Posted:2 days ago| Platform: Linkedin logo

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Job Type

Full Time

Job Description

Key Responsibilities
  • Design, develop, and deploy scalable ML/AI models to solve complex business challenges across multiple domains.
  • Define, build, and evolve data models, analytical tools, and advanced data science capabilities.
  • Apply statistical methods and algorithms to extract insights, optimize strategies, and improve business outcomes.
  • Deliver solutions in areas such as:
  • Object Detection & Image Recognition
  • Natural Language Processing (NLP), Sentiment Analysis, Topic Modeling, Concept Extraction
  • Recommender Systems, Text Classification, Clustering
  • Customer Segmentation, Propensity & Churn Modeling, Lifetime Value Estimation
  • Forecasting, Marketing Mix & Price Optimization, Response Modeling
  • Generative AI and Large Language Models (LLMs)
  • Collaborate with stakeholders to translate complex findings into actionable business insights through clear visualizations and presentations.
  • Lead and mentor a team of data scientists; foster knowledge sharing and innovation.
  • Drive projects using agile methodologies, ensuring timely delivery of milestones.
  • Partner with cross-functional teams (onshore and offshore) to deliver impactful, production-ready solutions.
Requirements
Skills & Experience
  • 6+ years’ experience (3+ years as Data Scientist).
  • Strong Python skills (OOP, modular programming, APIs with Flask/FastAPI).
  • Expertise in ML algorithms & deep learning frameworks (TensorFlow, Keras, PyTorch).
  • Knowledge of Azure cloud, PySpark, and unit testing is a plus.
  • Strong communication, problem-solving, and project management skills.
  • Degree in Computer Science, Statistics, Math, or related field.

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Cynosure Corporate Solutions

Consulting

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