Job Description

Job Title: Data Scientist for AWS

Experience: 3+ Years

Job Type: Contract/Full time

Job Location: Onsite/Remote

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.

What we need to see from you

Report to practice lead.

Work closely with sales team to develop opportunities and solution proposal

Work within project team to develop and test data analytics platform and model

Design, develop, and unit test in accordance with established standards.

Assist project team in analyzing and resolving technical issues.

Assist in preparing manuals, specification and other technical documentations.

Package and support deployment releases.

Assisting in the collection and documentation of user's requirements, development of user stories, and estimates.

Job Type: Full-time

Work Location: In person