Data Scientist

Find below the JD for the opening of  Associate Data Scientist - TechMango

Role: Associate Data Scientist

Experience: 3+ years

Work Mode: Remote

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.

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

Certification

• Certification in AWS Certified: AI Practitioner or AWS Certified: Machine Learning Engineer is an added advantage