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Data Scientist III

  • Job
    Full-time
    Senior Level
  • Data
    IT & Cybersecurity
  • Toronto

AI generated summary

  • You need a relevant degree or 5+ years of experience, 3+ years in Python, PySpark, SQL, and knowledge of Data Bricks, Cloud Computing, ADL, and ADF is a plus.
  • You will identify data science opportunities, extract insights using programming, visualize results, collaborate on solutions, and enhance business processes while maintaining risk management and mentoring others.

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
  • 5+ year of relevant experience; higher degree education and research tenure can be counted.
  • 3+ years in two or more of the following programing languages: Python, PySpark and SQL
  • Knowledge of Data Bricks, Cloud Computing, ADL (Azure Data Lake), ADF (Azure Data Factory) considered an asset

Responsibilities

  • Work closely with business owners to identify opportunities and serve as an ambassador for data science.
  • Be familiar with the business context and data infrastructure and can translate business problems to viable data science solutions.
  • Use 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.
  • 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 engineer, data engineers, and application developers to develop scalable and sustainable data science solutions that retains long term benefit to the business.
  • Analytical thought leadership and stay current on developments in data mining and the application of data science.
  • 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 result.
  • 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, meets business needs, complies with internal and external requirements, and aligns 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 actions / 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 in own area 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.
  • 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.
  • Undertake and complete a variety of complex initiatives requiring seasoned specialist knowledge and/or the integration of cross functional processes.
  • Position typically deals with senior/executive management.
  • Work independently on activities related to analysis, design and support of technical data management solutions on various projects ranging in complexity and size.
  • Focus on longer-range planning for functional area (e.g. 12 months or greater).
  • May manage and prioritize multiple projects at a given time.
  • Generally reports to a Senior Manager or executive role.

FAQs

What is the job title for this position?

The job title is Data Scientist III.

Where is the job location?

The job is located in Toronto, Ontario, Canada.

What are the working hours for this position?

The working hours are 37.5 hours per week.

What is the salary range for this role?

The salary range is $97,400 - $136,800 CAD.

Is there a pay premium available for this position?

Yes, this role is temporarily eligible for a pay premium above the posted salary range, which is reassessed annually.

What is the required experience for this role?

The role requires 5+ years of relevant experience, along with knowledge in programming languages such as Python, PySpark, and SQL.

What educational background is preferred for candidates?

An undergraduate degree or advanced technical degree in math, physics, engineering, finance, or computer science is preferred, with a graduate degree being advantageous.

Is knowledge of specific technologies required for this position?

Knowledge of Data Bricks, Cloud Computing, Azure Data Lake (ADL), and Azure Data Factory (ADF) is considered an asset.

Will there be opportunities for professional growth in this role?

Yes, TD Bank offers growth opportunities and skill development as defining features of the colleague experience.

How does TD Bank support its employees’ total rewards?

TD Bank's Total Rewards package includes base salary, variable compensation, health and well-being benefits, savings and retirement programs, paid time off, and various career development programs.

What is the interview process like for this position?

Candidates of interest will be contacted to schedule an interview, and TD Bank strives to communicate outcomes to all applicants by email or phone call.

Are there accommodations available during the interview process?

Yes, accommodations such as accessible meeting rooms and captioning for virtual interviews can be arranged upon request to help remove barriers during the interview process.

Does TD Bank emphasize diversity and inclusion in its hiring practices?

Yes, TD Bank is committed to being an inclusive employer and supports a diverse workforce.

The business community for LGBTQ+ professionals, graduates, inclusive employers and advocates for workplace equality.

Technology
Industry
11-50
Employees
2014
Founded Year

Mission & Purpose

myGwork is the largest global platform for the LGBTQ+ business community. Our mission is to make the workplace more inclusive for all by providing individual users and partner organizations access to a wide eco-system of services, including job opportunities, training, mentoring, employer branding, and free community events. Joining the platform is free for individual members, which supports myGwork’s goal of ensuring that the platform's benefits are as accessible and as far-reaching as possible. Corporate members get a tailored service, with carefully curated product packages to help them achieve all their DE&I goals. myGwork organizes two annual events, WorkFair – the largest virtual global career fair for the LGBTQ+ professionals, graduates and students, and WorkPride – a week-long global conference for the LGBTQ+ business community and allies during Pride Month. The company also recently launched the myGwork Academy, delivering practical and relevant LGBTQ+ training education to help create inclusive workplaces for all.