Key Responsibilities

- Analyze large datasets to identify trends, patterns, and actionable business insights.

- Build, test, and evaluate machine learning and statistical models for classification, regression, forecasting, segmentation, and predictive analytics.

- Perform data cleaning, feature engineering, exploratory data analysis (EDA), and model validation.

- Develop solutions using Python, Pandas, NumPy, Scikit-learn, and related ML libraries.

- Write efficient SQL queries for data extraction, transformation, and analysis.

- Evaluate models using appropriate metrics such as precision, recall, F1-score, ROC-AUC, RMSE, and MAE.

- Create dashboards, reports, or visualizations using tools such as Power BI, Tableau, Matplotlib, or Seaborn.

- Work closely with data engineers, senior data scientists, and business stakeholders to take analytical solutions from experimentation to implementation.

- Document methodologies, experiments, model results, and key findings.





- Assist with GenAI/LLM use cases, including prompt engineering, embeddings, and RAG-based solutions, where applicable.

Required Skills

- 2-7 years of experience in Data Science, Machine Learning, or Advanced Analytics.

- Strong programming skills in Python.

- Good knowledge of SQL and relational databases.

- Understanding of supervised and unsupervised machine learning techniques.

- Solid foundation in statistics, probability, hypothesis testing, and data analysis.

- Hands-on experience with Pandas, NumPy, Scikit-learn and data visualization libraries.

- Understanding of model evaluation, feature selection, cross-validation, and overfitting.

- Good analytical and problem-solving skills.

- Strong communication skills with the ability to explain analytical findings clearly.

📌 Data Scientist (Delhi)
🏢 CustomerInsights.AI
📍 Delhi