Are you passionate about transforming data into actionable insights and building scalable analytics solutions on the cloud? We’re looking for a Data Scientist – AWS to join our growing team and play a key role in designing, developing, and deploying innovative data solutions on Amazon Web Services.

🔍 About the Role

As a Data Scientist specializing in AWS, you’ll leverage cutting-edge cloud technologies to solve complex business challenges. You’ll work with diverse datasets, design end-to-end data pipelines, and build machine learning models that drive strategic decision-making.

This role combines hands-on technical expertise with strategic thinking — perfect for someone who thrives in a collaborative and fast-paced environment.

💡 Key Responsibilities

Collect, clean, and preprocess large datasets from multiple sources.
Perform exploratory data analysis to uncover trends, patterns, and insights.
Develop and implement machine learning models using AWS services.
Optimize and fine-tune models for improved performance and accuracy.
Design scalable data pipelines using AWS Glue, Lambda, and related tools.
Leverage AWS services like S3, EC2, RDS, Redshift, Bedrock, and SageMaker for end-to-end analytics workflows.
Collaborate with cross-functional teams — data engineers, analysts, and developers — to deliver impactful solutions.
Present insights through compelling reports, dashboards, and visualizations.
Stay updated with the latest in AWS AI/ML and data science innovations.
Support sales and business teams in proposal creation and client engagement.

🧠 Requirements & Qualifications

3+ years of experience as a Data Scientist, with strong focus on AWS AI & Data Analytics services.
Proven experience with AWS tools such as Bedrock, SageMaker, Redshift, EMR, Kinesis, Glue.
Proficiency in Python (Pandas, NumPy, Spark) and SQL for data manipulation.
Strong understanding of data modeling, ETL processes, warehousing, and governance.
Excellent analytical, problem-solving, and communication skills.
Familiarity with Agile methodologies and version control systems (Git).
Bachelor’s or Associate degree in Computer Science, IT, or related discipline.

🌟 Why Join Us?

Work with cutting-edge AWS cloud and AI/ML technologies.
Collaborate with passionate data professionals who love solving meaningful problems.
Opportunity to influence business decisions through data-driven insights.
Continuous learning environment with growth opportunities and certifications.

📩 Ready to shape the future of data analytics with AWS?

Apply now and be part of a team that’s redefining how organizations turn data into strategy.