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Urgent! Lead Data Scientist Job Opening In India, India – Now Hiring Licious

Lead Data Scientist



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



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