Job Title:

Data Scientist

Function

New Analytics Team

  New / Replacement role

  New

  Department

  New Analytics Team

  Reports to position:

  Associate Director

  Location:

  Hyderabad

  Reportees to Position:

  None

  Band:

  A3

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 Interface/Relationships:

  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.

  Job Interface/Relationships:

  Internal

  External

·       Work with different Business Teams to build Predictive Models for them

None

    #

Key Responsibilities

% Time Spent

  1

 Data Preparation for Modelling - Data Extraction, Cleaning, Joining & Transformation

  35%

  2

 Build ML/AI Models for various Business Requirements

  35%

  3

 Perform Custom Analytics for providing actionable insights to the Business

  20%

  4

 Assist the Function Head in Data Preparation & Modelling Tasks as required

  10%