Amazon.com Services LLC

E-Commerce

AppliedScientistII

$136–223k Seattle, Washington, United States FULL TIME
Market Sentiment
HIGH DEMAND

Neural analysis suggests this role is
optimal for Mid candidates.

The Brief

“Applied Scientist II at Amazon.com Services LLC. Skills: Data Science, Machine Learning, Data Engineering, Business Intelligence. Develop and deploy machine learning models. Design and implement data pipelines”

Industry & Context.

E Commerce
Problems you'll solve

Root cause analysis

What They're Looking For.

Must Have

5+ years of experience in data science or related field, Proficiency in SQL, Experience with Python or R

Nice to Have

PhD in a quantitative field, Experience with AWS, GCP, or Azure, Experience with ML frameworks like TensorFlow or PyTorch, Experience with BI tools like Tableau or Power BI, Experience with data warehousing solutions like Snowflake or Redshift

What You'll Do.

Develop and deploy machine learning models

Design and implement data pipelines

Build and maintain business intelligence dashboards

Perform statistical analysis and A/B testing

Collaborate with engineering teams

Communicate findings to stakeholders

Stay updated on industry trends

How You'll Work.

Team & Collaboration

Cross-functional teams; Engineering teams; Stakeholders

Communication Scope

Present findings

Full Job Description

Join us in the evolution of Amazon’s Seller business! The Selling Partner Growth organization is the growth and development engine for our Store. Partnering with business, product, and engineering, we catalyze SP growth with comprehensive and accurate data, unique insights, and actionable recommendations and collaborate with WW SP facing teams to drive adoption and create feedback loops. We strongly believe that any motivated SP should be able to grow their businesses and reach their full potential supported by Amazon tools and resources. We are looking for a Applied Scientist II to identify data-driven insight and opportunities to improve our SP growth strategy and drive new seller success. As a successful applied scientist on our talented team of applied scientists and economists, you will solve complex problems to identify actionable opportunities, and collaborate with engineering, research, and business teams for future innovation. You need to have deep understanding on the business domain and have the ability to connect business with science. You are also strong in ML modeling and scientific foundation with the ability to collaborate with engineering to put models in production to answer specific business questions. You are an expert at synthesizing and communicating insights and recommendations to audiences of varying levels of technical sophistication. You will continue to contribute to the research community, by working with scientists across Amazon, as well as collaborating with academic researchers and publishing papers (www.aboutamazon.com/research). Key job responsibilities As a Sr. Applied Scientist in the team, you will: - Identify opportunities to improve SP growth and translate those opportunities into science problems via principled statistical solutions (e.g. ML, causal, RL). - Mentor and guide the applied scientists in our organization and hold us to a high standard of technical rigor and excellence in MLOps. - Design and lead roadmaps for complex

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