experience with automated systems and process optimization
Knowledge of high‑performance computing and distributed systems
Experience in iterative experimental design and optimization
Demonstrated ability to bridge theoretical models with experimental validation
Amazon is an equal opportunity employer and does not discriminate on the basis of protected veteran status, disability, or other legally protected status.
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.
Our compensation reflects the cost of labor across several US geographic markets. The base pay for this position ranges from $143,300/year in our lowest geographic market up to $247,600/year in our highest geographic market. Pay is based on a number of factors including market location and may vary depending on job‑related knowledge, skills, and experience. Amazon is a total compensation company. Dependent on the position offered, equity, sign‑on payments, and other forms of compensation may be provided as part of a total compensation package, in addition to a full range of medical, financial, and/or other benefits. For more information, please visit https://www.aboutamazon.com/workplace/employee-benefits. This position will remain posted until filled. Applicants should apply via our internal or external career site.
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We are a passionate team applying the latest advances in technology to solve real world challenges. As a Data Scientist working at the intersection of machine learning and advanced analytics, you will help develop innovative products that enhance customer experiences. Our team values intellectual curiosity while maintaining sharp focus on bringing products to market. Successful candidates demonstrate responsiveness, adaptability, and thrive in our open, collaborative, entrepreneurial environment.
Working at the forefront of academic and applied research, you will join a diverse team of scientists, engineers, and product managers to solve complex business and technology problems using scientific approaches. You will collaborate closely with other teams to implement innovative solutions and drive improvements.
At Amazon, we cultivate an inclusive culture through our Leadership Principles, which emphasize seeking diverse perspectives, continuous learning, and building trust. Our global community includes thirteen employee‑led affinity groups with 40,000 members across 190 chapters, showcasing our commitment to embracing differences and fostering continuous learning through local, regional, and global programs.
We prioritize work‑life balance, recognizing it as fundamental to long‑term happiness and fulfillment. Our team is committed to supporting your career development through challenging projects, mentorship opportunities, and targeted training programs that help you reach your full potential.
Key job responsibilities
Deliver data analyses that optimize overall team process and guide decision‑making
Deep dive to understand source of anomalies across a variety of datasets including low‑level sequencing read data
Identify key metrics that are drivers to achieve team goals; work with senior stakeholders to refine your results
Use modern statistical methods to highlight insights for predictive & generative ML models and assay process
Perform correlation analysis, significance testing, and simulation on high‑ and low‑fidelity datasets for various types of readouts
Generate reports with tables and visualization that support operational cycle analysis and one‑off POC experiments
Collaborate with multi‑disciplinary domain experts to support your findings and their experiments
Write well‑tested scripts that can be promoted by our software teams to production pipelines
Learn about new statistical methods for our domain and adopt them in your work
Work fluently in SQL and Python. Be skilled in generating compelling visualizations.
A day in the life New data has just landed and promoted to our datalake. You load the data and verify its overall integrity by visualizing variation across target subsets. You realize we may have made progress toward our goals and begin to test the validity of your nominal results. At midday you grab lunch with new coworkers and learn about their fields or weird interests (there are many). You generate visualizations for the entire dataset and perform significance tests that reinforce specific findings. You meet with peers in the afternoon to discuss your findings and breakdown the remaining tasks to finalize your group report!
About the team Innovators wanted! Are you an entrepreneur? A builder? A dreamer? This role is part of an Amazon Special Projects team that takes the company’s Think Big leadership principle to the limits. We focus on creating entirely new products and services with a goal of positively impacting the lives of our customers. No industries or subject areas are out of bounds. If you’re interested in innovating at scale to address big challenges in the world, this is the team for you.
Basic Qualifications
Ph.D. in computer science, engineering, mathematics or equivalent, or experience in data science, machine learning or data mining
Experience analyzing noisy experimental data and implementing robust quality control methods
Advance Knowledge in statistical analysis, hypothesis testing and sequential data analysis
Experience with large‑scale data processing pipelines
Preferred Qualifications
Expertise in applying machine learning algorithms to sequential pattern recognition
Experience with computational modeling and optimization problems
Track record of handling large‑scale, multi‑dimensional datasets
Familiarity with state‑of‑the‑art deep learning approaches including transformers and embedding models
Publication record in leading machine learning or computational science venues
Experience with automated systems and process optimization
Knowledge of high‑performance computing and distributed systems
Experience in iterative experimental design and optimization
Demonstrated ability to bridge theoretical models with experimental validation
Amazon is an equal opportunity employer and does not discriminate on the basis of protected veteran status, disability, or other legally protected status.
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.
Our compensation reflects the cost of labor across several US geographic markets. The base pay for this position ranges from $143,300/year in our lowest geographic market up to $247,600/year in our highest geographic market. Pay is based on a number of factors including market location and may vary depending on job‑related knowledge, skills, and experience. Amazon is a total compensation company. Dependent on the position offered, equity, sign‑on payments, and other forms of compensation may be provided as part of a total compensation package, in addition to a full range of medical, financial, and/or other benefits. For more information, please visit https://www.aboutamazon.com/workplace/employee-benefits. This position will remain posted until filled. Applicants should apply via our internal or external career site.
#J-18808-Ljbffr