Lead Data Scientist

Licious; Bengaluru; On-site; INR 1,500,000 - 2,500,000; Full time

Job summary

An innovative D2C brand in India is seeking a Lead Data Scientist with over 6 years of experience to develop and deploy advanced ML models. The candidate will work on Large Language Models and data-driven insights, collaborating cross-functionally to enhance customer experience and drive business growth. Required expertise includes Python, SQL, cloud platforms, and ML frameworks, with a focus on data science solutions in a fast-paced environment.

Qualifications

• 6+ years in Data Science with expertise in LLMs and ML frameworks.
• Hands-on experience with Python, SQL, and cloud platforms.
• Experience in deploying models and creating data-driven insights.

Responsibilities

• Develop and deploy Large Language Models for automation and content generation.
• Analyze customer behavior and create dashboards for stakeholders.
• Collaborate with Engineering for model productionization.

Skills

Machine Learning

Data Science

Large Language Models (LLMs)

Python

SQL

Cloud platforms (AWS/GCP)

Education

BTech/MTech/MS/Ph.D. in Computer Science, Statistics, or related fields

Tools

TensorFlow

PyTorch

Tableau

Power BI

MLflow

Kubeflow

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

Lead Data Scientist with 6+ years experience to build and deploy advanced ML models (LLMs, Recommendation Systems, Demand Forecasting) and generate actionable insights. Collaborate with Product, Supply Chain, Marketing teams 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.
• 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).
• Python/R, SQL, PySpark, and ML frameworks (TensorFlow, PyTorch, scikit‑learn).
• Cloud platforms (AWS/GCP) and MLOps tools (MLflow, Kubeflow).

Seniority Level

Mid‑Senior level

Employment Type

Full-time

Job Function

Food and Beverage Services and Software Development