Data Scientist - Python/ SQL- Fully Remote in Bengaluru, India
apparel group india pvt. ltd.
RemoteWork from anywhere
India, Bengaluru
Data Scientist - Python/ SQL- Fully Remote in Bengaluru, India is listed on Jobeax. Browse 30,000+ vacancies available.
Job Title: Data Scientist Location: India (remote)
Department: Apparel Group – Innovation and transformation
We are seeking a Data Scientist to lead AI/ML initiatives within Apparel Group's growing AI team. In this role, you will design and deliver advanced machine learning models and AI-driven solutions that directly impact business outcomes across retail operations — from forecasting and workforce optimization to cutting-edge applications of LLMs (Large Language Models) and agentic AI .
In this role where you'll not only work hands-on with data but also guide junior team members, shape AI strategy, and collaborate with product managers, engineers, and business stakeholders.
Design, develop, and deploy scalable ML models for forecasting, optimization and NLP use cases. Lead the end-to-end lifecycle of data science projects: problem framing, data exploration, model building, evaluation, and deployment. Explore and implement LLM and agentic AI applications to drive innovation in customer experience and workforce productivity. Partner with data engineering teams to build robust data pipelines and ensure model reliability in production. Mentor and guide junior data scientists/analysts, providing code reviews, best practices, and technical direction. Work closely with product managers and business teams to translate business needs into data science solutions . Communicate complex findings to non-technical stakeholders through visualizations, dashboards, and storytelling. Stay ahead of the curve with latest research and tools in ML/AI and recommend adoption where relevant. 5+ years of experience in data science or applied machine learning (retail/e-commerce experience preferred).
Advanced proficiency in Python (Pandas, NumPy, Scikit-learn, PyTorch/TensorFlow).
Strong background in ML algorithms, time series forecasting, optimization, and statistics .
Expertise in SQL and experience with large-scale data processing frameworks (Spark, PySpark, or similar).
Proven experience in taking ML models from concept to production deployment .
Strong problem-solving skills, ability to work with ambiguity, and experience in cross-functional collaboration .
Hands-on experience with LLMs (OpenAI, HuggingFace, LangChain, RAG pipelines) .
Experience with agentic AI frameworks and multi-agent systems. Familiarity with cloud platforms (Azure, AWS, or GCP) and MLOps practices. Python,ML,SQL
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