Tide is seeking a Senior Data Scientist to join their Risk & Fraud Team. The successful candidate will leverage advanced statistical modeling and machine learning to detect, prevent, and adapt to evolving fraud threats.
Requirements
- 4+ years of experience in Software Development or Machine Learning
- Strong in Python and expert knowledge with Machine Learning tools/libraries
- Experience with big-data technologies such as Spark, SparkML, Hadoop etc.
- Proficient in ML training, optimising, feature selection and engineering, hyperparameter tuning
- Demonstrated experience in developing and deploying a variety of ML-algorithms
- Good working knowledge with basic data table operations (SQL etc.), and data transform in the warehouse (dbt etc.)
Benefits
- Competitive salary
- Self & Family Health Insurance
- Term & Life Insurance
- OPD Benefits
- Mental wellbeing through Plumm
- Learning & Development Budget
- WFH Setup allowance
- 15 days of Privilege leaves
- 12 days of Casual leaves
- 12 days of Sick leaves
- 3 paid days off for volunteering or L&D activities
- Stock Options