JOB DESCRIPTION

Position Title

Senior Data Scientist

Grade/Level

A3

Department

Data & Analytics

Location

Organizational Relationships

Position reporting to

Divisional Manager – Data & Analytics

No. of Direct Reports

-

Job Purpose

The purpose of this role is to bring in the culture of Data aggregation and analysis. From recognizing human patterns in the numbers, to improve the consumer experience via analytics, to find ways to bring data to achieve organizations Goals & objective

Key Responsibilities

Functional

Responsibilities

Be responsible for scaling our analytics capability across all internal disciplines and guide our strategic direction in regard to analytics

Organize and analyze large, diverse data sets across multiple platforms

Identify key insights and leverage them to inform and influence product strategy

Technical Interactions with vendor or partners in technical capacity for scope/ approach & deliverables. 

Develops proof of concept to prove or disprove validity of concept

Working with all parts of the business to identify analytical requirements and formalize an approach for reliable, relevant, accurate, efficient reporting on those requirements 

Designing and implementing advanced statistical testing for customized problem solving

Deliver concise verbal and written explanations of analyses to senior management that elevate findings into strategic recommendations

Job Requirements

Qualifications

MTech / BE / BTech / MSc in CS or Stats or Maths, Operation Research, Statistics, Econometrics or in any quantitative field

Experience

4 + Years’ experience in analytical domain

Functional Competencies

Excellent analytics, logical, problem solving and numerical skills

Experience in using Python

Experience in working with large data sets and big data systems (SQL, Hadoop, Hive, etc.)

Keen aptitude for large-scale data analysis with a passion for identifying key insights from data

Expert working knowledge in various machine learning algorithms such XGBoost, SVM Etc.,

Expertise in Data Mining, Statistical Analysis, Regression, Logistics Regression, Segmentation, Time Series Forecasting, Market Basket Analysis, Decision Tree, CHAID, Test Mining, Hypothesis Testing, A/B Testing and Modeling