Overview

Role: Data Scientist

Function: New Analytics Team

Department: New Analytics Team

Location: Hyderabad

No of Positions: 1

Reports to Position: Associate Director

Reportees to Position: None

Band: A3

Job Description

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

Job Outline

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.

Job Specifications

Knowledge / Education:

• BE /B. Tech – Any Stream

Specific 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

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

• Kaggle experience.
• Familiarity with R.

Desirable 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.

Any other additional Input-

Will not be considered for selection:

Familiarity with

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

To apply, please email to careers@isb.edu