- Provide technical expertise in Advanced Analytics
- Discover information hidden in vast amounts of data, and help make smarter decisions to deliver a better product and service
- Process, cleanse, and verify the integrity of data used for analysis
- Work with various business units to develop automated data science solutions that add business and customer value
- Translate complex data science concepts to business understandable insights
- Build prototypes to test proof-of-concepts
- Address technical concerns, ideas and suggestions
- Monitor systems to ensure they meet the partner, user and business goals
- Deliver solutions, features using agile delivery methodologies
Skills, Experience and Requirements
- 3+ years of hands-on Data Science development experience
- Strong coding experience in Python, Scala, and SQL
- Experience using popular data science libraries (i.e. scikit-learn, Spark ML, TensorFlow, etc.)
- Ability to explain machine learning techniques, find right data and solve problems
- Proficient with creating data visualization (i.e. Matplotlib, Seaborn, etc.)
- Experience working with project management and Agile mentality
- Knowledge and experience with TDD, CI/CD, cloud native and 12 Factor Apps
- Experience working with containerization platforms (Docker, Kubernetes)
- Strong understanding of data science algorithms including classification, forecasting and deep neural networks
- Experience in cloud technologies (like AWS) and data analytics platforms
- Experience in working with Big Data structured and unstructured
- Degree in Statistics, Mathematics, Computer Science, or Information Technology or equivalent professional experience (Master’s degree is preferred)
- Experience building fully automated, configuration driven, extensible solutions
- Excellent written/verbal communication skills
- Strong analytical, problem-solving and conflict resolution skills
- Ability to adapt and deep dive into new technologies
- Strong desire to learn new things and continually improve