Data Scientist III (B3617)

TD Bank

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profile Job Location:

Toronto - Canada

profile Monthly Salary: $ 96900 - 136800
Posted on: Yesterday
Vacancies: 1 Vacancy

Job Summary

Work Location:

Toronto Ontario Canada

Hours:

37.5

Line of Business:

Analytics Insights & Artificial Intelligence

Pay Details:

$96900 - $136800 CAD

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 candidates 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.

Job Description:

Provide 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.

CUSTOMER:

  • 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.

SHAREHOLDER:

  • 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.

EMPLOYEE / TEAM:

  • 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

BREADTH & DEPTH:

  • 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.

EXPERIENCE AND / OR EDUCATION:

  • Undergraduate degree or advanced technical degree preferred (e.g. math physics engineering finance or computer science) Graduates degree preferred with either progressive project work experience or

  • 5 year of relevant experience; higher degree education and research tenure can be counted.

  • Must have experience in SQL Server Power BI and Power Query.

  • Experience in data mining and data collection.

Who We Are:

TD is one of the worlds leading global financial institutions and is the fifth largest bank in North America by branches/stores. Every day we strive to make every interaction product and experience remarkably human and refreshingly simple for over 27 million households and businesses in Canada the United States and around the world. More than 95000 TD colleagues bring their skills talent and creativity to foster deeper relationships ensure disciplined execution and build a simpler faster banking experience. TD is deeply committed to being a leader in client experience that is why we believe that all colleagues no matter where they work are client facing. Together we are reimagining what banking can be for our clients colleagues and communities.

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 a base salary variable compensation and several other key plans such as health and well-being benefits savings and retirement programs paid time off banking benefits and discounts career development and reward and recognition programs. Learn more

Additional Information:
Were delighted that youre considering building a career with TD. Through regular development conversations training programs and a competitive benefits plan were committed to providing the support our colleagues need to thrive both at work and at home.

Please be advised that this job opportunity is subject to provincial regulation for employment purposes. It is imperative to acknowledge that each province or territory within the jurisdiction of Canada may have its own set of regulations requirements.


Colleague Development

If youre interested in a specific career path or are looking to build certain skills we want to help you succeed. Youll 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.

If youre passionate about helping clients and building deep lasting relationships TD offers diverse career paths where you can grow your expertise and make a meaningful impact.

Were committed to your success and foster a respectful workplace where diverse perspectives are valued everyone has fair opportunities to grow and you can unlock your full potential to achieve your career goals. Here at TD we hire and develop the best.

Training & Onboarding
We will provide training and onboarding sessions to ensure that youve got everything you need to succeed in your new role.

Interview Process
Well 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
Your accessibility is important to us. Please let us know if youd like accommodations (including accessible meeting rooms captioning for virtual interviews etc.) to help us remove barriers so that you can participate throughout the interview process.

We look forward to hearing from you!

Language Requirement (Quebec only):

Sans Objet

Required Experience:

IC

Work Location:Toronto Ontario CanadaHours:37.5Line of Business:Analytics Insights & Artificial IntelligencePay Details:$96900 - $136800 CADTD is committed to providing fair and equitable compensation opportunities to all colleagues. Growth opportunities and skill development are defining features of...
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Key Skills

  • Laboratory Experience
  • Immunoassays
  • Machine Learning
  • Biochemistry
  • Assays
  • Research Experience
  • Spectroscopy
  • Research & Development
  • cGMP
  • Cell Culture
  • Molecular Biology
  • Data Analysis Skills

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