Data Scientist II

myGwork - LGBTQ+ Business Community

26d ago

Job
Full-time
Mid Level
Data
IT & Cybersecurity
Toronto

AI generated summary

You should have an undergrad/grad degree in a technical field or 3+ years of experience, proficiency in Python, PySpark, SQL, and knowledge of Data Bricks, Cloud Computing, ADL, ADF.
You will analyze data, develop insights, collaborate across teams, visualize findings, identify business opportunities, and drive process improvements to support strategic decision-making.

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.
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

Responsible for collecting data and using wide range of data science techniques, including but not limited to data wrangling, profiling and visualization, statistical inference, to uncover actionable insights or build analytics solutions that guide decision making and strategic planning
Develop and understand business drivers, definitions, and metrics to interpret findings, take-action, and provide meaningful business direction
Maintain relationships with various business partners including Product, Marketing, Daas, and Technology
Proactively identify key business opportunities, research, and recommend enhancements / modifications to better serve our customers
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
Excellent problem-solving skills and the ability to work independently and as part of a team
Excellent oral and written skills, and demonstrated ability to digest complex information and summarize in a clear, concise fashion (for executive-level consumption)
Very strong comfortability in accessing large data sources, performing mining, extractions and manipulations to uncover relevant data findings and big-picture stories
Strong analytically-anchored problem-solving skills - a logical and strategic thinker with strong critical reasoning skills, proactively identifies risks and issues, recommends solutions, challenges the status quo
Agile, adaptable, "can-do" attitude, high degree of responsiveness and initiative
Enthusiastic and focused self-starter who can work with minimal supervision to strict deadlines and is able to prioritize, multitask, and manage various projects simultaneously
Demonstrated passionate analytical thinker with track record of delivering business impact and results through developing and executing on innovative analytics solutions
Strong problem-solving skills, with a history of using data to understand not only what is happening, but why it is happening, and what can be done to resolve the issue
Capable of working in and across teams, leading partners and aligning leadership - including proven teamwork and ability to build deep relationships with diverse business partners
Strong organizational skills, with the ability to excel in a fast-paced environment and run multiple deadlines and priorities

FAQs

What is the job title for this position?

The job title is Data Scientist II.

Where will the job be located?

The job will be located in Toronto, Ontario, Canada.

What are the working hours for this position?

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

What is the salary range for this role?

The salary range for this role is $76,800 - $115,200 CAD.

What team will I be working with?

You will be part of the Personalization and Intelligent Decisioning team, which focuses on providing key insights and opportunities for business partners.

What types of skills are required for this role?

The required skills include proficiency in programming languages such as Python, PySpark, and SQL, as well as knowledge of data analysis techniques and data visualization.

How many years of experience are required for this position?

A minimum of 3 years of relevant experience is required.

Does TD Bank value diversity and inclusion in its hiring process?

Yes, TD Bank is an inclusive employer committed to diversity and inclusion.

What kind of training and development opportunities does TD Bank offer?

TD Bank offers regular leadership and development conversations, mentorship, training programs, and access to an online learning platform.

Will I be working independently or as part of a team?

You will be working as part of a team but also expected to work autonomously on complex projects.

Are there opportunities for career advancement in this role?

Yes, TD Bank emphasizes growth opportunities and skill development for its employees.

Is there a focus on understanding the business context in this role?

Yes, understanding the business context and data infrastructure is critical for translating business problems into viable data science solutions.

Will I have the chance to collaborate with other departments?

Yes, collaboration with various business partners, including Product, Marketing, Data Analytics & Strategy (Daas), and Technology, is a key aspect of the role.

How does the company support employee well-being?

TD Bank provides a Total Rewards package that includes health and well-being benefits, retirement programs, and paid time off to support employee well-being.

What is the interview process like for this position?

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

Is there a possibility for continuous improvement in this role?

Yes, the role involves actively seeking opportunities for continuous process and performance improvements.

Will accommodations be made during the interview process?

Yes, TD Bank welcomes candidates to request accommodations (including accessible meeting rooms, captioning for virtual interviews, etc.) to remove barriers during the interview process.

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.