- Lead advanced data exploration and modeling to uncover patterns, trends, and hidden insights that drive business outcomes.

- Design, build, and deploy predictive and statistical models to solve complex business problems.

- Quantify the impact of products, campaigns, and operational changes using data-driven experimentation and analysis.

- Translate business questions into analytical frameworks and scalable data science solutions.

- Collaborate with cross-functional teams to integrate models and insights into real-world decision-making.

- Own the end-to-end data science lifecycle from data collection and feature engineering to model evaluation and performance tracking.

- Communicate findings, assumptions, and model results clearly to both technical and non-technical stakeholders.

Desired Skills and Experience :

- Graduates from any discipline with a strong analytical mindset and curiosity for data.

- Solid foundation in statistics, probability, and machine learning concepts.

- Hands-on experience with Python/R for data analysis and model building.

- Working knowledge of SQL and data manipulation techniques.

- Familiarity with machine learning algorithms such as regression, classification, clustering, and time-series analysis.

- Up to 3 years of experience in Data Science, Machine Learning, Analytics, Software Development, or related domains.

- Strong problem-solving skills with the ability to convert ambiguous problems into structured solutions.

- Excellent communication skills to explain complex models and insights in a simple, business-friendly manner.

Hiring Process :

- Eligible candidates will receive an evaluation link to assess their data science and analytical skills.

- Subsequent interview rounds will be customized based on performance in the evaluation.

Note :

- We will be reaching out only to candidates who meet the eligibility criteria mentioned above.