Data Scientist

Role: Data Scientist – AWSLocation: 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.