Work Location:
New York, New York, United States of America
Hours:
40
Pay Details:
$95,264 - $155,376 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 at TD. Our 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.
Line of Business:
Analytics, Insights, & Artificial Intelligence
Job Description:
The Data Scientist III provides technical leadership across the overall Analytics function which may have an enterprise mandate. This role generally provides deep technical knowledge and expertise in client interactions to explain complex data analysis related material.
Department Overview:
The Advanced Analytics (AA) team at TD Bank serves as a center of excellence (CoE), providing essential support to US lines of business with their advanced analytics requirements. This dedicated team specializes in creating and implementing sophisticated statistical and Machine Learning and Artificial Intelligence solutions to address a wide range of strategic business challenges across consumer, commercial, and shared services sectors within TD Bank. The AA team collaborates closely with key stakeholders to identify opportunities for leveraging data-driven insights and predictive models to drive informed decision-making and optimize business outcomes. By harnessing cutting-edge analytical tools and techniques, the team helps TD Bank stay ahead of the curve in a rapidly evolving financial landscape. Additionally, they play a vital role in fostering a culture of innovation and continuous improvement by staying abreast of emerging trends and technologies in the field of advanced analytics. Through their expertise and dedication, the AA team contributes significantly to TD Bank's competitive edge and overall success in the marketplace.
Position Overview:
The role is focused on developing and applying a broad set of evolving advanced statistical and AI/ML techniques to solve business problems. It includes gathering, analyzing, and modeling a wide range of data, applying mathematical models/techniques and tools, and utilizing software engineering best practices to develop and implement solutions.
The successful candidates will play a lead role in the end-to-end project delivery for large scale and cross-functional advanced analytics projects leveraging leading-edge techniques and innovative solutions to solve a wide array of business problems. They will provide deep technical expertise in stakeholder interactions related to complex advanced analytics and AI/ML areas.
Detailed accountabilities include:
• Develop robust and reliable machine learning algorithms helping to solve strategic business challenges.
• Use advanced techniques, such as advanced statistics, advanced mathematics, machine learning and AI, NLP, LLMs and Generative AI, geospatial analytics, storytelling & visualization, on structured and unstructured data to enable insightful actions.
• Leverage a broad stack of technologies and platforms and packages— Python, Azure DataBricks, PySpark, PyTorch, and more — to reveal the insights hidden within huge volumes of numeric and textual data.
• Work closely with various stakeholders and successfully lead the project through all phases of the model lifecycle, from ideation and design through data gathering, training, evaluation, control and governance partners review and approval process, implementation, and ongoing monitoring and maintenance.
• Provides expertise in stakeholder interactions related to complex advanced analytics related material. Effectively communicate model design and results to senior leaders and business partners, articulate the business problems from a technical/quantitative definition and facilitate key strategic discussions and provide thought leadership.
• Provide strong knowledge in various AI/ML areas. Deliver insight into leading analytic practices, designs and leads iterative learning and development cycles, and ultimately produce new and creative analytic solutions that will become core deliverables.
• Maintain full professional knowledge of techniques and developments in the field of Machine Learning and AI, including Generative AI, and share knowledge with more junior staff, business partners, and senior management.
• Collaboration with cross-functional teams and stakeholders to translate business needs into innovative AI and data-driven solutions.
• Maintain relationship with the team'
Location: Charlotte, NC
Posted: Oct. 23, 2024, 8:53 a.m.
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