Data Scientist AWS

Posted on August 18, 2025

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Job Description

  • Data Scientist AWS
  • * Required Exp: 3+ yrs
  • * Work Mode: Remote
  • Budget- 70k
  • * The laptop needs to be collected from the following locations: Mumbai, Chennai, Pune,
  • Bangalore, and Gurgaon.
  • Job Description:
  • We are seeking a highly skilled and experienced Data Scientist for AWS to join our team and
  • play a crucial role in designing and implementing data analytics solutions on the Amazon Web
  • Services (AWS) platform. The ideal candidate will have a deep understanding of data analytics
  • technologies, AWS services, and a track record of architecting scalable and efficient data
  • solutions to address complex business challenges.
  • Responsibilities:
  • ? Data Analysis and Interpretation:
  • o Collect, clean, and preprocess large datasets from various sources.
  • o Perform exploratory data analysis to identify patterns, trends, and insights.
  • ? Model Development and Implementation:
  • o Develop and implement machine learning models and algorithms to solve
  • business problems.
  • o Optimize and fine-tune models to ensure accuracy and efficiency.
  • ? AWS Cloud Integration:
  • o Utilize AWS services such as S3, EC2, RDS, Redshift, Bedrock and SageMaker
  • for data storage, processing, and model deployment.
  • o Implement data pipelines using AWS Glue, Lambda, and other relevant
  • services.
  • ? Collaboration and Communication:
  • o Work closely with cross-functional teams, including data engineers, software
  • developers, and business analysts, to understand data needs and deliver
  • solutions.
  • o Communicate findings and insights to stakeholders through reports,
  • visualizations, and presentations.
  • ? Continuous Improvement:
  • o Stay up to date with the latest trends and advancements in data science and AWS
  • technologies.
  • o Continuously improve processes and methodologies to enhance the quality and
  • efficiency of data science projects.
  • Skills
  • ? Proven experience (3+ years) as a Data Scientist, with a focus on AWS AI and Data
  • Analytics technologies, and experience and knowledge on Microsoft Azure AI and Data
  • Analytics technology is a plus.
  • ? Extensive hands-on experience with AWS services such as Amazon Bedrock, Amazon
  • SageMaker, Amazon Redshift, Amazon EMR, Amazon Kinesis, AWS Glue, etc
  • ? Strong understanding of AWS services and architecture.
  • ? Proficiency in data processing and analysis using tools like SQL, Pandas, NumPy, and
  • Spark, and experience with data manipulation and transformation.
  • ? Good understanding of data modeling, ETL processes, data warehousing, and data
  • governance principles.
  • ? Excellent problem-solving skills with the ability to design and implement creative
  • solutions for complex data challenges.
  • ? Knowledge of data governance and compliance standards.
  • ? Strong communication skills to effectively collaborate with technical and non-technical
  • teams.
  • ? Experience in working with Agile methodologies and version control systems.
  • ? Proven ability to work independently and manage multiple priorities effectively.
  • Education and Certification
  • ? Bachelors or associate degree in IT discipline
  • ? Certification in AWS Certified: AI Practitioner or AWS Certified: Machine
  • Learning Engineer is added advantage.

Required Skills

aws certified data modeling etl processes data warehousing sql pandas numpy amazon redshift amazon emr amazon kinesis aws glue