Data Scientist

undefined ago • 3-5 Years • Data Analysis

Job Summary

Job Description

We are looking for a highly motivated and skilled Data Scientist with strong Data Engineering capabilities to join our team. The ideal candidate will have hands-on experience in building scalable data pipelines, developing and evaluating machine learning models, and implementing Generative AI solutions on AWS. This role requires a solid understanding of Python, PySpark, SQL, and AWS cloud services, as well as the ability to communicate technical insights to non-technical stakeholders.
Must have:
  • Design, develop, and optimize scalable ETL pipelines using PySpark, AWS Glue, and other AWS data services.
  • Create robust data preparation, model training, and inference pipelines for AI/ML workflows.
  • Evaluate machine learning model performance and communicate findings to key stakeholders.
  • Design and develop Retrieval-Augmented Generation (RAG) applications using Generative AI models.
  • Work extensively with AWS services including Glue, Athena, S3, SageMaker, DynamoDB, and OpenSearch.
  • Collaborate with cross-functional teams to understand business requirements and translate them into scalable technical solutions.
  • Ensure data quality, integrity, and governance across all data pipelines and models.
  • 4+ years of professional experience in Python programming.
  • 2+ years of experience with PySpark for large-scale data processing.
  • 4+ years of hands-on experience in Machine Learning / Artificial Intelligence, including model development, evaluation, and deployment.
  • 3+ years working with AWS services.
  • 2+ years of experience working with Generative AI and implementing RAG pipelines.
  • Strong proficiency in SQL for data querying and transformation.
  • Experience with version control (Git), CI/CD practices, and cloud-based deployment.
Perks:
  • Opportunity to work on cutting-edge AI/ML projects in the financial domain.
  • Collaborative work environment with experienced data scientists and finance professionals.
  • Competitive salary and benefits, along with career growth opportunities.
  • Exposure to real-world financial datasets and AI-driven decision-making

Job Details

Job Description: Data Scientist

Job Overview:

We are looking for a highly motivated and skilled Data Scientist with strong Data Engineering capabilities to join our team. The ideal candidate will have hands-on experience in building scalable data pipelines, developing and evaluating machine learning models, and implementing Generative AI solutions on AWS.

This role requires a solid understanding of Python, PySpark, SQL, and AWS cloud services, as well as the ability to communicate technical insights to non-technical stakeholders.

Key Responsibilities

  • Design, develop, and optimize scalable ETL pipelines using PySpark, AWS Glue, and other AWS data services.
  • Create robust data preparation, model training, and inference pipelines for AI/ML workflows.
  • Evaluate machine learning model performance and communicate findings to key stakeholders.
  • Design and develop Retrieval-Augmented Generation (RAG) applications using Generative AI models.
  • Work extensively with AWS services including Glue, Athena, S3, SageMaker, DynamoDB, and OpenSearch.
  • Collaborate with cross-functional teams to understand business requirements and translate them into scalable technical solutions.
  • Ensure data quality, integrity, and governance across all data pipelines and models.

Required Skills & Qualifications:

  • 4+ years of professional experience in Python programming.
  • 2+ years of experience with PySpark for large-scale data processing.
  • 4+ years of hands-on experience in Machine Learning / Artificial Intelligence, including model development, evaluation, and deployment.
  • 3+ years working with AWS services, particularly:
  • AWS Glue, Athena, S3
  • Amazon SageMaker
  • DynamoDB, OpenSearch
  • 2+ years of experience working with Generative AI and implementing RAG pipelines.
  • Strong proficiency in SQL for data querying and transformation.
  • Experience with version control (Git), CI/CD practices, and cloud-based deployment.
  • Excellent problem-solving skills and the ability to communicate technical concepts clearly to both technical and non-technical audiences.

About:

A premier data analytics company based in Bangalore, India, specializing in delivering tailored insights and solutions to empower businesses across various industries.

Key Highlights:

  • Expertise: , offers dedicated analytical solutions, including AI and ML applications, customer experience enhancement, marketing analytics, sales maximization, and pricing optimization.
  • Industries Served: The company caters to sectors such as retail, consumer packaged goods (CPG), manufacturing, telecommunications, healthcare, banking, finance, insurance, and technology.
  • Location: Their office is located at 6th Floor, Tower 3, WARP SJR I Park, #13, 14 & 15, EPIP, opposite Sri Sathya Sai Hospital, Whitefield, Bangalore - 560066.

Why Join Us?

  • Opportunity to work on cutting-edge AI/ML projects in the financial domain.
  • Collaborative work environment with experienced data scientists and finance professionals.
  • Competitive salary and benefits, along with career growth opportunities.
  • Exposure to real-world financial datasets and AI-driven decision-making

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