Data Science

4 months ago

Hyderabad, India Uditcosmetech Full time



Job Overview

We are seeking a Senior Data Scientist for a full-time, hybrid role based in Hyderabad. This role involves leveraging data science techniques to derive meaningful insights that directly influence our business strategies and solutions. The ideal candidate will have extensive experience in Java, NLP, Spring Framework, AWS, Machine Learning, and JavaScript.


Qualifications and Skills

  • Strong proficiency in Java, including core libraries and design patterns, to develop complex algorithms and solutions.
  • Experience with Natural Language Processing (NLP) techniques and tools to extract and analyze meaningful information from unstructured data.
  • Deep understanding of the Spring Framework, including dependency injection, aspect-oriented programming, and transaction management.
  • Hands-on experience with AWS services such as S3, EC2, Lambda, and Redshift, for scalable and efficient data processing and storage.
  • Expertise in Machine Learning algorithms, model building, and data pre-processing to deliver predictive insights and data-driven decisions.
  • Proficient in JavaScript for integrating machine learning models with front-end applications, ensuring smooth user interaction.
  • Strong analytical and problem-solving skills, with the ability to think critically and make data-informed decisions.
  • Excellent communication skills to articulate complex data findings to both technical and non-technical stakeholders.


Roles and Responsibilities

  • Analyze large datasets to identify trends, patterns, and insights that will drive business strategies and solutions.
  • Develop and deploy machine learning models and algorithms to solve complex business problems.
  • Implement NLP techniques to extract valuable insights from text data.
  • Collaborate with cross-functional teams to integrate data-driven solutions into existing systems.
  • Optimize data processing and storage solutions on AWS to ensure scalability and efficiency.
  • Maintain and enhance existing data science models and algorithms to keep them up-to-date and accurate.
  • Present results and insights to stakeholders, providing actionable recommendations based on data analysis.
  • Stay up-to-date with the latest advancements in data science and machine learning fields to continuously improve skill sets and methodologies.

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