Job Description

Summary of Job Purpose:

We are looking for Data Scientist/Sr Data Scientist for the Analytics team with experience of analytics/data science projects making significant contribution to design of analytical approach, Machine Learning/Deep Learning application skills, Statistical/ML modeling skills etc. The candidate is expected to possess good analytical, decision making and problem-solving skills.

Job Location:

Delhi/ Gurgaon/ Bhubaneswar

Duties and Responsibilities:

•

Ability to work with large data sets and present conclusions to key stakeholders; Data management using R/Python/Spark

•

Working through the phases of project

o

Define data requirements for creating a model and understand the business problem

o

Optimize processing speed, automate iterative tasks as much possible, write codes in modular form with high reusability

o

Clean, aggregate, analyze, interpret data, and carry out quality analysis of it

o

Set up data warehouse for predictive/prescriptive analysis

o

Development of AI/ML models or statistical/econometric models.

o

Hands on experience in Market Mix Optimization, Pricing and Promotion optimization, Assortment optimization etc.

•

Working along with the team members

•

Looking for insight and creating a presentation to demonstrate these insights

•

Supporting development and maintenance of proprietary marketing techniques and other knowledge development projects

Educational Background/Qualifications:

•

BTech in Computer Science, MCA or Master degree in Statistics/Econometrics/Mathematics or related subjects

•

MPhil/PhD in Statistics/Econometrics or related fields

Requirements:

•

2+ years of work experience in consulting/analytics with reputed organization is desirable.

•

Have an understanding of econometric/statistical modeling and analysis techniques such as regression analysis, hypothesis testing, multivariate statistical analysis, time series techniques, optimization techniques, and programming languages like R/ Python/ Spark is a mandate

•

Working knowledge in Machine Learning algorithms like Random Forest, Gradient Boosting, XGBoost, Neural Network etc.

Soft Skills:

•

Strong problem-solving skills

•

Good team player

•

Attention to details

•

Good communication skills

Technical Skills:

•

Statistical Analysis

•

Machine Learning/Deep Learning

•

Predictive Modeling

•

Prescriptive Modeling

•

Natural Language Processing

•

Computer Vision

Job Overview

2+ years of work experience in consulting/analytics with reputed organization is desirable.

•

Have an understanding of econometric/statistical modeling and analysis techniques such as regression analysis, hypothesis testing, multivariate statistical analysis, time series techniques, optimization techniques, and programming languages like R/ Python/ Spark is a mandate

•

Working knowledge in Machine Learning algorithms like Random Forest, Gradient Boosting, XGBoost, Neural Network etc.

Soft Skills:

•

Strong problem-solving skills

•

Good team player

•

Attention to details

•

Good communication skills

Technical Skills:

•

Statistical Analysis

•

Machine Learning/Deep Learning

•

Predictive Modeling

•

Prescriptive Modeling

•

Natural Language Processing

•

Computer Vision

Roles & Responsibilities

Duties and Responsibilities:

•

Ability to work with large data sets and present conclusions to key stakeholders; Data management using R/Python/Spark

•

Working through the phases of project

o

Define data requirements for creating a model and understand the business problem

o

Optimize processing speed, automate iterative tasks as much possible, write codes in modular form with high reusability

o

Clean, aggregate, analyze, interpret data, and carry out quality analysis of it

o

Set up data warehouse for predictive/prescriptive analysis

o

Development of AI/ML models or statistical/econometric models.

o

Hands on experience in Market Mix Optimization, Pricing and Promotion optimization, Assortment optimization etc.

•

Working along with the team members

•

Looking for insight and creating a presentation to demonstrate these insights

•

Supporting development and maintenance of proprietary marketing techniques and other knowledge development projects