On-site
Full Time
Data Scientist
Licious is a fast-paced, innovative D2C brand revolutionizing the meat and seafood
industry in India. We leverage cutting-edge technology, data science, and customer
insights to deliver unmatched quality, convenience, and personalization. Join us to
solve complex problems at scale and drive data-driven decision-making!
Role Overview:
We are seeking a Data Scientist with 5+ years of experience to build and deploy
advanced ML models (LLMs, Recommendation Systems, Demand Forecasting) and
generate actionable insights. You will collaborate with cross-functional teams (Product,
Supply Chain, Marketing) to optimize customer experience, demand prediction, and
business growth.
Key Responsibilities:
1. Machine Learning & AI Solutions:
● Develop and deploy Large Language Models (LLMs) for customer support
automation, personalized content generation, and sentiment analysis.
● Enhance Recommendation Systems (collaborative filtering, NLP-based,
reinforcement learning) to drive engagement and conversions.
● Build scalable Demand Forecasting models (time series, causal inference) to
optimize inventory and supply chain.
2. Data-Driven Insights:
● Analyze customer behavior, transactional data, and market trends to uncover
growth opportunities.
● Create dashboards and reports (using Tableau/Power BI) to communicate
insights to stakeholders.
3. Cross-Functional Collaboration:
● Partner with Engineering to productionize models (MLOps, APIs, A/B testing).
● Work with Marketing to design hyper-personalized campaigns using CLV, churn
prediction, and segmentation.
4. Innovation & Scalability:
● Stay updated with advancements in GenAI, causal ML, and optimization
techniques.
● Improve model performance through feature engineering, ensemble methods,
and experimentation.
Qualifications:
● Education: BTech/MTech/MS in Computer Science, Statistics, or related fields.
● Experience: 4+ years in Data Science, with hands-on expertise in:
○ LLMs (GPT, BERT, fine-tuning, prompt engineering).
○ Recommendation Systems (matrix factorization, neural CF, graph-based).
○ Demand Forecasting (ARIMA, Prophet, LSTM, Bayesian methods).
○ Python/R, SQL, PySpark, and ML frameworks (TensorFlow, PyTorch, scikit-
learn).
○ Cloud platforms (AWS/GCP) and MLOps tools (MLflow, Kubeflow).
Licious
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