Work Location: Remote New York (NY) Hours: 40 Pay Details:
$95,264 – $155,376 USD TD is committed to providing fair and equitable compensation opportunities to all colleagues. The included salary range for this role takes into account multiple factors that are considered in making compensation decisions. The base pay actually offered may vary based upon candidate’s skills and experience, job-related knowledge, licensure and certifications, geographic location, and other specific business and organizational needs. As TD puts career development at the forefront of our colleague experience, it is not typical for an individual to be hired at or near the top of the range for their role. 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: Data & Analytics Job Description: The Data Scientist II provides technical leadership across the overall Analytics function which may have an enterprise mandate. Role generally provides deep technical knowledge and expertise in client interactions to explain complex data analysis related material. The incumbent develops predictive and prescriptive analytics for a variety of strategic business challenges in consumer, commercial and shared services at TD Bank. The incumbent will be part of a team that’s leading the next wave of disruption at a whole new scale, using the latest in computing and machine learning technologies and operating across billions of customer records. The incumbent oversees the development of statistical and machine learning models, data mining and advanced analytic solutions, facilitates key strategic discussions, and provides thought leadership to executive audience. The incumbent leads end-to-end project delivery for large scale and cross-functional advanced analytics projects leveraging advanced technologies (Python, SQL, Java, Cortex, PySpark, ArcPro, Distributed Computing) and methods (advanced statistics, advanced mathematics, machine learning, geospatial analytics, storytelling & visualization). Engaging and communicating with senior executives, and business partners from the start and through the journey, crafting and articulating the business problems from a technical/quantitative definition and facilitate key strategic discussions and provide thought leadership. The incumbent will lead and oversee building best-in-class complex statistical and machine learning models through all phases of development, from design through training, evaluation, validation, and implementation. Will lead effective interaction with Model Risk Management (MRM) and Compliance (CAP) partners to successfully go through approval and validation process in a timely manner. Ensure that the model/project solves the desired business problem, is moved to production efficiently, and is deployed for maximum value and work with downstream teams as a model expert, integrating the model output to maximum effectiveness (e.g. in marketing campaigns/fraud detection/pricing optimization/network tactics etc.). The incumbent will build and maintain relationship with our strategic partners (Layer 6, AMCB teams, Enterprise Data & Analytics, and external consultants) and ensure that their solution solves the desired business problem, is moved to production efficiently, and is deployed for maximum value. Support our strategic partners with data discovery, target definition and other technical support, and collaborate with them to satisfy control & compliance partner requirements. Bring their experience back to the AMCB D&A team. Develop robust and reliable machine learning algorithms helping to solve strategic business challenges Use modern machine learning techniques on structured and unstructured data Leverage a broad stack of technologies — Python, Conda, Azure Databricks, Java, Spark, and more — to reveal the insights hidden within huge volumes of numeric and textual data Build machine learning models through all phases of development, from design through training, evaluation, validation, and implementation Serve as a mentor and technical leader to junior Data Scientists Communicate model algorithms and results to senior leaders and business partners R&D on new Machine Learning techniques and their applications Strategic partner to leadership team on the management of the portfolio and financials, with deep industry, external / internal, enterprise knowledge, recognizing and anticipating emerging trends and identifying operational efficiencies and opportunities with other business management / enterprise areas Focus on longer-range planning for functional area (e.g. 12 months or greater) Depth & Scope: Generally accountable for a significant business management area that typically has enterprise wide impact or accountability Enterprise or functional expert, requiring broad managerial and deep specialized knowledge at the enterprise, business, regulatory and industry levels Undertakes and completes a variety of complex initiatives requiring seasoned specialist knowledge and/or the integration of cross functional processes Position typically deals with senior/executive management Focuses on longer-range planning for functional area (e.g. 12 months or greater) May manage and prioritize multiple projects at a given time Education & Experience: Undergraduate degree or technical certificate 7+ years relevant experience Proficient PC skills including a strong competency in MS Excel and PowerPoint, and a variety of PC based analytical and reporting software packages Advanced experience in the knowledge, utilization and adoption of the latest tools (i.e. machine learning) and technologies (i.e. Hadoop) in big data and advanced analytics Strong analytical and program solving skills are required to interpret data and draw conclusions Excellent written and verbal communications skills Preferred Qualifications: Formal training or substantive experience in a quantitative field such as Computer Science, Statistics, Mathematics or relevant fields Deep knowledge of regressions such as logistic regression, supervised and unsupervised machine learning algorithms such as Gradient Boosting Method, XGBoost, NLP, Spatial Data Science, and time series forecasting Have full stack experience in data collection, aggregation, analysis, visualization, productionalization, and monitoring of Data Science