Advanced Machine Learning Expert

1 day ago


Kannur, Kerala, India beBeeDataScientist Full time ₹ 1,00,00,000 - ₹ 1,55,00,000
Senior Data Scientist

We are seeking a highly skilled professional to join our data science team.

  • Main Responsibilities:
  • Design, build, and deploy machine learning models for segmentation, predictive analytics, prospect identification, targeting, personalization, Churn prediction & retention, campaign performance and other business use cases.
  • Contribute to building models for various use cases such as Revenue Management System, Customer 360, etc.
  • Apply statistical analysis and data visualization techniques to generate insights and communicate effectively to stakeholders.
  • Translate model insights into actionable strategies that enhance ROI and customer experience.
  • Collaborate with cross-functional teams including Martech, digital, and commercial teams to operationalize models into platforms and workflows.
  • Establish monitoring, retraining, and governance processes to ensure sustained model accuracy and business value.

About This Role:

  • This is an excellent opportunity to work on cutting-edge projects and contribute to the growth of our organization.
  • You will have the chance to collaborate with experienced professionals and develop your skills in machine learning and data science.
  • Our team is dedicated to innovation and excellence, and we are looking for someone who shares our values.

Requirements:

  • Bachelor's degree in Computer Science, Mathematics, Statistics, or related field.
  • Proven experience in machine learning and data science.
  • Strong programming skills in Python, R, or SQL.
  • Experience with popular machine learning libraries and tools.
  • Excellent communication and problem-solving skills.
  • Ability to work in a fast-paced environment and prioritize tasks effectively.

What We Offer:

  • A competitive salary and benefits package.
  • The opportunity to work on exciting projects and contribute to the growth of our organization.
  • A collaborative and dynamic work environment.
  • Ongoing training and development opportunities.


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