Senior Data Scientist

Role Overview

This position requires proficient application of data science principles, methodologies, and theories to assignments, even when prior examples exist. The role expects familiarity with related disciplines and the capacity to resolve a broad spectrum of complex issues through the design and implementation of data science research.

The successful candidate will take initiative in identifying and experimenting with innovative strategies for data science solutions, significantly contributing to the development, testing, and deployment phases.

Education and Experience

Applicants should hold a degree in data science, mathematics, statistics, computer science, or a closely related discipline. The experience prerequisites vary according to educational background: a Bachelor's degree with 6 to 8 years of relevant experience, a Master's degree with at least 3 years, or a PhD with under 2 years of professional experience.

Responsibilities and Autonomy

The role involves being a pivotal data science contributor on moderately complex projects or experiments that substantially impact the business. The individual has a moderate degree of freedom to define the technical approaches necessary to fulfill the objectives and typically reports to a Data Science Manager or a higher-level technical expert.

Inclusion and Diversity Commitment

The company is devoted to fostering an inclusive and equitable workplace, ensuring fair treatment in all aspects of employment including recruitment, hiring, promotion, and advancement, without discrimination on grounds of race, religion, color, creed, nationality, citizenship, gender, sexual orientation, genetic information, marital status, age, or disability.