Data Scientist

Job Purpose - Understand Business Processes & Data, Model the requirements to create Analytics Solutions Build Predictive Models & Recommendation Engines using state-of-the-art Machine Learning Techniques to aid Business Processes increase efficiency and effectiveness in their outcomes. Churn and Analyze the data to discover actionable insights & patterns for Business use. Assist the Function Head in Data Preparation & Modelling Tasks as required JobOutline -

• Collaborate with Business and IT teams for understanding and collecting data.
• Collect, collate, clean, process and transform large volume(s) of primarily Tabular data (Blend of Numerical, Categorical & some Text).
• Apply Data Preparation Techniques like Data Filtering, Joining, Cleaning, Missing Value imputation, Feature Extraction, Feature Engineering, Feature Selection, Dimensionality Reduction, Feature Scaling, Variable Transformation etc
• Apply as required: basic Algorithms like Linear Regression, Logistic Regression, ANOVA, KNN, Clustering (K-Means, Density, Hierarchical etc), SVM, Naïve Bayes, Decision Trees, Principal Components, Association Rule Mining etc.
• Apply as required: Ensemble Modeling algorithms like Bagging (Random Forest), Boosting (GBM, LGBM, XGBoost, CatBoost), Time-Series Modelling and other state-of-the-art Algorithms.
• Apply as required: Modelling concepts like Hyperparameter Optimization, Feature Selection, Stacking, Blending, K-Fold Cross-Validation, Bias & Variance, Overfitting etc
• Build Predictive Models using state-of-the-art Machine Learning techniques for Regression, Classification, Clustering, Recommendation Engines etc
• Perform Advance Analytics of the Business Data to find hidden patterns & insights, explanatory causes, and make strategic business recommendations based on the same

Knowledge /Education BE /B. Tech – Any Stream Skills

• Should have strong expertise in Python libraries like Pandas & Scikit Learn along with ability to code according to requirements stated in the Job Outline above
• Experience of Python Editors like PyCharm and/or Jupyter Notebooks (or other editors) is a must.
• Ability to organize the code into Modules, Functions and/or Objects is a must
• Knowledge of using ChatGPT for ML will be preferred.
• Familiarity with basic SQL for Querying & Excel for Data Analysis is a must.
• Should understand basics of Statistics like Distributions, Hypothesis Testing, Sampling Techniques etc

Work Experience

• Have an experience of at least 4 years of solving Business Problems through Data Analytics, Data Science and Modelling. Should have experience as a full-time Data Scientist for at least 2 years.
• Experience of at least 3 Projects in ML Model building, which were used in Production by Business or other clients

Skills/Experience Preferred but not compulsory -

• Familiarity with using ChatGPT, LLMs, Out-of-the Box Models etc for Data Preparation & Model building
• Kaggle experience.
• Familiarity with R.

Job Interface/Relationships: Internal Work with different Business Teams to build Predictive Models for them External None Key Responsibilities and % Time Spent Data Preparation for Modelling - Data Extraction, Cleaning, Joining & Transformation - 35% Build ML/AI Models for various Business Requirements - 35% Perform Custom Analytics for providing actionable insights to the Business - 20% Assist the Function Head in Data Preparation & Modelling Tasks as required - 10% Any other additional Input - Will not be considered for selection: Familiarity with

• Deep Learning Algorithms Image Processing & Classification
• Text Modelling using NLP Techniques