Akasa Air - Data Scientist - Revenue Planning & Analytics

Job Specification -

1. The candidate will be responsible for generating data insights, trends, forecasting and analytics basis historical and future data

2. Provide analytical consultation, statistical/mathematical modelling, and solutions to achieve business objectives

3. Research, design, develop, implement, and support decision-science models

4. Conduct research on analytical techniques and translate that research into usable and sustainable solutions for users of production systems

5. Design and develop advanced analytical data mining, forecasting, estimation, simulation, and/or optimization models

6. Perform exploratory data analysis to identify patterns and trends in customer behavior

7. Lead the analysis and validation of statistical, forecasting, and optimization models

Provide ad-hoc reporting, advanced analysis

Qualification & Experience:-

1. Expert- level fluency in applying advance multivariate statistical analysis (logistic & linear regression, decision tree, cluster analysis) to categorize, classify, and detect relationships in large datasets

2. Proficiency in extracting and cleansing large datasets from different data sources

3. Mastery of analytical tools, including spreadsheet modelling, relational databases/SQL, and statistical analysis tools

4. Proficiency in building analytics using Power BI/Tableau

5. Demonstrated proficiency in programming with knowledge of SQL, R, Python

6. Minimum 3 to 5 years of Data science experience