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Agent guide: [/agents.md](https://www.wearedevelopers.com/agents.md). --- # Sr. Data Scientist, Capacity Planning - **Company:** Amazon.com, Inc. - **Location:** Seattle, WA, United States - **Experience:** Expert - **Salary:** $159,200.0 - $215,300.0 - **Contract:** Permanent contract - **Skills:** Amazon Web Services, Big Data, Customer Data Management, Information Engineering, Data Infrastructure, Data Visualization, Query Languages, R (Programming Language), Apache Hadoop, Python (Programming Language), Logistic Regression, MATLAB, Machine Learning, Mathematical Software, Operational Data Store, Power BI, SAS (Software), SQL Databases, Tableau (Software), Scripting, Apache Spark, Data Strategy, Optimization Algorithms, Data Analytics, Data Management, Data Pipelines - **Published:** July 19, 2026 - **Apply:** https://dejobs.org/x/x/6868091086974CD3BA983AABF12B9511/job/ ## About the Role AWS Support's Capacity Planning team is looking for a strong, talented Data Scientist to model contact and volume forecasting, discovering insights and identifying opportunities through the use of statistics, machine learning, and combinatorial optimization problems to drive business and operational improvements. You are passionate about building solutions that will help drive a more efficient operations network and optimize cost. In this role, you will partner with data engineering, tooling team, operations, training, workforce management and finance teams, driving optimization and prediction solutions across the network influencing the long-term strategy of the business. We are looking for an experienced and motivated Data Scientist with proven abilities to build and manage modeling projects, forecasting solutions, identify data requirements, build methodology and tools that are statistically grounded. You are an expert in the areas of data science, forecasting, optimization, machine learning and statistics, and is comfortable facilitating ideation and working from concept through execution. You are customer obsessed, innovative, independent, results-oriented and enjoys working in a fast-paced growing organization. An interest in operations, process improvement is helpful. The ability to embrace this ambiguity and work with a highly distributed team of experts is critical. While this is a small team, there is opportunity to own globally impactful work and grow your career in technical, programmatic or people leadership. You will likely to work in Python or R, building forecasting, predictive and optimization models. Your problem solving ability, knowledge of data models and ability to drive results through ambiguity are more important to us., * 5+ years of data querying languages (e.g. SQL), scripting languages (e.g. Python) or statistical/mathematical software (e.g. R, SAS, Matlab, etc.) experience * 4+ years of data scientist experience * Experience with statistical models e.g. multinomial logistic regression Preferred Qualifications * 2+ years of data visualization using AWS QuickSight, Tableau, R Shiny, etc. experience * Experience managing data pipelines * Experience as a leader and mentor on a data science team ## Description Do you have proven analytical capabilities to identify business opportunities, develop predictive models and optimization algorithms to help us build state of the art Support organization?, * 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 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: o Analyze historical data and identifying patterns, to forecast future outcomes and provide inputs into strategic plans o 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 o Analyze financial data, to identify cost-saving opportunities, optimize pricing strategies, and forecast revenue growth helping the leaders to make informed decisions o Analyze operational data, to identify bottlenecks, inefficiencies, and areas for process improvement, helping in streamlining operations, reducing costs, and improving customer satisfaction ## Related Videos - [Alibaba Big Data and Machine Learning Technology](https://www.wearedevelopers.com/videos/37-alibaba-big-data-and-machine-learning-technology) - [Beyond Dashboards: Fixing Text-to-SQL with Semantic RAG](https://www.wearedevelopers.com/videos/2036-beyond-dashboards-fixing-text-to-sql-with-semantic-rag) - [Leveraging Large Language Models for Legacy Code Translation: Challenges and Solutions](https://www.wearedevelopers.com/videos/1157-leveraging-large-language-models-for-legacy-code-translation-challenges-and-solutions) - [Data Science in Retail](https://www.wearedevelopers.com/videos/586-data-science-in-retail) - [Data Analytics with Microsoft Fabric: End-to-End Use Case with Data Agents](https://www.wearedevelopers.com/videos/1547-data-analytics-with-microsoft-fabric-end-to-end-use-case-with-data-agents) - [PySpark - Combining Machine Learning & Big Data](https://www.wearedevelopers.com/videos/44-pyspark-combining-machine-learning-big-data) ## Related Articles - [Top Big Data Technologies That You Need to Know](https://www.wearedevelopers.com/magazine/108-top-big-data-technologies-that-you-need-to-know) - [Making Data Warehouses Fast: A Developer’s Story](https://www.wearedevelopers.com/magazine/107-making-data-warehouses-fast-a-developer-s-story) - [Highest Paying Tech Companies for Developers](https://www.wearedevelopers.com/magazine/220-highest-paying-tech-companies-for-developers) - [Data Engineer Salary UK](https://www.wearedevelopers.com/magazine/253-data-engineer-salary-uk) - [7 Cloud Computing Trends Coming in 2025 for Developers](https://www.wearedevelopers.com/magazine/412-7-cloud-computing-trends-coming-in-2025-for-developers) - [Data Analyst Salary in the UK](https://www.wearedevelopers.com/magazine/278-data-analyst-salary-in-the-uk)