Senior Data Scientist

Roles and Responsibilities

• Build a highly scalable distributed system that can process billions of metrics per second, build intelligent complex event processing and ML-based decision systems to automate security, capacity, and root cause operational issues
• Prior experience with time-series data is preferable
• Design systems that manage lifecycle and processing of large streaming data sets, evaluate and create new ML models
• Develop online algorithms that can auto-learn models best suited to the application, keeping cost and interpretability in mind
• Deploy the algorithms and models in GCP or cloud platforms
• Develop retraining and online model performance monitoring strategies

KEY REQUIREMENTS:

• Knowledge of programming languages like SQL, and Python
• Familiarity with either one of AWS, Azure and GCP platforms
• Advanced ability to perform exploratory data analysis
• Experience with common data science toolkits and ML techniques
• Working knowledge of statistics
• Exceptional technical writing skills
• Ability to communicate complex data in a simple, actionable way
• Ability to visualize data in the most effective way possible for a given project or study
• Analytical and problem-solving skills
• Familiarity with data management tools