Data Scientist

We are a fast-growing digital commerce company, delivering innovative technology solutions to millions of users globally. Our data science team plays a key role in shaping product decisions, optimizing business operations, and delivering personalized user experiences. We are looking for an experienced Data Scientist who is equally comfortable with Predictive Modeling and Natural Language Processing (NLP) / Large Language Models (LLMs) to deliver full-stack data solutions from raw data to production-ready models.As a Data Scientist, you will work across the entire analytics lifecycle — from data exploration and feature engineering to model development, deployment, and monitoring . You will develop predictive models for recommendation systems, demand forecasting and customer behavior analysis, while also building NLP/LLM-powered applications for search, personalization, and automation.

Key Responsibilities

• Design, develop, and deploy ML models for recommendation, forecasting and optimization problems.
• Build NLP and LLM-based solutions for text classification, summarization, semantic search, and conversational AI.
• Perform end-to-end data science tasks: data collection, cleaning, feature engineering, and exploratory analysis.
• Implement full-stack machine learning pipelines from experimentation to production deployment.
• Leverage cloud-based environments (especially GCP) for scalable model training and serving.
• Collaborate with Product, Engineering, and Business teams to translate requirements into actionable data solutions.
• Continuously monitor, evaluate, refine and report model performance.

Required Qualifications

• Bachelor’s or Master’s degree in Data Science, Computer Science, Statistics, Mathematics, or related field.
• 4+ years of experience in applied data science, with expertise in both predictive analytics and NLP .
• Strong proficiency in Python (Pandas, NumPy, Scikit-learn) and experience with ML frameworks (TensorFlow, PyTorch).
• Hands-on experience with Hugging Face Transformers and LLM services.
• Strong SQL skills and experience with data warehouses (BigQuery or other DBs).
• Familiarity with MLOps practices and data orchestration tools (MLflow, Airflow).
• Excellent problem-solving and communication skills.

Preferred Qualifications

• Experience with vector databases (Pinecone, FAISS, Weaviate) for semantic search and retrieval-augmented generation (RAG).
• Domain experience in e-commerce or large-scale digital platforms.
• Understanding of microservices architecture and API-first model serving (e.g., Flask , FastAPI ).
• Exposure to real-time analytics and streaming data processing (Kafka, Flink).

Why Join Us?

• Work on end-to-end data science projects that combine predictive analytics, NLP, and LLMs.
• Opportunity to impact millions of users with data-driven innovation.
• Collaborative and agile work environment.
• Flexible working arrangements and professional development opportunities.
• Competitive compensation and benefits package.