Bachelor’s degree required in Data Science, Machine Learning, Computer Science, Mathematics or Statistics. MSc in Data Science or Operations Research
5+ Years of experience in modeling and solving large-size decision optimization problems using constraint programming, mixed integer programming, etc., and data science, machine learning, anomaly detection techniques
Skilled in Python
Meticulous attention to detail, data integrity, and data wrangling
Passionate about understanding and solving problems, drawing insights and hidden patterns from data, visualization and data storytelling
Ability to get things done, experience in delivering end-to-end projects
Knowledge of relational database technologies such as Snowflake, MySQL, and lightweight user interfaces like Streamlit, Tableau, ThoughtSpot, virtualization using Docker, Kubernetes
Ability to articulate complex AI concepts in business terms, know how to tell a story to highlight key insights, and present analysis effectively to key partners
High intellectual curiosity to learn and understand business needs
Excellent social skills to collaborate with cross-functional partners to share knowledge, communicate findings, and integrate feedback
Proven ability to operate comfortably and effectively in a fast-paced, highly-matrixed, rapidly changing environment
Demonstrated collaboration as well as leadership and influencing skills