Senior Data Scientist, Capacity Planning & Forecasting

Amazon

San Francisco (CA)

Vor Ort

USD 159.200 - 215.300

Vollzeit

14 Tage+

Eine vollständige Bewerbung in einer Minute

Maßgeschneiderter Lebenslauf und Anschreiben – versandbereit.

Schaffe es an den ATS-Filtern vorbei

Benefits dieser Stelle

Health insurance
401(k) matching
Paid time off
Parental leave

Zusammenfassung

Amazon Web Services (AWS) is seeking a data scientist to identify business opportunities, develop predictive models, and optimize algorithms to enhance our Support organization. You will lead data-driven initiatives, collaborate with cross-functional teams, and leverage Spark/Hadoop for large-scale processing.

Base salary ranges across locations in the US, with comprehensive benefits including health insurance, 401(k) matching, paid time off, and parental leave. Equal opportunity employer.

Qualifikationen

  • 5+ years of experience with data querying languages (e.g. SQL), scripting languages (e.g. Python) or statistical/mathematical software (e.g. R, SAS, Matlab).
  • 4+ years of data scientist experience.
  • Experience with statistical models such as multinomial logistic regression.

Aufgaben

  • Establish and execute data management and strategy frameworks including data collection, storage, integration and ensuring data quality and integrity.
  • Collaborate with cross-functional teams to identify data-related challenges and opportunities, develop data-driven solutions, and align data strategy with the organization’s overall objectives.
  • Conduct thorough research and analysis to understand the organization’s data needs and requirements, including evaluating existing data infrastructure and systems, identifying gaps and areas for improvement, and proposing innovative solutions.
  • Leverage large-scale data processing frameworks, such as Apache Spark or Hadoop, to handle big data and ensure efficient model training and evaluation.
  • Continuously evaluate and improve machine learning models by incorporating feedback from stakeholders, monitoring their performance in real-world scenarios, and exploring new algorithms and techniques to enhance accuracy and efficiency.
  • Develop and implement machine learning models that drive business value: Analyze historical data and identifying patterns, to forecast future outcomes and provide inputs into strategic plans.
  • Analyze customer data and market trends, to help develop targeted go-to-market strategies that our efforts are data driven and have a higher chance of success.
  • Analyze financial data, to identify cost-saving opportunities, optimize pricing strategies, and forecast revenue growth, helping the leaders to make informed decisions.
  • Analyze operational data, to identify bottlenecks, inefficiencies, and areas for process improvement, helping in streamlining operations, reducing costs, and improving customer satisfaction.

Kenntnisse

SQL
Python
R
SAS
Matlab

Tools

Apache Spark
Hadoop

Jobbeschreibung

Amazon Web Services (AWS) is seeking a data scientist to identify business opportunities, develop predictive models, and optimize algorithms to enhance our Support organization. You will lead data-driven initiatives, collaborate with cross-functional teams, and leverage Spark/Hadoop for large-scale processing.

Base salary ranges across locations in the US, with comprehensive benefits including health insurance, 401(k) matching, paid time off, and parental leave. Equal opportunity employer.

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