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Executive Data Science Jobs in Toronto, ON (NOW HIRING)

Data Scientist II

Toronto, ON · On-site

CA$81K - CA$115K/yr

... analytics, data science and/or consulting, ideally in an influencing or advisory capacity ... Excellent communication skills, with experience presenting insights to executive leaders and ...

Senior Data Scientist

Toronto, ON · On-site

CA$90K - CA$160K/yr

Follow coding standards, perform code reviews, and optimize data science workflows. Evaluation, interpretation, and communication of results to executive stakeholders. Technical Requirements:

Senior Data Scientist

Toronto, ON · On-site

CA$90K - CA$160K/yr

Follow coding standards, perform code reviews, and optimize data science workflows. Evaluation, interpretation, and communication of results to executive stakeholders. Technical Requirements:

... data science Partner with the CEO and executive team to identify new data products, partnerships, and revenue opportunities Data Quality & Governance Establish rigorous data validation ...

Data Scientist II

Toronto, ON · On-site

CA$81K - CA$115K/yr

The Wealth Operations Data Science team supports the day-to-day activities of the Wealth businesses ... Effective communication - ability to communicate findings with business partners and executives

Business Experience - * 7+ years of hands-on data science experience delivering models to ... Executive storytelling; ability to translate technical results into decisions and outcomes. Working ...

Business Experience - * 7+ years of hands-on data science experience delivering models to ... Executive storytelling; ability to translate technical results into decisions and outcomes. Working ...

Data Science and Analytics Are you an avid data analyst looking for an exciting career in the world ... executive presentations Ideal Candidate would have:University Degree in Engineering / Computer ...

Data Scientist II

Markham, ON · On-site

CA$81K - CA$115K/yr

Provide ad-hoc analysis to support decision-making at the executive level * Continually optimize ... In-depth knowledge of data science tools such as NumPy, pandas, matplotlib or R equivalent

Executive data storytelling and visualization * Data governance and stewardship * Insight-to-action and decision support * Predictive analytics, data science and AI orientation * Business ...

Showing results 21-40

Executive Data Science information

What is executive data science?

Executive Data Science refers to the leadership and management of data science initiatives within an organization. Professionals in this role are responsible for setting the strategic direction for data-driven projects, overseeing data teams, and ensuring that data science efforts align with business goals. They bridge the gap between technical teams and executives, translating analytical insights into actionable business strategies. Typically, Executive Data Scientists have a blend of technical expertise and strong business acumen, enabling them to make high-level decisions that impact the organization’s growth and innovation.

What skills and qualifications are needed to thrive as an executive data scientist?

To thrive as an Executive Data Scientist, you need deep expertise in statistics, machine learning, and data analysis, typically supported by an advanced degree in a quantitative field. Proficiency with data platforms (such as SQL, Hadoop, or Spark), programming languages (like Python or R), and familiarity with data visualization tools is essential, along with certifications like Certified Analytics Professional (CAP) being advantageous. Strategic vision, leadership, and the ability to communicate complex insights to non-technical stakeholders are vital soft skills. These competencies drive effective data-driven decision-making and ensure alignment between analytics initiatives and business objectives.

How does an executive data scientist typically collaborate with other departments to drive data-driven decision making?

Executive Data Scientists frequently work cross-functionally with departments such as marketing, product, finance, and operations to identify key business challenges and opportunities where data can provide strategic insights. They lead or advise interdisciplinary teams, translate complex analytics into actionable recommendations, and often present findings to senior leadership or stakeholders. Building strong relationships and understanding business objectives are crucial, as these collaborations enable the alignment of data science initiatives with organizational goals.

What is the difference between Executive Data Science vs Data Scientist?

AspectExecutive Data ScienceData Scientist
CredentialsAdvanced degrees (Master's/PhD), leadership experienceBachelor's or Master's in Data Science, Computer Science, or related fields
Work EnvironmentStrategic, leadership-focused, often in executive officesHands-on data analysis, modeling, coding in technical teams
Employer & Industry UsageSenior roles in tech, finance, consulting, and large organizationsTech companies, startups, research institutions, various industries

Executive Data Science roles focus on strategic decision-making, leadership, and overseeing data initiatives, while Data Scientists are primarily involved in technical data analysis and modeling. Both roles require strong analytical skills, but Executive Data Scientists combine technical expertise with leadership responsibilities.

What are the most commonly searched types of Data Science jobs in Toronto, ON?

The most popular types of Data Science jobs in Toronto, ON are:

What are popular job titles related to Executive Data Science jobs in Toronto, ON?

For Executive Data Science jobs in Toronto, ON, the most frequently searched job titles are:

What job categories do people searching Executive Data Science jobs in Toronto, ON look for?

The top searched job categories for Executive Data Science jobs in Toronto, ON are:

Infographic showing various Executive Data Science job openings in Toronto, ON as of August 2026, with employment types broken down into 1% As Needed, 85% Full Time, 11% Part Time, and 3% Contract. Highlights an 85% Physical, 5% Hybrid, and 10% Remote job distribution.

Corporate Audit - Full Stack Data Scientist, AVP

State Street Global Advisors

Toronto, ON • On-site

Full-time

This job post has expired 1 day ago. Applications are no longer accepted.


Job description

Who we are looking for

Corporate Audit Data Analytics and Innovation Team is vital to Corporate Audit and is the key enabler for our business to deliver data and risk and assurance insights to the Audit Department and Audit Stakeholders. We're driving Corporate Audit's digital transformation and expanding business capabilities using industry best practices and advanced technologies such as cloud, artificial intelligence, robotics process automation, and visualizations. We are looking for top technical talent to join our team and deliver creative technology solutions that help us become an end-to-end, next-generation Corporate Audit function.

