Data Scientist II

myGwork - LGBTQ+ Business Community

16d ago

Job
Full-time
Junior Level
Data
IT & Cybersecurity
Toronto

AI generated summary

You need 2+ years of experience with Python, SQL, and PySpark. Fraud/financial crimes experience is a plus. An undergrad or advanced degree in a technical field is preferred.
You will translate business problems into data science solutions, collaborate with teams, visualize insights, improve processes, and mentor others while ensuring alignment with organizational goals.

Requirements

Minimum 2 years experience with Python, SQL, PySpark
Fraud or Financial Crimes experience is an asset
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

Responsibilities

Understand business context and data infrastructure and 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.
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.
Work autonomously within a specialized business management function and may provide work direction to others.
Provide seasoned specialized knowledge, advice and/or guidance to various stakeholders and team members.
Scope of role may have enterprise impact.
Focus on short to medium - term issues (e.g. 6-12 months).
Undertake and complete a variety of complex projects and initiatives requiring specialist knowledge and/or the integration of cross functional processes within own area of expertise.
Oversee and/or independently perform tasks from end to end.
Generally, reports to a Senior / Manager role.

FAQs

What is the work location for the Data Scientist II position?

The work location for the Data Scientist II position is Toronto, Ontario, Canada.

What are the working hours for this role?

The working hours for this role are 37.5 hours per week.

What is the salary range for the Data Scientist II position?

The salary range for the Data Scientist II position is $76,800 - $115,200 CAD.

What is the minimum experience required for this position?

A minimum of 2 years of experience with Python, SQL, and PySpark is required for this position.

What educational background is preferred for this role?

An undergraduate degree or advanced technical degree in fields such as math, physics, engineering, finance, or computer science is preferred for this role. A graduate degree is preferred with related project work experience.

Is experience in fraud or financial crimes considered an asset for this position?

Yes, experience in fraud or financial crimes is considered an asset for this position.

What types of programming languages and techniques are utilized in this role?

This role utilizes a wide range of programming languages, including Python, and techniques for data extraction, preparation, statistics, and advanced analytics.

Will training and onboarding be provided for new hires?

Yes, we will provide training and onboarding sessions to ensure that new hires have everything they need to succeed in their new role.

How does TD Bank support career development for employees?

TD Bank supports career development through regular conversations with managers, access to an online learning platform, and various mentoring programs.

Is TD Bank committed to diversity and inclusion?

Yes, TD Bank is committed to providing an inclusive environment and is a member of myGwork, the largest global platform for the LGBTQ+ business community.

myGwork - LGBTQ+ Business Community

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.