Responsibilities

• Build machine learning models for key areas such as:
  • A/B Testing, Measurement Frameworks & Causal Modeling
  • NLP, LLMs, Embeddings, and GenAI Chatbots
  • Time-Series Forecasting & Anomaly Detection
  • Optimization and Recommendation Systems
• Research and propose innovative statistical/ML models aligned with business needs.
• Analyze data trends and interpret them with clear business objectives in mind.
• Develop and deploy ML/DL models in production or contribute to platform development.
• Collaborate with engineering teams to operationalize Data Science projects.
• Regularly communicate progress and findings to stakeholders.
• Stay updated on emerging AI/ML technologies and methodologies.

Qualifications

• Strong passion for technology, problem-solving, and analytics.
• Proficient in coding and developing ML/DL solutions.
• Ability to analyze data and present insights clearly.
• Self-motivated with excellent communication and interpersonal skills.

What You’ll Gain

• Hands-on experience in developing AI/ML solutions for real-world problems.
• Exposure to e-commerce, finance, supply chain, and logistics challenges.
• Opportunity to work in a dynamic, fast-paced environment with mentorship from experienced professionals.

Batch Eligibility: 2024, 2025(not sure)
Education Requirement: B.S. degree in Computer Science, Mathematics, Statistics
Technical Skills Required: Machine Learning, Deep Learning, A/B Testing, NLP, LLMs, Embeddings, GenAI, Time-Series Forecasting, Optimization, Recommendation Systems, Python, R, Data Analysis, Statistical Modeling, Data Visualization