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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