Requirements:
- Experience in working with large datasets with statistical analysis
- Capability to identify and troubleshoot potential Business issues
- Experience in Data Science/Machine Learning
- Familiarity with a broad set of modeling techniques: aptitude in mathematics, probability, algorithms, experimentation methods, hypothesis testing
- Hands-on programming/implementation ability in R/Python/Java, NO-SQL DBs
- Knowledge of Big Data Tools: Real-Time streaming engines, Messaging Queues, Hadoop, PySpark (added advantage)
- Ability to write production-level code and experience pushing machine learning models to production
The Essentials:
- 5 years of experience building data science models (Regression, Decision Trees, K-Means, ensemble models, Neural Network, etc.)
- 2 years of hands-on experience with commercial applications of machine learning
- Hands-on experience with Text mining and Computer vision techniques
- Experience with large data sets and analytical tools
- Other desired qualifications: Strong curiosity, leadership, and business acumen
- Passionate about using data to drive strategy and product recommendations
- In-depth knowledge of statistics and machine learning algorithms
- Curious and careful about the business impact of their work
- Able to work collaboratively and proactively
