Proactively reviews technical literature, learns a new methodology and aligns with Data Science leaders.
Works with Data Science leaders to develop new innovative solutions to existing or new business challenges.
Identifies business need, aligns with key stakeholders, organizes analytics team, seamlessly connects model findings to business strategy, and generates recommendations that fit business reality.
Defines and implements models to uncover patterns and predictions creating business value and innovation.
Leads complex cross-organizational project, which involves several Data Scientists.
Provides guidance, training and mentoring to less experienced staff members.
Provides domain-specific expertise in cross-organization projects/initiatives.
Effectively collaborates with Managers, Directors, EXEC2s and EXEC3.
Develops clear presentations for senior decision makers including case for change, options, trade-offs and recommendation.
Manages relationships with business partners to evaluate and foster data driven innovation, provide domain-specific expertise in cross-organization projects/initiatives.
Supports their people leader with skills assessment, feedback, hiring criteria/approach.
Ties insights into effective visualizations communicating business value and innovation potential.
Maintains proficiency within the data science domain by keeping up with technology and trend shifts. Contributes to industry data science domain initiatives.
Requirements
Bachelor's, master's or Ph.D. degree in Mathematics, Economics, Physics, Computer Science, or equivalent
Typically, 6-10 years of relevant work experience
Extensive experience using statistics, mathematics, algorithms, and programming languages to solve business problems
Experience in test design and measurement, customer segmentation, cleanroom technology, MTA, and MMM
Ability to define and create complex models to pull valuable insights, predictions, and innovation from data
Proficient in Python and SQL
Excellent written and verbal communication skills; mastery in English