Sr. Data Scientist, Capacity Planning

Amazon; San Francisco (CA); On-site; USD 159,200 - 215,300; Full time

Benefits offered by this job

Health insurance

401(k) matching

Paid time off

Parental leave

Job summary

Amazon Web Services (AWS) is seeking a data scientist to identify business opportunities, develop predictive models, and optimize algorithms to enhance our Support organization. You will lead data-driven initiatives, collaborate with cross-functional teams, and leverage Spark/Hadoop for large-scale processing.

Base salary ranges across locations in the US, with comprehensive benefits including health insurance, 401(k) matching, paid time off, and parental leave. Equal opportunity employer.

Qualifications

• 5+ years of experience with data querying languages (e.g. SQL), scripting languages (e.g. Python) or statistical/mathematical software (e.g. R, SAS, Matlab).
• 4+ years of data scientist experience.
• Experience with statistical models such as multinomial logistic regression.

Responsibilities

• Establish and execute data management and strategy frameworks including data collection, storage, integration and ensuring data quality and integrity.
• Collaborate with cross-functional teams to identify data-related challenges and opportunities, develop data-driven solutions, and align data strategy with the organization’s overall objectives.
• Conduct thorough research and analysis to understand the organization’s data needs and requirements, including evaluating existing data infrastructure and systems, identifying gaps and areas for improvement, and proposing innovative solutions.
• Leverage large-scale data processing frameworks, such as Apache Spark or Hadoop, to handle big data and ensure efficient model training and evaluation.
• Continuously evaluate and improve machine learning models by incorporating feedback from stakeholders, monitoring their performance in real-world scenarios, and exploring new algorithms and techniques to enhance accuracy and efficiency.
• Develop and implement machine learning models that drive business value: Analyze historical data and identifying patterns, to forecast future outcomes and provide inputs into strategic plans.
• Analyze customer data and market trends, to help develop targeted go-to-market strategies that our efforts are data driven and have a higher chance of success.
• Analyze financial data, to identify cost-saving opportunities, optimize pricing strategies, and forecast revenue growth, helping the leaders to make informed decisions.
• Analyze operational data, to identify bottlenecks, inefficiencies, and areas for process improvement, helping in streamlining operations, reducing costs, and improving customer satisfaction.

Skills

SQL

Python

R

SAS

Matlab

Tools

Apache Spark

Hadoop

Job description

Job ID: 10477487 | Amazon Web Services, Inc.

Do you have proven analytical capabilities to identify business opportunities, develop predictive models and optimization algorithms to help us build state‑of‑the‑art Support organization? At Amazon, we are working to be the most customer‑centric company on earth. To get there, we need exceptionally talented, bright, and driven people. Amazon Web Services (AWS) is one of the world’s most comprehensive and broadly adopted cloud platform, offering over 200 fully featured services from data centers globally. AWS provides services for a broad range of applications including compute, storage, databases, networking, analytics, machine learning and artificial intelligence (AI), Internet of Things (IoT), security, and application development, deployment, and management.

Key job responsibilities

• Establish and execute data management and strategy frameworks including data collection, storage, integration and ensuring data quality and integrity.
• Collaborate with cross‑functional teams to identify data‑related challenges and opportunities, develop data‑driven solutions, and align data strategy with the organization’s overall objectives.
• Conduct thorough research and analysis to understand the organization’s data needs and requirements, including evaluating existing data infrastructure and systems, identifying gaps and areas for improvement, and proposing innovative solutions.
• Leverage large‑scale data processing frameworks, such as Apache Spark or Hadoop, to handle big data and ensure efficient model training and evaluation.
• Continuously evaluate and improve machine learning models by incorporating feedback from stakeholders, monitoring their performance in real‑world scenarios, and exploring new algorithms and techniques to enhance accuracy and efficiency.
• Develop and implement machine learning models that drive business value:
  • Analyze historical data and identifying patterns, to forecast future outcomes and provide inputs into strategic plans.
  • Analyze customer data and market trends, to help develop targeted go‑to‑market strategies that our efforts are data driven and have a higher chance of success.
  • Analyze financial data, to identify cost‑saving opportunities, optimize pricing strategies, and forecast revenue growth, helping the leaders to make informed decisions.
  • Analyze operational data, to identify bottlenecks, inefficiencies, and areas for process improvement, helping in streamlining operations, reducing costs, and improving customer satisfaction.

Basic Qualifications

• 5+ years of experience with data querying languages (e.g. SQL), scripting languages (e.g. Python) or statistical/mathematical software (e.g. R, SAS, Matlab, etc.).
• 4+ years of data scientist experience.
• Experience with statistical models such as multinomial logistic regression.

Preferred Qualifications

• 2+ years of data visualization experience using AWS QuickSight, Tableau, R Shiny, etc.
• Experience managing data pipelines.
• Experience as a leader and mentor on a data science team.

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&DD 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 Amazon.jobs.

USA, TX, Dallas – 159,200.00 – 215,300.00 USD annually
USA, WA, Seattle – 159,200.00 – 215,300.00 USD annually

Posted: June 12, 2026 (Updated about 1 month ago)

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 accommodations page for more information. If the country/region you’re applying in isn’t listed, please contact your Recruiting Partner.