Staff Data Scientist - Operations Intelligence

About the Role

Key Responsibilities

• Provide support for projects, functions, and strategic objectives of the Operations Intelligence Team.
• Transform a mixture of structured and unstructured data into actionable data insights and products.
• Build new analytic tools to quantify, visualize, and structure various data sources.
• Apply advanced analytics to solve product or business problems.
• Deploy real-time predictive models to production using CI/CD/CT practices.
• Collaborate closely with product owners, project managers, designers, and other team members to define success criteria and deliver solutions.

Requirements

• 6 years of work experience using advanced analytics to solve product or business problems.
• Master's degree in data science.
• Experience leading multiple projects and deploying real-time predictive models to production.
• Deep experience in deriving insights from big data.
• Excellent communication skills for interfacing with internal and external departments.
• Advanced knowledge of SQL and statistical programming languages (e.g., Python, R, Scala, C++).
• Experience handling and querying datasets and databases of various sizes and degrees of cleanliness.
• Deep understanding of statistical analysis and methods.
• Ability to independently manage and consult with stakeholders in complex projects.
• GCP certifications (e.g., ML engineer, Data engineer).

Nice to Have

• Experience with GCP certifications such as ML engineer or Data engineer.

Qualifications

• Typically requires a Bachelor's degree in a technical discipline, and a minimum of 8-12 years related experience or a Master's degree and 5-7 years industry experience or a PhD and 2-4 years of experience.

Benefits & Perks

• A full and comprehensive benefits program.
• Growth opportunities on a global scale.
• Access to career development through in-house learning programs and/or qualified tuition reimbursement.
• Opportunity to work with life-changing CGM technology.