Data Scientist applies strong expertise in machine learning, data mining, and information retrieval to design, prototype, and build AI engines and services. The data scientist collaborates with business partners to define the technical problem statement and hypothesis to test; develops efficient and accurate analytical models that mimic business decisions and incorporates them into analytical data products or tools with the support of a cross‑functional team.
Key Responsibilities
- Identify opportunities for leveraging data to drive business solutions in Digital marketing and Product management
- Mine, transform and analyze data from different sources (CRM, Digital analytics UI, external source data)
- Conduct advanced statistical analysis to provide actionable insights, identify trends, and measure performance
- Design, create, test and implement data models that drive analytical solutions throughout the organization
- Apply A/B testing framework to test models' quality and integrate data insights into the business processes
- Coordinate with different functional teams to implement models, design processes and tools to monitor and analyze model performance and data accuracy
Education
- MS/PhD (Computer Science or Electronics), or MS in Computer Applications, Economics, Statistics or Mathematics or related technical discipline.
Skills
- Experience merging and transforming disparate internal & external data sets to create new features
- Experience with R/Python is required; experience with BI tools (Tableau, Power BI) is a plus
- Experience in a statistical and/or data science / data analyst role
- Experience in machine learning, statistics and data mining to solve clustering, classification, regression problems
Work Experience
6–8 years
Benefits
- Paid parental leave (6 months for primary caregivers, 2 months for secondary caregivers) and flexible work options
- Health insurance coverage for employee and family with additional top‑up options
- Uncapped sick leave and flexible work arrangements (remote and part‑time)
- Mental wellness and self‑care programmes, resources and counselling
- Digital and offline instant recognition platforms for individual, team, and business achievements
EEO Statement
We are an equal‑opportunity employer. Discrimination on the basis of nationality, race, color, religion, caste, gender identity or expression, sexual orientation, disability, age, or marital status is not tolerated. All opportunities are provided based on merit.