Data Scientist

Location: Hyderabad / Delhi NCR

Experience: 3– 5

Key Responsibilities

- Analyze large, complex datasets to identify trends, patterns, and actionable business insights.
- Design, develop, and deploy machine learning models including classification, regression, clustering,

recommendation systems, and other predictive analytics solutions.
- Perform data cleaning, feature engineering, exploratory data analysis (EDA), and data preprocessing.
- Build and maintain predictive, statistical, and AI-driven models to address business challenges and improve decision-making.
- Develop and implement Retrieval-Augmented Generation (RAG) solutions leveraging enterprise knowledge bases and unstructured data sources.
- Design and develop Generative AI applications using LangChain and LangGraph for workflow orchestration,

agentic AI, and LLM-powered solutions.
- Collaborate with stakeholders to understand business requirements and translate them into scalable analytical and AI-driven solutions.
- Develop dashboards, reports, and visualizations to communicate insights effectively to technical and non-technical audiences.
- Monitor model performance, conduct model tuning, and optimize solutions for accuracy, scalability, and efficiency.

Required Skills & Qualifications

* 3–5 years of professional experience as a Data Scientist or in a similar role.
- Strong proficiency in Python and related libraries such as NumPy, Pandas, Scikit-learn, etc.
- Hands-on experience in the end-to-end Data Science model development lifecycle, including data collection,



data preprocessing, feature engineering, exploratory data analysis (EDA), model development,

validation, deployment, monitoring, and optimization.
- Strong expertise in Machine Learning, including supervised and unsupervised learning techniques.
- Practical experience and strong conceptual understanding of Deep Learning and **Natural Language

Processing (NLP)**.
- Hands-on experience with Generative AI (GenAI) technologies, specifically **Retrieval-Augmented

Generation (RAG), LangChain, and LangGraph**.
- Candidates must possess both practical implementation experience and solid conceptual knowledge of Machine Learning, Deep Learning, NLP, RAG, LangChain, and LangGraph.
- Experience with data visualization tools such as Tableau, Power BI, Matplotlib, or Seaborn.
- Strong hands-on experience with SQL and relational databases.
- Knowledge of model evaluation techniques, performance metrics, and model optimization.
- Strong analytical, problem-solving, and critical-thinking abilities.
- Excellent communication and presentation skills, with the ability to explain complex concepts to non-technical stakeholders.

Good to Have (Preferred Skills)

* Experience with deep learning frameworks such as TensorFlow, PyTorch, or Keras.
- Experience with cloud platforms including AWS, Azure, or GCP.
- Knowledge of MLOps, model deployment, CI/CD pipelines, and productionizing AI/ML solutions.
- Experience building AI agents, multi-agent systems, or workflow automation using LangGraph and related frameworks

📌 Data Scientist (Hyderabad)
🏢 GoodSpace AI
📍 Hyderabad