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Data Science Lead Specialist Position

2 weeks ago

Pune, Maharashtra, India beBeeData Full time ₹ 37,50,000 - ₹ 50,00,000
Senior AI Data Scientist Role

We are seeking a highly skilled Senior AI Data Scientist to join our team. The ideal candidate combines deep expertise in statistical modeling, machine learning, and data engineering with a strong focus on Generative AI (GenAI), Large Language Models (LLMs), and Deep Learning.

This role requires both technical leadership and strategic vision—driving AI/ML innovation, mentoring junior team members, and collaborating across product, consulting, and engineering teams to bring AI-powered solutions to life.

The successful candidate will contribute to delivering targeted and impactful advertising campaigns, optimizing ad inventory, and maximizing ROI by applying their expertise in data science to the ad-server and retail media domains.

To succeed in this role, you should have:

  • A master's or doctoral degree in a relevant field such as computer science, statistics, mathematics, or data science is preferred. A strong academic background with coursework in machine learning, statistical modeling, data mining, and programming is valuable.
  • 8-12 years of practical experience in data science, generative AI, machine learning, and analytics. Experience in relevant domains, such as e-commerce, advertising, or retail, may be advantageous.
  • Minimum 3–4 years of deep, hands-on expertise in NLP, LLMs, and Generative AI.
  • 2+ years of Demonstrated experience in leading projects and teams.
  • Advanced Proficiency in Python is essential for data manipulation, statistical analysis, and machine learning model development.

Key Skills

  • Strong foundation in machine learning, deep learning, and NLP.
  • Hands-on experience with LLMs (GPT, LLaMA, Falcon, Mistral, etc.) and GenAI frameworks (LangChain, Hugging Face, RAG, fine-tuning, LoRA).
  • Proficiency in Python, PyTorch/TensorFlow, SQL, and cloud platforms (GCP/AWS/Azure).
  • Experience with MLOps frameworks (MLflow, Kubeflow, Vertex AI, SageMaker, etc.).
  • Strong data engineering skills to build ETL pipelines for large-scale datasets.
  • Statistical rigor: hypothesis testing, power analysis, confidence intervals; regression (GLM/GLMM), time-series; causal inference (propensity scores, DiD, RDD) for business impact.