The AVP, Full Stack Data Scientist is a hands-on role that will design and develop multiple solutions within the Data Analytics & Innovation Team's Center of Innovation. The candidate will utilize prior work experience in both the business and technical domains to provide dynamic assurance solutions. On a day-to-day basis, the job may entail working as a team to architect data-oriented solutions,enhancements to our reporting solutions, build sustainable operating model and/or interacting with our business partners to prioritize, gather requirements on future initiatives and deliver impactful data science/AI solutions. The individual will be required to have a proven track record of delivery of technically advanced solutions in support of multiple, simultaneous initiatives that span multiple disciplines and business lines. This individual should have the ability to quickly get a solid understanding of existing and future State Street business, application and infrastructure environment and be able to investigate and apply new methods of data analysis and visualizations.

Why this role is important to us?

As a member of State Street Corporation's Audit Division, you will be part of a team where collaboration is encouraged, excellence is rewarded, and diversity is valued. We offer flexible schedules, continuous training, global exposure and multiple opportunities for personal and professional growth. Our team of 300+ professionals is responsible for providing independent, objective assurance and advisory services designed to add value, minimize risk and improve the overall control environment of State Street Corporation and its subsidiaries. Our auditors interact and communicate regularly with executive management and have tremendous insight into all parts of the company's daily operations.

Join us if making your mark in the financial services industry from day one is a challenge you are up for!

Your new role

Within Corporate Audit, our Data Analytics and Innovation Team works collaboratively with our stakeholders to manage project delivery and lead all aspects of design and delivery of innovative solutions. Data Analytics team is integrated into the audit function and assists in leveraging data as an asset throughout the audit lifecycle.

As a Corporate Audit - Full Stack Data Scientist, you will:

  • Collaborate with multiple stakeholders to identify advanced analytics opportunities for Corporate Audit department and deliver impactful, innovative data products;
  • Work on Proof-of-Concept, design and develop tools/applications to support the assurance and automation objectives of the audit department;
  • Design interactive and user centric front-end interfaces, build new data pipelines and create/utilize ML/GenAI models. Provide scalable solutions that work with large datasets without impacting performance;
  • Develop, implement and document IT/model governance framework, procedures, aligned with industry wide best practices and bank wide policies/standards.
  • Act as a liaison between the Corporate Audit team and other departments, fostering collaboration and knowledge sharing related to advanced analytics, automation, and other innovation initiatives.

What qualifications and skills we value

Experience and education:

  • Bachelor's degree or higher in Math, Information Systems, Information Technology, Computer/Data Science or a related field is required;
  • 10 + years of experience with advanced Python(ML,NLP,AI) and SQL is required;
  • Experience and ability to integrate data with database environment is required and 2+ years hands on with front-end technologies is required;
  • Relevant work experience at a financial services company and/or experience working in Risk/Control function is a plus;
  • Experience with HTML, React, or visualization tools such as Tableau, PowerBI, etc is a plus.

Skills and competencies:

  • Exposure to Generative/Agentic Artificial Intelligence, Automation techniques, Natural Language Processing, Document Intelligence, Machine Learning is required;
  • Experience with cloud based analytic platforms such as Databricks, AWS, Azure, Snowflake is required;
  • Strong demonstrated skills in UI technologies, data science and data engineering;
  • Strong curious, analytical mindset, project management skills, ability to influence cross-functionally in a rapidly evolving business environment while managing multiple / concurrent projects;
  • Advanced command of English; strong written and verbal communication, presentation and technical writing skills.

About State Street:

What we do. State Street is one of the largest custodian banks, asset managers and asset intelligence companies in the world. From technology to product innovation, we're making our mark on the financial services industry. For more than two centuries, we've been helping our clients safeguard and steward the investments of millions of people. We provide investment servicing, data & analytics, investment research & trading and investment management to institutional clients.

Inclusion, Diversity and Social Responsibility. We truly believe our employees' diverse backgrounds, experiences and perspective are a powerful contributor to creating an inclusive environment where everyone can thrive and reach their maximum potential while adding value to both our organization and our clients. We warmly welcome the candidates of diverse origin, background, ability, age, sexual orientation, gender identity and personality. Another fundamental value at State Street is active engagement with our communities around the world, both as a partner and a leader. You will have tools to help balance your professional and personal life, paid volunteer days, matching gift program and access to employee networks that help you stay connected to what matters to you.

State Street is an equal opportunity and affirmative action employer.

Salary Range:

$91,000 - $140,500 Annual

The range quoted above applies to the role in the primary location specified. If the candidate would ultimately work outside of the primary location above, the applicable range could differ.

About State Street

Across the globe, institutional investors rely on us to help them manage risk, respond to challenges, and drive performance and profitability. We keep our clients at the heart of everything we do, and smart, engaged employees are essential to our continued success.

We are committed to fostering an environment where every employee feels valued and empowered to reach their full potential. As an essential partner in our shared success, you'll benefit from inclusive development opportunities, flexible work-life support, paid volunteer days, and vibrant employee networks that keep you connected to what matters most. Join us in shaping the future.

As an Equal Opportunity Employer, we consider all qualified applicants for all positions without regard to race, creed, color, religion, national origin, ancestry, ethnicity, age, disability, genetic information, sex, sexual orientation, gender identity or expression, citizenship, marital status, domestic partnership or civil union status, familial status, military and veteran status, and other characteristics protected by applicable law.

Discover more information on jobs at StateStreet.com/careers

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