Job Title: Data Scientist

As a Data Scientist, you will work closely with business and product teams to develop predictive models and AI-driven solutions that support decision-making and drive business growth. You will be responsible for analyzing complex datasets, building machine learning models, leveraging AI technologies, and translating data into actionable insights.

Roles & Responsibility

- Build and implement AI/ML solutions to automate processes and generate business insights.
- Perform data collection, cleaning, preprocessing, and feature engineering on large datasets.
- Build, train, evaluate, and optimize machine learning and AI models to improve accuracy and performance.
- Conduct exploratory data analysis (EDA) to identify trends, patterns, and business opportunities.
- Work with Generative AI, LLMs, and NLP models where applicable to solve business problems.
- Collaborate with Product, Engineering, and Business teams to deliver data-driven and AI-powered solutions.
- Develop data pipelines and workflows for model training, validation, deployment, and monitoring.
- Create dashboards, reports, and visualizations to communicate insights to stakeholders.
- Stay updated on the latest advancements in Data Science, Artificial Intelligence, and Machine Learning.
Design, develop, and deploy predictive models for forecasting, classification, regression,



and business optimization use cases.

Core Skills

- Robust expertise in Python and SQL.
- Hands-on experience with machine learning libraries such as Scikit-learn, Pandas, NumPy, XGBoost, TensorFlow, or PyTorch.
- Strong understanding of statistics, probability, predictive modeling, and AI concepts.
- Experience with regression, classification, clustering, forecasting, and model evaluation methodologies.
- Experience working with NLP, LLMs, Generative AI, or AI-powered applications.
- Proficiency in feature engineering, model tuning, and performance optimization.
- Experience deploying and monitoring ML/AI models in production environments.
Strong analytical thinking, problem-solving, and communication skills.

Preferred Skills

- Experience with time-series forecasting, recommendation systems, anomaly detection, or financial modeling.
- Familiarity with LLM frameworks and tools such as LangChain, LangGraph, OpenAI APIs, or similar AI ecosystems.
- Experience with MLOps tools and model deployment frameworks.
- Familiarity with data visualization tools such as Power BI, Tableau, or Looker.
Experience working in fast-paced startup environments.

Education
Bachelor’s or Master’s degree in Computer Science, Data Science, Statistics, Mathematics, AI/ML, or a related field.

📌 Data Scientist (India)
🏢 Kodo Technologies
📍 India