Lead Data Scientist

Role Description

Technical Lead – Data Science & Generative AI (Python/LLMs)

Python, TensorFlow, Scikit-learn, Pandas, and NumPy

Roles & Responsibilities

• Build, train, and deploy

  machine learning and deep learning models

  using

  TensorFlow

  (or PyTorch) and

  Scikit-learn

  .
• Develop

  GenAI/LLM applications

  including conversational agents, summarization, RAG pipelines, and document intelligence.
• Perform

  data preprocessing, wrangling, and feature engineering

  with Pandas and NumPy.
• Partner with data engineering teams to design

  scalable data and model pipelines

  for training and inference.
• Lead

  model evaluation, optimization, monitoring, and governance

  to ensure robustness, fairness, and scalability.
• Provide

  technical mentorship

  to the data science team and promote coding excellence and reproducibility.
• Present

  analytical findings and AI strategies

  to non-technical stakeholders in a clear and actionable manner.

Skills & Competencies

Must-Have Technical Skills

• Expert in

  Python programming

  (advanced OOP, data structures, API design, testing).
• Proficiency with

  TensorFlow

  and

  Scikit-learn

  for ML/DL model development.
• Strong experience in

  data manipulation and analysis

  using

  Pandas

  and

  NumPy

  .
• Practical exposure to

  LLMs and GenAI frameworks

• (Hugging Face Transformers, LangChain, LlamaIndex).
• Solid foundation in

  statistical and ML methods

  : regression, time-series, hypothesis testing, anomaly detection.

Soft Skills

• Excellent communication to

  bridge technical and business teams

  .
• Proven

  leadership and mentoring

  experience.
• Adaptive mindset with openness to

  new AI/ML advancements

  .

balance innovation with timely execution

Regards,

Manvendra Singh

manvendra.singh1@incedoinc.com