Job description
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
Lead
Data Scientist
with
6+ 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/Ph.D. in Computer Science, Statistics, or related fields.
Experience:
6+ 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).
Required Skill Profession
Mathematical Science Occupations