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Lead Assistant Manager-Data Science|Gurgaon|4+Years

  • HuQuo
  • India, G...
  • 4 - 10 Yrs

Job Description

  • Bachelor's/Master's degree in Economics, Mathematics, Computer Science/engineering, or related Analytics fields
  • 4+ years of experience in Advanced Analytics/Predictive Modeling
  • Direct client management experience required
  • Experience in HR Analytics is a plus
  • Strong analytical and problem-solving skills
  • Ability to work independently on problems and deliver client-ready outcomes
  • Proficient in Python and various modeling techniques
  • Experience in advanced analytics, machine learning, statistical analysis, data mining, and text mining
  • Experience developing and deploying machine learning models
  • Extensive knowledge of Python packages for data analysis
  • Proficient in building SQL queries
  • Skilled in data visualization using Python and PowerPoint/Excel
  • Experience in Time series, Network or Graph analysis, and Large Language models/Transformers/chatbots is advantageous
  • Familiarity with cloud computing and tools like Databricks is beneficial
  • Adherence to industry best practices for Python coding and model development/deployment
  • Strong ability to communicate technical findings and insights effectively
  • Excellent written and verbal communication skills
  • Adaptability to fast-paced, evolving environments and willingness to tackle challenges
  • Ability to work with clients globally and understand cross-cultural differences

Job Responsibilities

  • Work closely with Client and EXL teams to establish stakeholder relationships and identify growth opportunities
  • Develop long-lasting, trusted advisor relationships with clients
  • Analyze structured and unstructured data to solve specific questions and problems
  • Ensure industry best practices are followed and communicate with delivery team
  • Brainstorm pain areas, identify reasons for issues, and resolve process inefficiencies
  • Facilitate client sessions and lead project status meetings
  • Typical workday involves collaborating with stakeholders as an individual contributor


Gurgaon, Haryana, India