Manager, Data Scientist

Role & Responsibilities Work closely with global pricing and interchange team to develop an analytic solution (e.g., dashboards, prototypes), utilizing complex statistical and data science techniques that adhere to best practices and communicate a story on large volumes of data to support data insights across products, markets, and services. Lead cross-functional projects using advanced data modelling and analysis techniques to discover insights that will guide strategic decisions and uncover optimization opportunities. Translate business requirements into tangible technical solution specifications and high quality, on time deliverables. Strongly supports 80/20 principles to support development of modelling and reporting Effectively use tools to manipulate large-scale databases, synthesizing data insights. Provide 1st level insights / conclusions / assessments and present findings via Tableau/PowerBI dashboards, Excel, and PowerPoint. Apply quality control, data validation, and cleansing processes to new and existing data sources. Recruit, train, develop and supervise analyst-level employees. Communicate results and business impacts of insight initiatives to stakeholders in leadership, technology, sales and product teams. All about You A superior academic record at a leading university in Computer Science, Data Science, Technology, mathematics, statistics, or equivalent work experience. High proficiency in using Alteryx, Python/Spark, Hadoop platforms & tools (Hive, Impala, Airflow), and advanced SQL to build Big Data products & platforms Demonstrated success interacting with stakeholders to understand technical needs and ensuring analyses and solutions meet their needs effectively. Ability to build a strong narrative on the business value of products and actively participate in the product optimization efforts. Able to work in a fast-paced, deadline-driven environment as part of a team and as an individual contributor. Ability to easily move between business, analytical, and technical teams, and articulate solution requirements for each group. Experience with Enterprise Business Intelligence Platform/Data platform i.e. Tableau, PowerBI, Certification is a plus. In depth technical knowledge, drive, and ability to learn new technologies. Knowledge of ML frameworks, libraries, data structures, data modelling, and software architecture is a plus. Must be able to perform in a team, use judgment and operate under ambiguity Education Bachelor s or master s Degree in a Computer Science, Information Technology, Engineering, Mathematics, Statistics, M.S./M.B.A. preferred