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statistical analyst
Title posted on CareerBeacon - Data Scientist Opportunities
Posted on November 07, 2024 by Employer details TD Bank
Job details
Work Location:Toronto, Ontario, CanadaHours:37.5Line of Business:Analytics, Insights, & Artificial IntelligencePay Details:65,600 - 136,800 CADTD 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.Job Description:Department Overview:The Data Science team consists of professional roles that provide consultative support with data & analytics-based business insights and/or solutions to guide decision making and/or strategic planning; it leverages and interprets data and analytical product to provide business specific or broad strategic insight by using a variety of analytics techniques and audience-specific communication skills. This area can also focus on gathering, analyzing and modeling all kinds of data to develop business insights or analytics solutions and generally involves the use of broad range of statistical and/or mathematical models/techniques and tools.Job DescriptionWe will be offering a variety of roles from junior to senior level. The individuals are principally responsible for supporting specifically assigned data & analytics projects and often provide on-going analytical sights for specific business domains.The roles may consist of (but not limited to) one or more of the following key areas:Use a wide range of programing languages (e.g. Python) and data science techniques for extracting and preparing data, applying statistics and various advanced analytics, along with business acumen to extract insights from the big data or build analytics solutions to answer impactful business questions and guide business decisions.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 on-going benefit to the business.Identifies new analytical trends / data needs to improve repeatable analytic solutions.Interdisciplinary field focused on processes and systems to extract knowledge or insights from data of various forms either structured or unstructured techniques.Employs techniques and theories drawn on many fields within the broad areas of mathematics and statistics that may be applied across a variety of products, services, business lines, or segments.Educate the organization on data science approaches, such as experimental test & learn, testing hypotheses and statistical validation of result.Enhance business strategies by leveraging analytics and insights to foster strategic thinking, guiding the organization towards informed decisions and sustainable growth.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 performanceKeep 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, inno- LocationMontréal, QC
- Workplace information On site
- SalaryNot available
- Terms of employment Permanent employmentFull time
- Starts as soon as possible
- vacancies 1 vacancy
- Source CareerBeacon #2116181
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