Data Scientist II - FCRM -Screening Capabilities

TD Bank • Greenville, NY

1d • Onsite

About The Position

The Data Scientist II is responsible for collecting data and using a wide range of data science techniques, including but not limited to data wrangling, profiling and visualization, and statistical inference, to uncover actionable insights or build analytics solutions that guide decision making and strategic planning. 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. This role works autonomously within a specialized business management function and may provide work direction to others. It provides seasoned specialized knowledge, advice and/or guidance to various stakeholders and team members. The scope of the role may have enterprise impact and focuses on short to medium-term issues (e.g., 6-12 months). The role 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. It oversees and/or independently performs tasks from end-to-end.

Requirements

• 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+ year of relevant experience; higher degree education and research tenure can be counted
• SQL developer
• Python
• Advanced Excel

Responsibilities

• Collect data and use a wide range of data science techniques, including data wrangling, profiling, visualization, and statistical inference, to uncover actionable insights or build analytics solutions that guide decision making and strategic planning.
• 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.
• Understand business context and data infrastructure and translate business problems into viable data science solutions.
• Use a wide range of programming 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 big data.
• Visualize 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.
• Collaborate 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 retain long-term benefit to the business.
• Solicit and offer ideas for improving business processes through insights with the objective of improving effectiveness and efficiency.
• Educate the organization on approaches, such as testing hypotheses and statistical validation of results.
• Help the organization understand the principles and the math behind the scientist process to drive organizational alignment.
• Translate up-to-date information into continuous improvement activities that enhance performance.
• Adhere to enterprise frameworks or methodologies that relate to activities for our business area.
• Ensure respective programs/policies/practices are well managed, meet business needs, comply with internal and external requirements, and align with business priorities.
• Participate in cross-functional/enterprise initiatives as a subject matter expert helping to identify risk/provide guidance for complex situations.
• Monitor service, productivity and assess efficiency levels within own function and implement continuous process/performance improvements where opportunities exist.
• Lead/facilitate and/or implement action/remediation plans to address performance/risk/governance issues.
• Actively manage relationships within and across various business lines, corporate and/or control functions and ensure alignment with enterprise and/or regulatory requirements.
• Keep abreast of emerging issues, trends, and evolving regulatory requirements and assess potential impacts.
• Maintain a culture of risk management and control, supported by effective processes in alignment with risk appetite.
• Participate fully as a member of the team, support a positive work environment that promotes service to the business, quality, innovation and teamwork and ensure timely communication of issues/points of interest.
• Provide thought leadership and/or industry knowledge for own area of expertise and participate in knowledge transfer within the team and business unit.
• Keep current on emerging trends/developments and grow knowledge of the business, related tools and techniques.
• Participate in personal performance management and development activities, including cross training within own team.
• Keep others informed and up to date about the status/progress of projects and/or all relevant or useful information related to day-to-day activities.
• Contribute to team development of skills and capabilities through mentorship of others, by sharing knowledge and experiences and leveraging best practices.
• Lead, motivate and develop relationships with internal and external business partners/stakeholders to develop productive working relationships.
• Contribute to a fair, positive and equitable environment that supports a diverse workforce.
• Act as a brand ambassador for your business area/function and the bank, both internally and/or externally.

Benefits

• Base salary and variable compensation/incentive awards (e.g., eligibility for cash and/or equity incentive awards, generally through participation in an incentive plan)
• 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
• Reward and recognition
• Training programs
• Mentoring programs

What This Job Offers

• Job Type: Full-time
• Career Level: Mid Level