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Data Scientist

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About Datastunt Labs:
Datastunt Labs is at the forefront of building innovative data-driven solutions. We specialize in advanced analytics, AI-powered applications, and LLM-based systems that transform raw data into actionable insights. Our team thrives on creativity, collaboration, and solving complex problems using cutting-edge technologies.

Role Overview:
We are seeking a talented Data Scientist with 2+ years of professional experience to join our team. The ideal candidate will have strong programming skills, hands-on experience with APIs and data engineering, and a solid understanding of large language models (LLMs). You will play a key role in designing, developing, and deploying data-driven solutions that power our AI and analytics products.

Key Responsibilities:

  • Design, develop, and maintain scalable data pipelines and ETL processes.
  • Analyze large datasets to extract actionable insights and inform product decisions.
  • Build and deploy machine learning models, including working with LLMs and AI frameworks.
  • Integrate and manage data via APIs from internal and external sources.
  • Collaborate with engineering and product teams to implement data solutions end-to-end.
  • Optimize existing models and pipelines for performance and scalability.
  • Document methodologies, processes, and workflows for reproducibility.

Required Qualifications:

  • Bachelor’s or Master’s degree in Computer Science, Data Science, Statistics, or related field.
  • Minimum 2 years of experience as a Data Scientist or in a related role.
  • Proficient in programming languages such as Python, R, or Java.
  • Hands-on experience with data engineering tools, SQL/NoSQL databases, and ETL pipelines.
  • Experience working with APIs for data integration.
  • Understanding and practical experience with machine learning, deep learning, and LLMs.
  • Strong problem-solving skills and ability to work in a collaborative environment.
  • Excellent communication skills to convey complex technical concepts to non-technical stakeholders.

Preferred Qualifications:

  • Experience with cloud platforms like AWS, GCP, or Azure.
  • Knowledge of NLP, large language models, and AI-driven applications.
  • Familiarity with containerization and deployment tools (Docker, Kubernetes).

What We Offer:

  • Opportunity to work on cutting-edge AI and data projects.
  • Collaborative and innovative work environment.
  • Professional growth and learning opportunities.

Job Type: Full-time

Pay: ₹50,000.00 per month

Work Location: Remote

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