Senior Data Scientist

Overview

• Qualification:
  • Bachelor’s or Master’s degree in Computer Science, Data Science, Statistics, Mathematics, or a related -field.
  • 8-10 years of professional experience with atleast 6 years of experience in data science, machine learning, and analytics, with a proven track recordof delivering impactful data-driven solutions.
  • Experience working in dynamic, fast-paced environments, with the ability to manage multiple projects simultaneously as well as should be able to do production or work on project personally as required.
  • Proven Experience, Strong business acumen and ability to translate technical insights into actionable business strategies & communicate to stakeholders in business language.
  • Experience working with construction-related data or similar industries (e.g., engineering, manufacturing) is a plus.
     
• Technical Skills:
  • Expertise in programming languages such as Python, R, or Scala.
  • Proficiency in machine learning, AI & Statistics frameworks and libraries (e.g., TensorFlow, PyTorch, scikit-learn).
  • Strong experience in predictive analytics, clustering, classification, regression & multi-variate techniques.
  • Hands-on experience with data visualization tools (e.g., Tableau, Power BI, Matplotlib).
  • Familiarity with cloud platforms (AWS, Azure preferably), knowledge about Azure ML Services & Snowflake would be plus one
  • Strong understanding of SQL and working with relational databases.
  • Good to have knowledge of NLP(Natural Language Processing) and Computer Vision.