Lead Data Scientist

Job Opening: Data Scientist Generative AI & Machine Learning

Location:

About the Role

Data Scientist

Key Responsibilities

• Perform

  EDA

  and generate actionable insights from structured & unstructured data.
• Build, train, and deploy

  ML/AI models

  ; apply feature engineering and hyperparameter tuning.
• Design & implement

  Generative AI solutions

  (document intelligence, conversational AI, intelligent agents).
• Work with

  LangChain, HuggingFace, OpenAI APIs, LlamaIndex, RAG

  pipelines.
• Partner with data engineers to build & optimize

  data pipelines

  (Snowflake, Databricks, SAP).
• Create dashboards & reports using

  Power BI, Streamlit, Matplotlib, Seaborn

  .
• Deploy models with

  MLOps (MLflow, Git, Docker, Kubernetes, Jenkins, CI/CD pipelines)

  .
• Ensure

  AI governance, data privacy compliance, and ethical AI practices

  .
• Collaborate with cross-functional teams to align data science solutions with business needs.
  

Required Skills & Qualifications

• 510 years of

  enterprise Data Science

  experience.
• Proficiency in

  Python, SQL, PySpark, Pandas, Scikit-learn, TensorFlow, PyTorch

  .
• Hands-on with

  Generative AI frameworks

  (LangChain, HuggingFace, OpenAI APIs, LlamaIndex, RAG).
• Expertise in

  Snowflake, Databricks, SAP data integrations

  .
• Familiarity with

  Salesforce AgentForce, Google AgentSpace, Snowflake Cortex AI, Document AI

  .
• Strong foundation in

  statistics, data modeling, ML algorithms

  .
• Excellent

  problem-solving, communication, and stakeholder management

  skills.

Education

• Bachelors degree

  in Computer Science, Data Science, Statistics, or Engineering.

• Masters/PhD

  in Machine Learning, AI, or Applied Mathematics preferred.

Important Note to Applicants

Generative AI, Machine Learning, and required tools expertise