SplashLearn - Senior Data Scientist
2 weeks ago
Roles and Responsibilities
- Build, test and deploy prediction and recommendation models to solve business and product needs, e.g. pricing optimisation, games/content recommendation, churn prediction, customer segmentation, building adaptive engines
- Work with large data sets and apply advanced analytical methods as needed, deriving valuable insights from data to drive business and product outcomes
- Develop deep understanding of the products and collected data points, enhance data collection procedures to include information that is relevant for building prediction and recommender systems
- Process, cleanse, and verify the integrity of data used for analysis, build ML pipelines to provide insights at scale.
- Present analysis and insights to stakeholders and advocate for positive change
Requirements
- Professional degree in a quantitative discipline (e.g., Statistics, Computer Science, Mathematics, Data Science) or equivalent practical experience.
- At least 3 years of work experience in machine learning/deep learning related field and in-depth knowledge of advanced analytical methods
- Should be able to work independently, select the right tools, algorithm and technology for the problem at hand
- Excellent verbal and written communication skills (including presentation skills)
- Experience in Pythons, SQL and building ML pipelines
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