Data Scientist
redBus · Bengaluru
- Experience1–4 yrs
- SalaryNot disclosed
- Work modeonsite
- Leveljunior
- Posted16 Sept 2026
About redBus
redBus is hiring in Bengaluru in hospitality travel. This role looks for around 1+ years of experience.
Skills
- statistical modelling
- Machine Learning
- predictive modelling
- Python
- R
- cluster analysis
- data analysis
- statistical analysis
The role
A data scientist at a travel marketplace applies statistical modelling, predictive analysis, and cluster analysis to transactional data, producing business insights for planning and marketing strategy while guiding a small team.
Full job description
The ideal candidate's favorite words are learning, data, scale, and agility. You will use your collaboration skills and ability to extract insights from complex data to ask the right questions and find the right answers.
Responsibilities:Work on advanced data science to provide insights to different types of usersIdentify behavioral and attribute-based clusters using clustering techniquesConduct predictive analysis to create various “what-if” scenarios to drive organizational planning and marketing strategyDevelop & apply algorithms operating on data to solve real-life business problems.Be the “go-to” person for all statistical modelling/analysis in the organizationCompetent to manage a small team
Educational Qualification:Postgraduate degree in Statistics from Premier Institute
Experience:1-4 years of experience
Key Skills:Strong statistical / Machine Learning knowledge and hands-on experience with statistical tools and techniquesDemonstrated capability to provide meaningful and actionable insights based on data analysis Strong communication skillsSignificant experience in predictive modelling (e.g., Logistic Regression, Random Forest, Ada-Boost).Strong capability of running multivariate regression models using Python/RAbility to conduct cluster analysis on large datasetsGood understanding and working experience with multiple data sourcesHigh level of comfort with receiving, loading, cleansing, enriching & enhancing transactional data sourcesAbility to proactively come up with solutions requiring minimal guidanceShould be a strong team player & able to work in an ambiguous environment with minimal guidance.
Specialised knowledge required – Good to have
1-4 years of experience in statistical modelling/customer segmentation/predictive analysis in a quant-heavy organizationCandidates with strong business sense and problem-solving capabilities preferred