Data Scientist II, AMZL, Central Learning Solutions Science (Fulfillment & Operations)

Amazon; Bellevue (WA); On-site; USD 136,000 - 184,000; Full time

Job summary

Amazon’s Central Learning Solutions Science team in North America Operations seeks a Data Scientist II to develop learning analytics for leadership and associate development. You will build scalable analyses, apply causal inference to learner profiles, and assess training content impact.

The role involves conducting statistical tests, presenting insights to diverse stakeholders, and influencing business decisions from a global platform based in Bellevue, WA.

Qualifications

• Master's degree in statistics, mathematics, data science, economics, finance, engineering, or CS.
• 3+ years querying languages (SQL) or scripting (Python) or software (R/SAS/Matlab).
• 3+ years ML/statistical modeling and data analysis tools and techniques.
• Experience applying theoretical models in an applied environment.
• 2+ years of data scientist experience.

Responsibilities

• Establish scalable, automated processes for large-scale data analyses, model development, validation, and deployment.
• Use advanced causal inference to estimate learning curves for different profiles and training content effectiveness.
• Perform statistical analyses and hypothesis/A/B testing to derive actionable insights.
• Implement new ML or statistical methods to solve business problems.
• Present deep-dives to technical and non-technical stakeholders to influence strategy.

Skills

SQL

Python

R

SAS

Matlab

A/B Testing

Statistics

Machine Learning

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

Job ID: 10479689 | Amazon.com Services LLC

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.

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.

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

If you are not sure that every qualification on the list above describes you exactly, we'd still love to hear from you!

At Amazon, we value people with unique backgrounds, experiences, and skillsets. If you’re passionate about this role and want to make an impact on a global scale,

About the team

Central Learning Solutions (CLS) is the centralized technical team that builds Learning & Development products for North America Operations employees. CLS Science teams owns the science components that power the different products on Impact Estimation, Self Serve Analytics, Content Understanding, and Personal learning.

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 data querying languages (e.g. SQL), scripting languages (e.g. Python) or statistical/mathematical software (e.g. R, SAS, Matlab, etc.) experience
• 3+ years of machine learning/statistical modeling data analysis tools and techniques, and parameters that affect their performance experience
• 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.

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&D 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 https://amazon.jobs/en/benefits .

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.

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&D 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 https://amazon.jobs/en/benefits .

USA, WA, Bellevue - 136,000.00 - 184,000.00 USD annually

Amazon is an equal opportunity employer and does not discriminate on the basis of protected veteran status, disability, or other legally protected status.