Manager, Data Scientist

• Work closely with global enterprise gateway team to develop an analytic solution (eg, 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 ie 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
bachelors or masters 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