Data Scientist

We’re Hiring:Data Scientist | Exciting opportunities for Data scientist to join and work on cutting-edge AI initiatives! 📍 Location: Bangalore 🏢 Work Mode: Hybrid 🔍 What We’re Looking For: ✔️ 7+ years of experience in software development / data / ML engineering ✔️ 1–3+ years of hands-on experience with LLMs, RAG, AI Agents or Agentic AI systems ✔️ Strong expertise in Python and AI/ML development ✔️ Hands-on experience with AWS (Bedrock, SageMaker, cloud-native services) ✔️ Job Description – Data Scientist (Multiple Specializations) We are hiring Data Scientists across multiple specialization tracks to build data-driven, ML-powered solutions that deliver measurable business impact. Depending on the role, you will work across modeling, deployment, visualization, AI systems, or user experience while partnering closely with engineering, product, and business teams. Core Responsibilities (Applicable to All Roles) · Work with structured, semi-structured, and unstructured data · Perform data cleaning, transformation, feature engineering, and integration · Build and validate statistical and machine learning models · Apply techniques such as: o Regression, Classification, Clustering o Time Series Forecasting · Design and analyze experiments (A/B testing, hypothesis testing) · Write clean, modular, production-quality code · Follow best practices (Git, code reviews, documentation) · Communicate insights through presentations, reports, and dashboards · Partner with business, engineering, and product stakeholders Specialization Tracks (Any One or More) 1. Data Science + MLOps · Focus on productionizing and scaling ML models · Deploy models using Docker, APIs (Flask/FastAPI), or cloud services · Build and maintain ML pipelines · Implement model monitoring, performance tracking, and retraining strategies · Work with CI/CD, Airflow, Databricks, or cloud platforms (AWS/Azure/GCP) · Ensure model reliability, scalability, and governance 2. Data Science + Agentic AI · Focus on LLM-powered and autonomous AI systems · Build Agentic AI workflows using LLMs · Develop reasoning, planning, tool-using AI agents · Integrate LLMs with enterprise data and APIs · Apply prompt engineering, RAG, and multi-agent orchestration · Evaluate and improve AI responses, safety, and efficiency 3. Data Science + Power BI / Tableau · Focus on analytics, visualization, and business intelligence · Design interactive dashboards using Power BI / Tableau · Translate analytical models into decision-ready visuals · Partner with stakeholders to define KPIs and metrics · Automate reporting and analytics workflows · Enable self-service analytics for business teams 4. Data Science + UI/UX · Focus on data-driven product and user experience design · Translate complex models into simple, intuitive user interfaces · Collaborate with UI/UX designers and front-end teams share your resume to [Upgrade to PRO to see contact]