Data Scientist

**Hiring: Data Scientist (GenAI \& Agentic AI)** We are looking for experienced **Data Scientists** to build **AI\-powered, data\-driven solutions** with a focus on **Generative AI and Agentic AI systems** . ⚠️ **Key Requirement:** Strong **Data Science and traditional Machine Learning foundations are essential and equally important as GenAI \& Agentic expertise.** We value professionals who can combine **statistical rigor with modern AI techniques** to deliver real business impact. **🔑 Mandatory Skills** * **Strong Data Science \& Traditional ML expertise** * **Generative AI \& Agentic AI experience** * Strong **SQL and Time Series Forecasting experience** **📊 Key Responsibilities** * Work with structured, semi\-structured, and unstructured data * Perform data cleaning, transformation, and feature engineering * Build and validate **statistical and ML models** * Apply techniques such as: * Regression, classification, clustering * **Time series forecasting** * Design and analyze experiments (A/B testing, hypothesis testing) * Develop **LLM\-powered and agentic AI solutions** * Implement **RAG, prompt engineering, and multi\-agent workflows** * Integrate AI systems with enterprise data and APIs * Write clean, production\-quality code ( **Python, SQL** ) * Communicate insights to business stakeholders * Collaborating with cross\-functional teams **🚀 Core Focus: Data Science \+ GenAI \+ Agentic AI** * Build **LLM\-powered applications and agentic workflows** * Develop reasoning, planning, and tool\-using AI agents * Integrate LLMs with enterprise data (structured \+ unstructured) * Evaluate and improve AI outputs for **accuracy, reliability, and safety** ✅ **Equally Critical:** * Strong grounding in **statistics, ML algorithms, and forecasting** * Ability to apply **traditional ML approaches alongside GenAI** * Ensuring **model robustness and business relevance** through DS fundamentals * Hands on experience in **SQL including CTE** . * Strong experience in **SQL, forecasting, and large\-scale datasets** * Proven ability to deliver **business impact** **✅ Required Qualifications** **Education** * Bachelor’s/Master’s in Data Science, Statistics, Computer Science, Engineering, or related field **Experience** * **3–7\+ years** in Data Science / Machine Learning / Analytics **🛠️ Technical Skills** * **Core DS \& ML:** Regression, Trees, Clustering, Forecasting \& other ML \& DL models * **Statistics:** Hypothesis Testing, Experimentation (DOE) * **GenAI \& Agentic AI:** LLMs, RAG, Prompt Engineering * Programming: **Python, SQL** * Big Data: Spark/Hadoop (preferred) * Tools: GitHub, PowerPoint **📈 Role Levels** * **Decision Scientist (2–3 yrs):** Supports modeling, analysis, and AI workflows * **Senior Decision Scientist (4–6 yrs):** Owns end\-to\-end ML/AI solutions * **Lead Decision Scientist (7\+ yrs):** Drives strategy and high\-impact initiatives Note: This is a third party job (Aggregated by careeruplift.ai). Shortlisting and Final hiring decision & process is handled by the company.