products Good understanding of object oriented programming, testing framework and proficiency in programming languages such as R, Python and libraries/modules such as pyspark, sklearn, pytest, etc.. Familiarity with functional programming in Java, ArcGIS is a plus. Skilled with version control software or platform such as Git, Bitbucket or Github; IDE such as PyCharm, IntelliJ or Visual Studio Code. Experience with Cloud Computing such as AWS, Azure or Google Cloud. Experience with both spark/HDFS system and traditional relational database/system language (e.g. SQL) Strong analytical and problem solving skills are required to interpret data and draw conclusions. Excellent written and verbal communications skills. Ability to provide conflict resolution and collaborate effectively with teammates Strong ability to successfully balance competing priorities in a fast-paced environment Customer Accountabilities: Provides 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 Works closely with business owners to identify opportunities and serve as an ambassador for data science Designs and deliver enterprise analytic solutions for customers Develops powerful business insights from social, marketing and industrial data using advanced machine learning techniques Works in a highly interactive, team-oriented environment with Big Data developers, engineers, modelers and Visualization experts Shareholder Accountabilities: Builds complex statistical models that learn from and scale to petabytes of data Analytical thought leadership and stay current on developments in data mining and the application of data science Works independently as a senior lead and may manage and direct activities related to analysis, design and support of technical data management solutions on various projects ranging in complexity and size Employee/Team Accountabilities: Acts as a technical working lead/resource to others. Work closely with senior leadership on significant projects. Provides thought leadership and/or industry knowledge for own area of expertise Supports a positive work environment that promotes service to the business, quality, innovation, and teamwork; ensure timely communication of issues/ points of interest Identifies opportunities, leverage data related solutions to drive business productivity, and implement measures to enhance effectiveness and operational efficiency Works effectively as a team, supporting other members of the team in achieving business objectives and providing client services Participates in knowledge transfer within the team and business units Who We Are: TD is one of the world’s leading global financial institutions and is the fifth largest bank in North America by branches/stores. Every day, we deliver legendary customer experiences to over 27 million households and businesses in Canada, the United States and around the world. More than 95,000 TD colleagues bring their skills, talent, and creativity to the Bank, those we serve, and the economies we support. We are guided by our vision to Be the Better Bank and our purpose to enrich the lives of our customers, communities and colleagues. TD is deeply committed to being a leader in customer experience, that is why we believe that all colleagues, no matter where they work, are customer facing. As we build our business and deliver on our strategy, we are innovating to enhance the customer experience and build capabilities to shape the future of banking. Whether you’ve got years of banking experience or are just starting your career in financial services, we can help you realize your potential. Through regular leadership and development conversations to mentorship and training programs, we’re here to support you towards your goals. As an organization, we keep growing – and so will you. Our Total Rewards Package Our Total Rewards package reflects the investments we make in our colleagues to help them and their families achieve their financial, physical and mental well-being goals. Total Rewards at TD includes base salary and variable compensation/incentive awards (e.g., eligibility for cash and/or equity incentive awards, generally through participation in an incentive plan) and several other key plans such as health and well-being benefits, savings and retirement programs, paid time off (including Vacation PTO, Flex PTO, and Holiday PTO), banking benefits and discounts, career development, and reward and recognition. Learn more ( Additional Information: We’re delighted that you’re considering building a career with TD. Through regular development conversations, training programs, and a competitive benefits plan, we’re committed to providing the support our colleagues need to thrive both at work and at home. Colleague Development If you’re interested in a specific career path or are looking to build certain skills, we want to help you succeed. You’ll have regular career, development, and performance conversations with your manager, as well as access to an online learning platform and a variety of mentoring programs to help you unlock future opportunities. Whether you have a passion for helping customers and want to expand your experience, or you want to coach and inspire your colleagues, there are many different career paths within our organization at TD – and we’re committed to helping you identify opportunities that support your goals. Training & Onboarding We will provide training and onboarding sessions to ensure that you’ve got everything you need to succeed in your new role. Interview Process We’ll reach out to candidates of interest to schedule an interview. We do our best to communicate outcomes to all applicants by email or phone call. Accommodation If you are an applicant with a disability and need accommodations to complete the application process, email the TD Bank US Workplace Accommodations Program at . Include your full name, best way to reach you, and the accommodation needed to assist you with the application process. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, or status as a protected veteran. Federal law prohibits job discrimination based on race, color, sex, sexual orientation, gender identity, national origin, religion, age, equal pay, disability and genetic information.
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