Lead Data Scientist

Designation:

Experience

Location:

Role:

Key Responsibilities:

• This role will involve developing, implementing, and managing advanced analytics and machine learning models to extract insights and create predictive solutions.
• Build solutions using Statistics, Machine Learning, Deep Learning or Generative AI
• Interact with client for understanding requirements and discussing solutions
• Set clear goals, assign tasks, and ensure the team's performance meets or exceeds expectations.
• Identify new data sources and technologies that can improve data analysis and modeling capabilities.
• Ensure data privacy and compliance with relevant regulations

Job Requirement:

• Bachelor’s or higher degree in a relevant field like Computer Science, Statistics, Mathematics, Engineering

• 12+ years

   industry experience in a data science or Machine Learning projects & at least 3 years of most recent experience in designing ML based solutions for business requirements
• Strong experience in 

  Machine Learning

  is a must with an acumen for statistical analysis of structured data
• Experience in
  Deep Learning, Computer Vision
  is not critical and is optional
• Generative AI is not critical but good to have skill
• Should have implemented solutions using various ML models such as 

  SVM, Random Forest, XG Boost, prediction modelling, forecasting modelling, anomaly detection

• Strong programming skills in languages such as 

  Python, PySpark

   and 

  SQL

• Experience in developing Machine Learning solutions on 

  Azure Fabric

   platform will be considered as a strong positive
• Expertise and fluency in ML technologies & frameworks such as 

  Scikit Learn, PANDAS, Numpy,

  Spark, etc
• Exposure to 

  MLOps and Model Training Pipeline development

   

  on cloud

  will be an advantage
• Experience in frameworks such as TensorFlow, Keras, PyTorch
  is not critical and is optional
• Experience of requirement understanding & solution designing