Senior Data Scientist, Capacity Planning & Forecasting

Amazon; San Francisco (CA); On-site; USD 159,200 - 215,300; Full time

Benefits offered by this job

Health insurance

401(k) matching

Paid time off

Parental leave

Job summary

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.

Qualifications

• 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.

Responsibilities

• 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.

Skills

SQL

Python

R

SAS

Matlab

Tools

Apache Spark

Hadoop

Job description

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.