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Responsibilities
Work with the product and research teams, and academic partners, to implement sophisticated models on big data.
Analyze large data sets from the product catalog, including prices, promotions, and inventory, and evaluate their impact on millions of dollars worth of inventory.
Conduct all phases of research projects: define research questions, gather data, build and evaluate competing models, and communicate the results.
Provide data‑driven, business‑relevant recommendations to stakeholders.
Formalize model assumptions, detect and explain outliers, and propose fixes.
Use Python, R, Scala, or similar languages to build statistical and machine‑learning models.
Communicate findings verbally and in writing to audiences of varying technical levels.
Qualifications & Skills
Master’s or PhD in Machine Learning, Data Science, Statistics, Applied Mathematics, Physics, Computer Science, or Economics.
3+ years of experience in an analytical role involving data extraction, statistical modeling, and communication.
3+ years of experience with data querying languages (e.g., SQL, Hadoop/Hive). Experience with MongoDB, MySQL, or similar databases is preferred.
Fluency in a scripting or computing language such as Python, Scala, C++, or Java.
Experience processing, filtering, and presenting large datasets (millions to billions of rows) from product or business functions.
Hands‑on experience with machine‑learning/deep‑learning techniques for real‑world problems.
Natural curiosity, passion for solving real‑world problems, and ability to work in a dynamic environment.
Seniority Level Mid‑Senior level.
Employment Type Full‑time.
Job Function Engineering and Information Technology.
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Sprachkenntnisse
- English
Hinweis für Nutzer
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