Support and understanding of Data Science design and methodology.
Understand business needs and help offer innovative solutions.
Work on creating new solutions use cases, proof of concept and prototypes by exploring diverse data sets using tools such as python/r.
Understand product and services to suggest new solutions for client challenges.
Collaborate with other Data team units.
Automate and develop solutions for existing processes.
Requirements
Master's or PhD Degree in Information Technology, Computer Science, or a related discipline strongly preferred.
At least 2 years relevant work experience.
Experience using big data batch and Streaming tools (Spark, AWS tools, Hadoop)
Experience in building models that have been deployed to production (e.g. marketing, demand forecasting, or supply chain)
Understanding of high-performance ML algorithms (SVM's, gradient boosted decision trees, deep neural networks, etc.) and with tool kits/frameworks from R or python, preferably cloud deployment experience.
Experience with Power BI.
Self-starter with a high level of intellectual curiosity
Strong analytical and hardworking problem-solving mindset
Able to build a sense of trust and rapport that creates a comfortable and effective workplace.