AWS Data Scientist

Job Title: AWS Data Scientist

• Contract: (1yr Auto Extendable)
• Work Mode: Remote
• Experience: 3+ years
• CND-based location: Mumbai, Delhi, Chennai, Bangalore, or Pune (any one of the mentioned locations)

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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
• Collect, clean, and preprocess large datasets from various sources.
• Perform exploratory data analysis to identify patterns, trends, and insights.
• Model Development and Implementation
• Develop and implement machine learning models and algorithms to solve business problems
• Optimize and fine-tune models to ensure accuracy and efficiency. AWS Cloud Integration
• Utilize AWS services such as S3, EC2, RDS, Redshift, Bedrock and SageMaker for data storage, processing, and model deployment. Implement data pipelines using AWS Glue, Lambda, and other relevant services.
• Collaboration and Communication:
• Work closely with cross-functional teams, including data engineers, software developers, and business analysts, to understand data needs and deliver solutions
• Communicate findings and insights to stakeholders through reports,
• visualizations, and presentations.
• Continuous Improvement: Stay up to date with the latest trends and
• advancements in data science and AWS technologies.
• Continuously improve processes and methodologies to enhance the quality and efficiency of data science projects.

REQUIREMENTS Skills

• They have at least 3 years of experience as a Data Scientist, specializing in AWS AI and Data Analytics.
• Knowledge of Microsoft Azure is a bonus. 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 nontechnical
• teams. Experience in working with Agile methodologies and version
• control systems

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