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

Additional Competencies

• Excellent English, quantitative, technical, and communication (oral/written) skills
• Analytical/Problem Solving
• Strong attention to detail and quality
• Creativity/Innovation
• Self-motivated, operates with a sense of urgency
• Project Management/Risk Mitigation
• Able to prioritize and perform multiple tasks simultaneously