Data Scientist III (US)

Mt Laurel - 6000 Atrium Way

TD

Explore what TD Canada Trust is all about. Learn about our values, initiatives, reporting, news, careers, recent awards, and more.

View all jobs at TD

Apply now Apply later

Work Location:

Mount Laurel, New Jersey, United States of America

Hours:

40

Pay Details:

$122,304 - $183,456 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 oversight and consultative advice and guidance to others as the lead or top Data Scientist with enterprise or significant cross business mandate. Role may also evaluate, investigate and identify technical solutions and provide leading-edge techniques and lead innovation to create methodologies to solve a wide array of complex business or enterprise issues.

Provide technical leadership across the Analytics function supporting fraud and financial crimes with an enterprise mandate. Role generally provides deep technical knowledge and expertise in customer interactions and financial crimes (including Fraud and AML) to explain complex data analysis and drive insights in a compelling manner to support a growth mandate and inform strategic change.

Depth & Scope:

  • Delivers advanced analytical capabilities above and beyond existing methods
  • Exceptionally lead and run analytical projects autonomously and create and effectively deliver analytical presentations for executive audiences/stakeholders
  • Showcase advance level peer leadership, impact and influence partner, and may mentor / coach peers
  • Extensive understanding of the business supported and the overall bank with deep expertise and highly specialized knowledge of analytical concepts and techniques
  • Acts as a key business partner, guide and collaborate with business leaders to prioritize and identify key business needs and provide impactful analytical insights


Education & Experience:

  • Undergraduate degree or technical certificate
  • 10+ 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
  • Expert 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 :

  • 5+ years managing a team supporting advanced machine learning
  • Advanced coding skills (python, pyspark preferred)
  • Experience in financial crimes - preferred

Customer Accountabilities:

  • Provides deep technical leadership and expertise to support and define future direction in one or more specialized areas or lead strategic development efforts on new or emerging data science related projects
  • Works closely with business owners to identify opportunities and serve as an ambassador for data science
  • Plays a lead role on cross functional teams of data scientists, data and IT engineers, and business process owners to build cutting edge analytic solutions
  • Designs and deliver enterprise analytic solutions to our customers
  • Develops powerful business insights from social, marketing and industrial data using advanced machine learning techniques

Shareholder Accountabilities:

  • Builds complex statistical models that learn from and scale to petabytes of data
  • Provides analytical thought leadership and staying current on developments in data mining and the application of data science
  • Provides thought leadership and/or broad industry knowledge across multiple business / functional areas or across the enterprise
  • Applies industry / analytical expertise to provide innovative and sound solutions that increase business results and/or minimizes risk
  • Identifies new analytical trends / data needs and repeatable analytic solutions and works with stakeholders to generate hypothesis and create analytical models that help answer impactful business questions
  • Accountable for creating and implementing processes and systems to extract knowledge or insights from data of various forms either structured or unstructured.
  • Employs techniques and theories drawn on many fields within the broad areas of mathematics and statistics

Employee/Team Accountabilities:

  • Works in a highly interactive, team-oriented environment with Big Data developers and Visualization experts
  • Acts as a lead or top technical data scientist and work closely with senior leadership on significant data projects
  • Supports a positive work environment that promotes service to the business, quality, innovation, and teamwork; ensure timely communication of issues/ points of interest
  • Develops creative and innovative data driven analytical solutions to optimize operational efficiencies and leverage synergies to support overall business strategies
  • 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 USWAPTDO@td.com. 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.

Apply now Apply later
Job stats:  1  0  0
Category: Data Science Jobs

Tags: Banking Big Data CX Data analysis Data Mining Excel Hadoop Industrial Machine Learning Mathematics PySpark Python Statistics

Perks/benefits: Career development Competitive pay Equity / stock options Health care

Region: North America
Country: United States

More jobs like this