This onsite Senior Data Scientist role at Amazon Web Services (AWS) in Dallas, TX focuses on capacity planning for AWS Support. The position models contact and volume forecasting and develops forecasting, optimization, and data-driven solutions to improve operations and reduce costs. The role partners with data engineering, operations, workforce management, and finance to scale modeling across the network.
Responsibilities
- Define and implement data management and strategy frameworks covering data collection, storage, integration, and safeguarding data quality and integrity.
- Work with cross-functional teams to identify data challenges and opportunities, design data-driven solutions, and align the data strategy with organizational goals.
- Perform thorough analyses to determine data needs and requirements, assess current data infrastructure and systems, identify gaps, and propose innovative improvements.
- Utilize large-scale data processing frameworks such as Apache Spark or Hadoop to manage big data and support efficient model training and evaluation.
- Continuously monitor and refine machine learning models by incorporating stakeholder feedback, tracking performance in production, and exploring new algorithms to improve accuracy and efficiency.
- Develop and implement machine learning models that drive business value by analyzing historical data to forecast outcomes and inform strategic plans.
- Analyze customer data and market trends to support data driven go to market strategies with higher likelihood of success.
- Analyze financial data to identify cost-saving opportunities, optimize pricing, and forecast revenue growth to inform leadership decisions.
- Analyze operational data to identify bottlenecks and inefficiencies, supporting process improvements and improved customer satisfaction.
Requirements
- 5+ years of experience with data querying languages (SQL), scripting languages (Python), or statistical/mathematical software (R, SAS, Matlab, etc.).
- 4+ years of data science experience.
- Experience with statistical models such as multinomial logistic regression.
Technologies
- Python
- R
- SQL
- SAS
- Matlab
- Apache Spark
- Hadoop
- AWS QuickSight
- Tableau
- R Shiny
Benefits
- Health insurance
- 401(k) matching
- Paid time off
- Parental leave
About the Team
AWS values diverse experiences. Even if you do not meet all of the preferred qualifications and skills listed in the job description, we encourage candidates to apply. If your career path has been unconventional or includes alternative experiences, you are encouraged to apply.
Why AWS?
Amazon Web Services (AWS) is the world’s most comprehensive and broadly adopted cloud platform. We pioneered cloud computing and continue to innovate, which is why customers from startups to Global 500 companies rely on our robust products and services to power their businesses.
Inclusive Team Culture
At AWS, learning and curiosity come naturally. Our employee-led affinity groups foster inclusion and pride in our differences. Ongoing events and learning experiences, including Conversations on Race and Ethnicity CORE and AmazeCon conferences, inspire us to embrace our uniqueness.
Mentorship & Career Growth
We continually raise the performance bar as we strive to become Earths Best Employer. You will find extensive knowledge sharing, mentorship, and resources designed to help you grow into a well-rounded professional.
Work/Life Balance
We value work life harmony and offer flexibility as part of our culture. When employees feel supported at work and at home, they can achieve success in the cloud.
