Amazon.com Services LLC
E-Commerce
AppliedScientistII
Neural analysis suggests this role is
optimal for Mid candidates.
“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.
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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