Senior Data Scientist, MAPLE

Amazon Lab126

Amazon Lab126 is at the forefront of creating cutting-edge personalization systems for their customers. The Senior Data Scientist role is pivotal in enhancing Amazon's recommendation algorithms, blending traditional data science with innovative research. The dynamic MAPLE team values collaboration and individual growth, focusing on impactful solutions for customer satisfaction and business progression.

In this role you can expect to have the responsibilities:

• Design, develop, and update data-driven personalization models.
• Apply supervised and uplift learning to improve machine learning performance.
• Research and implement statistical and machine learning approaches.
• Design and analyze A/B tests for insights.
• Collaborate with stakeholders to align on business focus areas.
• Mentor junior engineers and scientists.

This role comes with the following benefits:

• Competitive annual salary with potential equity, sign-on payments, and other compensations.
• A complete range of medical, financial, and other benefits.

This role requires you to have:

• Expertise in SQL, Python, R, SAS, or Matlab for data querying and analysis.
• 6+ years in data science with experience in data extraction and statistical modeling.
• Strong understanding of statistical concepts and hypothesis testing.

You would benefit from having:

• Experience in managing data pipelines.
• Background in developing recommender systems.
• Experience with A/B testing and deriving insights.

Amazon embraces diversity and inclusion, ensuring a supportive workplace. They do not discriminate based on race, national origin, gender, or other legally protected status. The company offers accommodations for candidates with disabilities during the hiring process.