Data Scientist

Job Description:

Responsibilities

• 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.

Qualification & Experience

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