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Job Description
**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