Data Scientist II

Work Location:

New York, New York, United States of America

0

$76,128 – $124,800 USD

TD is committed to providing fair and equitable compensation opportunities to all colleagues. Growth opportunities and skill development are defining features of the colleague experience  compensation policies and practices have been designed to allow colleagues to progress through the salary range over time as they progress in their role. The base pay actually offered may vary based upon the candidate’s skills and experience, job-related knowledge, geographic location, and other specific business and organizational needs.

As a candidate, you are encouraged to ask compensation related questions and have an open dialogue with your recruiter who can provide you more specific details for this role.

Analytics, Insights, & Artificial Intelligence

Our team currently operates under a primarily offsite work model, employees must be available to come into a TD location for “moments that matter” at a frequency determined by the business.

The Data Scientist II is part of the FCRM Screening Capabilities team but also works with cross-functional teams on various projects. He/she will resolve outstanding data issues and create innovative solutions;
Conduct ongoing data mining to ensure artifacts provide value, including root cause variance analysis;
Perform additional duties as assigned. SQL, Python (not required), Excel.

The Data Scientist II is responsible for collecting data and using wide range of data science techniques, including but not limited to data wrangling, profiling and visualization, statistical inference, to uncover actionable insights or build analytics solutions that guide decision making and strategic planning.

• Works autonomously within a specialized business management function and may provide work direction to others
• Provides seasoned specialized knowledge, advice and/or guidance to various stakeholders and team members
• Scope of role may have enterprise impact
• Focuses on short to medium – term issues (e.g. 6-12 months)
• Undertakes and completes a variety of complex projects and initiatives requiring specialist knowledge and/or the integration of cross functional processes within own area of expertise
• Oversees and/or independently performs tasks from end-to-end

• Undergraduate degree or advanced technical degree preferred (e.g., math, physics, engineering, finance or computer science) Graduate’s degree preferred with either progressive project work experience, or;
• 3+ years of relevant experience; higher degree education and research tenure can be counted

• SQL Developer
• Python
• Previous AML/Sanctions Screening experience is preferred but not mandatory.
• Degree in a quantitative field (mathematics, statistics, computer science, data science, data analytics, etc.).
• Some experience navigating large data sets and ability to extrapolate technical/complex issues.
• Hands-on experience in developing SQL relational tables, OLAP cubes, data marts.
• Ability to manage and optimize database and data warehouse systems.
• Critical thinking, analytical thinking, attention to detail, integrity.

• Understands business context and data infrastructure and translates business problems to viable data science solutions.
• Uses a wide range of programing languages (e.g. Python) and techniques for extracting and preparing data, applying statistics and various advanced analytics, along with business acumen to extract insights from the big data.
• Visualizes insights from the data to tell and illustrate stories that clearly convey the meaning of results to decision-makers and stakeholders at every level of technical understanding.
• Collaborates with other partners, such as data and business analysts, software engineers, data engineers, and application developers to develop scalable and sustainable data science solutions that retains long term benefit to the business.

• Solicits and offers ideas for improving business processes through insights with the objective of…