Lead Data Scientist

7 days ago


Chennai, Tamil Nadu, India Cynosure Corporate Solutions Full time ₹ 15,00,000 - ₹ 20,00,000 per year

Responsibilities

  • Ability to build and lead a team of data scientists.
  • You would be required to identify, develop, and implement the appropriate statistical modeling and ML/Deep learning models to create new, scalable solutions that address business challenges across industry domains.
  • Create business stories and presentations through Data Inferential Analysis
  • Define, develop, maintain, and evolve data models, tools, and capabilities.
  • Communicate your findings to the appropriate teams through visualizations
  • Collaborate and communicate findings to diverse stakeholders
  • Required Implementation Experience (any 3 or above): Clustering, Customer Segmentation & Targeting, Propensity Modeling, Churn Modeling, Lifetime Value Estimation, Forecasting, Modeling Response to Incentives, Marketing Mix Optimization, Price Optimization.
  • Good to have exposure in Object detection/Image recognition, natural language processing, Sentiment Analysis, Topic Modeling, Concept Extraction, Recommender Systems, and text classification.
  • Experienced in agile methodology for delivering on project milestones.
  • Need to have command on verbal, presentation, and written communication skills.

Preferred Qualifications:

  • Bachelors/Masters/PhD degree in Math, Computer Science, Information Systems, Machine Learning, Statistics, Applied Mathematics, or related technical degree.
  • 8+ years total experience with a minimum of 3 years of experience in a related position as a data scientist or ML engineer building predictive analytics and machine learning solutions for various types of business problems.
  • Advanced knowledge of Statistical Modeling, Machine Learning Algorithms, and Python Programming
  • Strong individual planning and project management skills, able to work on more than one responsibilities through right prioritization
  • Self-motivated and driven to deliver agreed results on-time
  • Ability to convert analytical output into clear, concise, and persuasive insights & recommendations for technical & non-technical audience

Key traits:

  • Be a problem solver and be proactive to solve the challenges that come his way.
  • Should have excellent communication skills.
  • Should be self-motivated and willing to work as part of a team.
  • Should be able to collaborate and coordinate in a remote environment.

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