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