Data Scientist

Key Responsibilities:

• Develop and implement data-driven models and algorithms for solving business challenges.
• Perform data extraction, cleansing, transformation, and analysis using SQL and Python.
• Design and train machine learning models for predictive and descriptive analytics.
• Conduct feature engineering, model validation, and performance tuning to ensure high accuracy and reliability.
• Collaborate with data engineers to build scalable data pipelines and ensure model deployment in production environments.
• Generate insights from structured and unstructured data using statistical analysis and visualization tools.
• Contribute to AI-driven solutions, including experimenting with LLMs, NLP, and generative models (preferred).
• Communicate findings and recommendations effectively through dashboards, reports, and visual presentations.
• Stay updated with emerging trends in AI, ML, and data science technologies.

Required Skills & Qualifications:

• Bachelor’s or Master’s degree in Computer Science, Data Science, Statistics, or a related field.
• 3–5 years of hands-on experience in data science, analytics, or ML roles.
• Strong programming skills in Python (pandas, NumPy, scikit-learn, TensorFlow/PyTorch).
• Advanced SQL expertise for data querying and optimization.
• Sound knowledge of machine learning algorithms (classification, regression, clustering, etc.).
• Experience with data visualization tools such as Power BI, Tableau, or Matplotlib/Seaborn.
• Familiarity with AI and LLM frameworks (e.g., OpenAI, Hugging Face, LangChain) is a plus.
• Understanding of cloud environments (AWS, Azure, or GCP) preferred.
• Excellent analytical, communication, and problem-solving skills.

Job Types: Full-time, Permanent

Pay: ₹880,628.61 - ₹1,529,750.51 per year

Benefits:

• Provident Fund

Work Location: In person