Senior Data Scientist

Job Description

Job Description

Salary : $135000

Are you passionate about turning massive datasets into real-time insights that drive smarter business decisions? As a Senior Data Scientist, youll harness the full power of Amazon Web Services (AWS) to design large-scale data mining solutions, build predictive models with SageMaker and Forecast, and shape cutting-edge analytics that make a real impact. Youll collaborate with machine learning experts, product leaders, and technologists in a fast-paced, entrepreneurial environment where innovation isnt just encouragedits expected.

The Senior Data Scientist will utilize Amazon Web Services (AWS) to enable large-scale data mining and real-time analytical solutions. You will be part of a fast-paced, entrepreneurial team focused on leveraging AWS services like Forecast and Sage Maker to build innovative solutions.

Principal Accountabilities :

• Help build a foundation for state-of-the-art technical capabilities on AWS to support ongoing and planned data analytics projects. Stay on top of AWS achievements to provide forward-thinking recommendations to clients.
• Work alongside machine learning experts, technologists, product managers and other analysts to solve complex business problems using AWS services. Identify what data to collect, devise methods to extract it, and develop processes to transform raw data into insights using AWS tools.
• Investigate data visualization and summarization techniques for conveying key findings related to applied analytics on AWS.
• Design and deploy GenAI-powered applications using AWS-native services, enabling automated insights, natural language interfaces, and advanced content generation
• Proven experience designing and deploying GenAI solutions using AWS services (e.g., SageMaker, Bedrock), with deep understanding of agent-based frameworks, orchestration tools, and Retrieval-Augmented Generation (RAG) pipelines
• Establish strong working relationships with business analysts to understand requirements and determine optimal AWS services.
• Analyze technical needs and infrastructure design to determine integration with AWS cloud architecture.
• Follow AWS best practices, internal standards, budgets, and processes. Plan how code will integrate with AWS services like S3, Lambda, DynamoDB, Bedrock
• Collaborate with project managers to estimate costs of AWS services needed for proposed solutions. Develop overall implementation plans leveraging AWS.
• Communicate proposed AWS solutions to clients with detailed documents. Provide support installing, customizing, and integrating AWS cloud services.
• Support development teams to review code integrating with AWS services. Assist QA testing of AWS functionalities.
• Provide support for AWS-related issues in development or implementation. Capture AWS architecture details for traceability.

Required :