AWS Data Scientist

Job Title:

Required Experience: 3+ yrs

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.

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.