Senior Data Scientist, Special Projects jobs in United States
cer-icon
Apply on Employer Site
company-logo

Amazon · 4 days ago

Senior Data Scientist, Special Projects

Amazon is a passionate team applying the latest advances in technology to solve real-world challenges. As a Senior Data Scientist, you will work at the intersection of machine learning and advanced analytics to develop innovative products that enhance customer experiences and drive improvements through data analysis and collaboration with multi-disciplinary teams.

Artificial Intelligence (AI)DeliveryE-CommerceFoundational AIRetail
check
H1B Sponsor Likelynote

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

Qualification

Ph.D. in relevant fieldStatistical analysisMachine learning algorithmsLarge-scale data processingComputational modelingDeep learning approachesExperimental designHigh-performance computingIntellectual curiosityCollaborationAdaptability

Required

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

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

Benefits

Equity
Sign-on payments
Full range of medical, financial, and/or other benefits

Company

Amazon is a tech firm with a focus on e-commerce, cloud computing, digital streaming, and artificial intelligence.

H1B Sponsorship

Amazon has a track record of offering H1B sponsorships. Please note that this does not guarantee sponsorship for this specific role. Below presents additional info for your reference. (Data Powered by US Department of Labor)
Distribution of Different Job Fields Receiving Sponsorship
Represents job field similar to this job
Trends of Total Sponsorships
2025 (22803)
2024 (21175)
2023 (19057)
2022 (24088)
2021 (12233)
2020 (14881)

Funding

Current Stage
Public Company
Total Funding
$8.11B
Key Investors
AmazonKleiner Perkins
2023-01-03Post Ipo Debt· $8B
2001-07-24Post Ipo Equity· $100M
1997-05-15IPO

Leadership Team

leader-logo
Douglas J. Herrington
CEO, Worldwide Amazon Stores
linkedin
leader-logo
Werner Vogels
VP & CTO
linkedin

Recent News

PCMag.com - Technology Product Reviews, News, Prices & Tips
Company data provided by crunchbase