Data Science Manager

2 days ago

Chennai, Tamil Nadu, India Arting Digital Full time US$ 1,50,000 - US$ 2,00,000 per year

Position :
Data Science Manager

Experience :
5 - 8 yr

Location :
Chennai

Working Mode :
Hybrid

Skills
: 5yr hand on experience in Data Science, AI, Gen AI

Responsibilities

  • Implement the complete analytical section of the product based on the defined functional scope, including necessary documentation and prototypes.
  • Extract, collate, and cleanse data from various entities.
  • Identify suitable databases (SQL/NoSQL) for data storage and various technology stacks and libraries for data analysis and processing.
  • Implement industry-standard statistical models with Machine Learning and Deep Learning algorithms, incorporating predictive and auto-learning capabilities.
  • Identify meaningful insights and foresights from data and metadata sources based on the models.
  • Interpret and communicate findings to the product manager to derive more business strategies.
  • Visualize various dimensions of data for both web and mobile platforms.
  • Showcase output through demos, prototypes, and working systems in regular review meetings.
  • Continuously refine models for accuracy.
  • Analyze, review, and track trends and tools in Data Sciences, Machine Learning, Artificial Intelligence, and Augmented Intelligence, and appropriately apply these learnings to the product.
  • Interface the analytical system with transaction systems for both information reporting and to process actionable items derived through analytics.
  • Ensure Quality, Security, Performance, Scalability, Reliability, and Availability are key factors in the implementation of the analytics system.
  • Deploy and train various Large Language Models (LLMs) for AI agents and domain-specific applications.
  • Implement Retrieval Augmented Generation (RAG) pipelines along with Vector databases to enhance the intelligence of LLMs and agent performance.
  • Stay up-to-date with advancements in AI, including emerging LLM architectures and agentic AI frameworks and technologies.

Qualifications

  • Bachelor's or Master's degree in Computer Science, Data Science, Statistics, or a related quantitative field.
  • 5-7 years of experience in data science, with a proven track record of leading and implementing data science projects.
  • Strong expertise in statistical modeling, machine learning, and deep learning algorithms.
  • Proficiency in programming languages such as Python or R.
  • Experience with SQL/NoSQL databases and big data technologies.
  • Familiarity with data visualization tools.
  • Experience with LLMs, RAG pipelines, and vector databases is highly desirable.
  • Excellent communication and interpersonal skills, with the ability to interpret and present complex data insights to non-technical

stakeholders.

  • Ability to work independently and collaboratively in a fast-paced environment.
  • Experience in the banking domain is an added advantage.

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