BS or MS ideally in a quantitative data science discipline (e.g., statistics, computer science, mathematics, electrical engineering, outcomes research) with a minimum of 6+ years of relevant work experience.
Deep experience working within big-data environment; ideally experienced with ELK, Kafka, Python, Tableau – or similar related systems.
Demonstrated track record of developing and execution of data science research projects (e.g., real world data analysis, clear vision on data presentation) with presentations and ideally with publications.
Demonstrated experience with managing project scope and driving delivery in an evolving environment requiring proactivity and effective problem-solving and prioritization when faced with challenges
Demonstrated strong collaboration skills and excellent communication skills
Demonstrated entrepreneurial mindset and self-direction, ability to teach others and willingness to learn new techniques
Deep subject matter expertise with proven ability to transfer this expertise across the business; proven track record of setting new standards, advancing the field of expertise (internally and externally) and engaging & influencing executive leaders internally and externally (e.g. in academic setting).
Experience in conducting observational research
Qualification and Skillset
Bachelor or Master Degree in Computer Science/Engineering or equivalent.
Proficiency in English, both written and verbal
Availability to work non-standard business hours regularly due to the global nature of role