Data Science Innovator

16 hours ago

Bengaluru, Karnataka, India beBeeDataScientist Full time ₹ 1,79,36,000 - ₹ 2,23,21,200
About This Role

We are seeking a skilled Data Scientist to join our team. In this position, you will have the opportunity to craft predictive models and algorithms to drive business growth.

As a key member of our cross-functional team, you will work closely with stakeholders to understand business objectives and develop data-driven solutions.

This is an exciting opportunity for a talented individual who is passionate about data science and wants to make a real impact.

Main Responsibilities:

  • Model Development: Design, develop, and implement predictive models using advanced statistical techniques and machine learning frameworks.
  • Business Impact: Collaborate with stakeholders to understand business objectives and ensure model outcomes align with strategic goals.
  • Data Analysis: Conduct thorough data exploration, cleaning, and transformation to prepare datasets for modeling efforts.
  • Cross-Functional Collaboration: Work with cross-functional teams to integrate models into production systems and monitor performance.
  • Communication: Present findings to technical and non-technical audiences.
  • Innovation: Stay up to date with the latest trends and advancements in data science and machine learning.

Requirements and Qualifications

  • Bachelor's degree in data science, computer science, statistics, mathematics, or a related field.
  • 8+ years of experience in data science with a strong focus on model development and algorithm design in the retail domain.
  • Strong communication and requirement gathering skills from business and product teams.
  • Deep understanding of at least a few retail use cases such as customer segmentation, recommendations, demand forecasting, sentiment analysis, inventory optimization, promotion uplift modeling, campaign analysis, churn prediction etc.
  • Proficiency in programming languages such as Python or R, and experience with data manipulation libraries (e.g., Pandas, NumPy).
  • Expertise in machine learning frameworks (e.g., TensorFlow, PyTorch, Scikit-learn) and statistical analysis.

Nice to Have

  • Experience with time series models (Prophet, XGBoost, LSTM for Azure ML).
  • Knowledge of model performance tracking and retraining strategies using Azure ML.
  • Exposure to AI-based solutions in areas of search, product metadata generation or discovery.

Core Competencies

  • Strong problem-solving skills with a proactive approach to optimization.
  • Excellent communication skills and ability to collaborate across global teams and time zones.
  • Experience in designing and implementing data science best practices and frameworks.

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