Data Scientist II: Scalable ML & Big Data Analytics

Amazon Inc.

Phoenix (AZ)

In loco

USD 159.000 - 184.000

Tempo pieno

5 giorni fa
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Descrizione del lavoro

AMAZON.COM SERVICES LLC is hiring a Data Scientist II in Culver City, CA. You will design scalable approaches to support business decisions, build data pipelines with SQL/ETL, and access Oracle, RedShift, and Spark systems. You will develop statistical, econometric, ML, NLP models and validate them against KPIs.

Requires Master’s degree or Bachelor’s with 5 years of experience, plus strong SQL, Python, R, and MATLAB skills. 40 hours/week, $158,681–$184,000/year, equal opportunity employer.

Competenze

  • Master’s degree or equivalent in statistics, applied math, econ, eng, CS, or related field with 1 year of relevant experience.
  • Bachelor’s degree or equivalent with 5 years of progressive post-baccalaureate experience.
  • Experience writing SQL scripts for analysis and data migration.

Mansioni

  • Design and implement scalable approaches to support or automate decision making across the business.
  • Acquire data by building SQL/ETL queries and access Oracle, RedShift, and Spark systems.
  • Build and validate models using statistical, econometric, ML, and NLP techniques.
  • Ensure models meet performance, accuracy, and production reliability requirements.

Conoscenze

Statistical modeling
Machine learning
SQL
R
Python
MATLAB

Formazione

Master’s degree in related field
Bachelor’s degree + 5 years experience alternative

Strumenti

SQL scripting
R
Python
MATLAB

Descrizione del lavoro

AMAZON.COM SERVICES LLC is hiring a Data Scientist II in Culver City, CA. You will design scalable approaches to support business decisions, build data pipelines with SQL/ETL, and access Oracle, RedShift, and Spark systems. You will develop statistical, econometric, ML, NLP models and validate them against KPIs.

Requires Master’s degree or Bachelor’s with 5 years of experience, plus strong SQL, Python, R, and MATLAB skills. 40 hours/week, $158,681–$184,000/year, equal opportunity employer.

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