Data Scientist II, AMZL, Central Learning Solutions Science

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

Benefits offered by this job

Medical coverage

Dental coverage

Vision coverage

PTO

401(k) plan

Parental leave

Maternity leave

Job summary

Amazon's Data Scientist II on the CLS Science team in Bellevue, WA leads data science roadmap for learning and development interventions. You’ll apply causal inference, run A/B tests, and collaborate with cross-functional partners to improve training content and learner outcomes.

Join a fast-paced environment delivering scalable analytics and actionable insights that influence learning strategies across the organization.

Qualifications

• Master's degree in a quantitative field such as statistics, mathematics, data science, economics, or engineering.
• 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, etc.).
• 3+ years of machine learning/statistical modeling and data analysis tools and techniques, and experience with parameters that affect their performance.
• Experience applying theoretical models in an applied environment.
• 2+ years of data scientist experience.

Responsibilities

• Establish scalable, efficient, automated processes for large scale data analyses, model development, model validation and implementation.
• Use advanced causal inference methodologies to estimate the learning curves for different learner profiles and the effectiveness of training content.
• Perform statistical analysis and statistical tests including hypothesis testing and A/B testing.
• Implement new statistical, machine learning, or other mathematical methodologies to solve specific business problems.
• Present deep dives and analysis to both technical and non‑technical stakeholders, ensure clarity, and influence the strategy of business partners.

Skills

SQL

Python

R

SAS

Matlab

Statistical modeling

A/B testing

Education

Master's degree in a quantitative field

Tools

S3

Redshift

SageMaker

EMR

Kinesis

Lambda

EC2

Job description

Data Scientist II, AMZL, Central Learning Solutions Science

The Central Learning Solutions (CLS) Science team in Amazon Operations builds state‑of‑the‑art solutions for enhancing leadership and associate development across the organization. We develop technology and mechanisms for building personalized learning experiences based on the profiles of different learners and assess the post‑training performance curves for different learner profiles.

As a Data Scientist on the team, you will be driving the data science roadmap for the CLS Science team. You will leverage your knowledge in statistics and econometrics, estimate the causal impact of training interventions, recommend the right interventions for a given learner profile, and measure the post‑launch success of these interventions through A/B weblabs. These insights will help in dynamically changing the training content of Learning & Development courses and unlock opportunities to improve both training effectiveness and learner experience. You will collaborate effectively with internal stakeholders and cross‑functional teams for solving business problems, create operational efficiencies, and deliver successfully against high organizational standards.

Key job responsibilities

• Establish scalable, efficient, automated processes for large scale data analyses, model development, model validation and implementation.
• Use advanced causal inference methodologies to estimate the learning curves for different learner profiles and the effectiveness of training content.
• Perform statistical analysis and statistical tests including hypothesis testing and A/B testing.
• Implement new statistical, machine learning, or other mathematical methodologies to solve specific business problems.
• Present deep dives and analysis to both technical and non‑technical stakeholders, ensure clarity, and influence the strategy of business partners.

A day in the life

Amazon offers a full range of benefits that support you and eligible family members, including domestic partners and their children. Benefits can vary by location, the number of regularly scheduled hours you work, length of employment, and job status such as seasonal or temporary employment.

The benefits that generally apply to regular, full‑time employees include:

• Medical, Dental, and Vision Coverage
• Maternity and Parental Leave Options
• Paid Time Off (PTO)
• 401(k) Plan

Location: USA, WA, Bellevue

Salary range: 136,000.00 - 184,000.00 USD annually

Basic Qualifications

• Master's degree in a quantitative field such as statistics, mathematics, data science, business analytics, economics, finance, engineering, or computer science.
• 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, etc.).
• 3+ years of machine learning/statistical modeling and data analysis tools and techniques, and experience with parameters that affect their performance.
• Experience applying theoretical models in an applied environment.
• 2+ years of data scientist experience.

Preferred Qualifications

• Knowledge of relevant statistical measures such as confidence intervals, significance of error measurements, development and evaluation data sets, etc.
• Experience with data scripting languages (e.g., SQL, Python, R, etc.) or statistical/mathematical software (e.g., R, SAS, or Matlab).
• Experience with AWS services including S3, Redshift, SageMaker, EMR, Kinesis, Lambda, and EC2.
• Experience with statistical methods (e.g., A/B Testing, Regression).

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.