Role: Data Scientist – AWS
Location: Gurgaon/Pune/Bengaluru (Remote)
Duration: 03-06 Months (Possibility of extension)
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:
- 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.