Bilingual Data Scientist (SP/ENG)
Typical Day in Role:
• Work in an Agile environment to deploy solutions within 90-120 days
• Collaborate with business lines and other stakeholders to identify opportunities to drive business value by leveraging Data Science
• Ingest massive volumes of structure and unstructured format data, model, transform and store it in a variety of data stores
• Python/NLP/Power BI
• Collaborate with Data engineering to deploy models and algorithms in production, across business lines and geographies
• Create and apply model and algorithm testing strategies to measure conduct multi-variate testing and A/B testing to measure effectiveness of models and make ongoing changes
• Prepare detailed documentation to outline data sources, models and algorithms used and developed
• Present results to business line stakeholders and help implement real data-driven changes
• Lead Research & Development work focused on the effective application of design thinking and scalable advanced techniques to drive ideation and innovation
• Collaborate with other Advanced Analytics stakeholders and partners to define data engineering, visualization and machine learning best-practices
• Be an integral part of the Advanced Analytics community for incubating ideas and use case acceleration in rapid labs across key markets through advisory, training and scalable solutions
• Support analytical use-case delivery, as well as customer/financial benefits tracking and communication
• Creates an environment in which his/her team pursues effective and efficient operations of his/her respective areas, while ensuring the adequacy, adherence to and effectiveness of day-to-day business controls to meet obligations with respect to operational risk, regulatory compliance risk, AML/ATF risk and conduct risk, including but not limited to responsibilities under the Operational Risk Management Framework, Regulatory Compliance Risk Management Framework, AML/ATF Global Handbook and the Guidelines for Business Conduct.
• Builds a high performance environment and implements a people strategy that attracts, retains, develops and motivates their team by fostering an inclusive work environment; communicating vison/values/business strategy and managing succession and development planning for the team.
Candidate Requirements/Must-Have skills:
1. Must be fluently bilingual in Spanish / English
2. 5-7+ years of working experience as a Data Scientist
3. 5-7+ years of recent and hands-on experience with Python
4. Experience cleaning, transforming and visualizing large data sets working with various data formats (e.g. unstructured logs, XML, JSON, flat files, audio, image)
Nice-To-Have Skills:
• Natural Language Processing Experience – preferably demonstrated in recent projects
• Solid SQL skills for querying relational databases (e.g. SQL Server, DB2, MySQL)
• Working experience with machine learning and other AI techniques for strategy design
• Previous experience working in Banking/FI
Soft Skills:
• Self-driven and able to work independently during different time zones and evenings
• Works well under pressure and against strict timelines
• Ability to work well within a team towards common goals
• Ability to provide progress reports and outline clear requirements to complete required integrated changes
• Able to write and communicate fluently in English and Spanish in order to provide clear directives and work well with remote assistance in various countries
Education:
• Post-secondary degree in relevant STEM discipline (Computer Sciences, Electrical/Computer/Software Engineering and Mathematics)
• Masters in AI and/or Analytics is an asset