Data Scientist

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

• 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.

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.