Posted on: 11/09/2025
Requirements :
- Bachelor's/Master's degree in computer science (or similar degrees)
- 4-7 years of experience as a Data Scientist in a fast-paced organization, preferably B2C.
- Familiarity with Neural Networks, Machine Learning, etc.
- Familiarity with tools like SQL, R, Python, etc.
- Strong understanding of Statistics and Linear Algebra.
- Strong understanding of hypothesis/model testing and ability to identify common model testing errors.
- Experience designing and running A/B tests and drawing insights from them.
- Proficiency in machine learning algorithms.
- Excellent analytical skills to fetch data from reliable sources to generate accurate insights.
- Experience in tech and product teams is a plus.
Key Responsibilities :
- Analyze large volumes of structured and unstructured data to derive actionable insights.
- Design and implement advanced machine learning models and neural networks to solve real-world business problems.
- Conduct statistical analysis, hypothesis testing, and model validation to ensure the accuracy and reliability of results.
- Design, execute, and analyze A/B and multivariate experiments to improve products and user experience.
- Collaborate with engineering and product teams to deploy models and monitor their performance in production environments.
- Translate complex data into clear, actionable recommendations for business and product stakeholders.
- Proactively identify data-driven opportunities for optimization and innovation across various teams.
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