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Senior Data Scientist

Senior Data Scientist

Licious

6 years

0 Lacs

Bengaluru Karnataka India

Posted:19 hours ago| Platform:

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Skills Required

data cutting technology personalization drive ml forecasting marketing learning ai support automation content collaborative filtering reinforcement engagement inference inventory analyze reports tableau power engineering design optimization model statistics tuning arima lstm python sql pyspark tensorflow pytorch aws gcp mlflow

Work Mode

On-site

Job Type

Full Time

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:

Senior

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).

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