Desired Skills and Experience
- 6+ years relevant work experience.
- MS or BS in Applied Mathematics, Physics, Computer Science, Statistics or related technical field
- Hands-on experience in data mining and predictive analytics with machine learning/statistical modeling techniques
- Experiance with data science packages and tools like Python
- Experience with wrangling large datasets with big data tools such as Hadoop, Hive and Spark
- Experience applying computational algorithms and statistical methods to structured and unstructured data
- Flexibility, adaptability and the ability to learn quickly in various technical and creative environments, while delivering quality work by tight deadlines
- Ability to perform thorough analysis of complex data, draw sound conclusions, and devise actionable strategies
- Neural networks experience is a plus, especially with RNNs and CNNs
- Experience with Tensorflow, Keras APIs etc. is a plus
Interacts with product and service teams to identify questions and issues for data analysis and experiments. Develops and codes software programs, algorithms and automated processes to cleanse, integrate and evaluate large datasets from multiple disparate sources. Identifies meaningful insights from large data and metadata sources; interprets and communicates insights and findings from analysis and experiments to product, service, and business managers.
