Data Scientist, AWS Support Capacity Planning

Amazon; San Francisco (CA); On-site; USD 136,000 - 184,000; Full time

Benefits offered by this job

Health insurance

401(k) matching

Paid time off

Parental leave

Job summary

Amazon is looking for a Data Scientist to join the AWS Support Capacity Planning team in San Francisco. This role involves building forecasting models, partnering with various teams, and influencing overall strategy.

Ideal candidates possess at least 2 years of data science experience, proficiency in data querying languages, and familiarity with machine learning and statistical methodologies. Comprehensive benefits are provided, including health insurance and 401(k) matching.

Qualifications

• 2+ years of data science experience.
• 3+ years with data querying languages, scripting languages, or statistical/mathematical software.
• 3+ years of experience with machine learning/statistical modeling.

Responsibilities

• Build and manage forecasting and optimization projects.
• Identify data requirements and develop methodologies.
• Drive end‑to‑end model development in Python or R.

Skills

Data science experience

Data querying languages (SQL)

Machine learning/statistical modeling

Scripting languages (Python)

Statistical/mathematical software (R, SAS)

Tools

Python

R

Job description

Data Scientist, AWS Support Capacity Planning

Job ID: 10447474 | Amazon Web Services, Inc.

We are searching for a Data Scientist to join AWS Support’s Capacity Planning team. In this role you will build contact and volume forecasting models, uncover insights, and develop optimization solutions that drive operational efficiency and cost savings. You will collaborate with data engineering, tooling, operations, training, workforce management, and finance teams to influence long‑term strategy across the support network.

Responsibilities

• Build and manage forecasting and optimization projects for contact and volume.
• Identify data requirements and develop statistically grounded methodologies and tools.
• Drive end‑to‑end model development in Python or R.
• Communicate insights and recommendations to stakeholders and influence business decisions.
• Partner with development and operations teams to deploy production models.

Qualifications

Basic Qualifications

• 2+ years of data science experience.
• 3+ years of experience with data querying languages (e.g., SQL), scripting languages (e.g., Python) or statistical/mathematical software (e.g., R, SAS, Matlab).
• 3+ years of experience with machine learning/statistical modeling, data analysis tools and techniques, and tuning model performance.
• Experience application of theoretical models in an applied environment.

Preferred Qualifications

• Experience in Python, Perl, or another scripting language.
• Experience in a ML or data scientist role with a large technology company.

Benefits

Amazon offers a comprehensive benefits package, including health insurance (medical, dental, vision, prescription, Basic Life & AD&D insurance, and Supplemental life options), EAP, Mental Health Support, Medical Advice Line, Flexible Spending Accounts, Adoption and Surrogacy Reimbursement coverage, 401(k) matching, paid time off, and parental leave. For more details, see https://amazon.jobs/en/benefits.

Salary

• USA, TX, Dallas – $136,000.00 – $184,000.00 USD annually
• USA, WA, Seattle – $136,000.00 – $184,000.00 USD annually

EEO Statement

Amazon is an equal opportunity employer and does not discriminate on the basis of protected veteran status, disability, or other legally protected status. If you have a disability and need an accommodation, please visit https://amazon.jobs/content/en/how-we-hire/accommodations for more information.