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Lead Data Scientist Job Opening In New Delhi – Now Hiring Licious


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


  • Job Details

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Unlock Your Lead Data Potential: Insight & Career Growth Guide


Real-time Lead Data Jobs Trends (Graphical Representation)

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Are You Looking for Lead Data Scientist Job?

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The Work Culture

An organization's rules and standards set how people should be treated in the office and how different situations should be handled. The work culture at Licious adheres to the cultural norms as outlined by Expertini.

The fundamental ethical values are:

1. Independence

2. Loyalty

3. Impartiapty

4. Integrity

5. Accountabipty

6. Respect for human rights

7. Obeying India laws and regulations

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The average salary range for a varies, but the pay scale is rated "Standard" in New Delhi. Salary levels may vary depending on your industry, experience, and skills. It's essential to research and negotiate effectively. We advise reading the full job specification before proceeding with the application to understand the salary package.

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Key qualifications for Lead Data Scientist typically include Mathematical Science Occupations and a list of qualifications and expertise as mentioned in the job specification. The generic skills are mostly outlined by the . Be sure to check the specific job listing for detailed requirements and qualifications.

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Interview Tips for Lead Data Scientist Job Success

Licious interview tips for Lead Data Scientist

Here are some tips to help you prepare for and ace your Lead Data Scientist job interview:

Before the Interview:

Research: Learn about the Licious's mission, values, products, and the specific job requirements and get further information about

Other Openings

Practice: Prepare answers to common interview questions and rehearse using the STAR method (Situation, Task, Action, Result) to showcase your skills and experiences.

Dress Professionally: Choose attire appropriate for the company culture.

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Plan Your Commute: Allow ample time to arrive on time and avoid feeling rushed.

During the Interview:

Be Punctual: Arrive on time to demonstrate professionalism and respect.

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Answer Thoughtfully: Listen carefully, take a moment to formulate clear and concise responses. Highlight relevant skills and experiences using the STAR method.

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Follow Up: Send a thank-you email to the interviewer within 24 hours.

Additional Tips:

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Final Thought:

To prepare for your Lead Data Scientist interview at Licious, research the company, understand the job requirements, and practice common interview questions.

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By following these tips, you can increase your chances of making a positive impression and landing the job!

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