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Behavioral Science Jobs in Toronto, ON (NOW HIRING)

Advanced degree in Statistics, Computer Science, Behavioral Science or Mathematics preferred. * 3+ years of experience analyzing product's data, building AI/ML algorithms or making product-focused ...

Advanced degree in Statistics, Computer science, Behavioural Science or Mathematics preferred * 3+ years of experience analyzing product's data, building AI/ML algorithms or making product focused ...

Strong analytical and quantitative background in statistics, mathematics, economics, engineering, behavioral science, data science, or related disciplines. * Demonstrated ability to operate ...

Conduct deep-dive analyses on user behavior patterns to uncover opportunities for product optimization Qualifications: * 10+ years of experience in data science , with at least 5 years in leadership ...

Conduct deep-dive analyses on user behavior patterns to uncover opportunities for product optimization Qualifications: * 10+ years of experience in data science , with at least 5 years in leadership ...

Consultant

Toronto, ON ยท Hybrid

The Consultant will collaborate with cross-functional teams across strategy, behavioral science, digital, data, and AI/ML to support work from strategy through market testing. What You'll Do * Gather ...

Rakuten Rewards is seeking a Director of Data Science to lead our centralized data science ... specific behaviors that make Rakuten unique and united across the world. We expect Rakuten ...

You will help uncover drivers of client behaviour, pain points, and moments that matter across the ... University/Post graduate degree in a relevant STEM discipline (Science, Technology, Engineering ...

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Behavioral Science information

See Toronto, ON salary details

$22.9K

$70.8K

$122.6K

How much do behavioral science jobs pay per year?

As of Jul 29, 2026, the average yearly pay for behavioral science in Toronto, ON is $70,845.00, according to ZipRecruiter salary data. Most workers in this role earn between $44,853.00 and $89,707.00 per year, depending on experience, location, and employer.

What can I do with behavioral science?

Behavioral science professionals analyze human behavior to develop strategies that influence decision-making, improve products, or promote positive habits. They work in fields such as marketing, healthcare, public policy, and organizational development, often using research methods like experiments and data analysis. Skills in psychology, statistics, and communication are essential for success in this field.

What can you do with a behavioral science degree?

A behavioral science degree prepares individuals for roles such as behavioral analyst, research associate, or consultant, focusing on understanding human behavior to improve decision-making, marketing, or policy. Graduates often work in healthcare, government, or private sectors, utilizing skills in data analysis, psychology, and research methods.

How do Behavioral Science professionals typically collaborate with other departments within an organization?

Behavioral Science professionals often work closely with teams such as marketing, human resources, product development, and data analytics to apply behavioral insights to real-world challenges. Collaboration can include designing experiments, interpreting data, and providing recommendations to improve user experiences or organizational outcomes. Regular meetings and cross-functional projects are common, requiring strong communication skills and the ability to translate complex behavioral concepts into actionable strategies. This collaborative environment fosters learning and provides opportunities for professionals to see the tangible impact of their work.

What is behavioral science?

Behavioral science is the study of how people make decisions, act, and interact with others. It draws from disciplines like psychology, sociology, and anthropology to understand human behavior and motivation. Professionals in this field use research and data analysis to understand patterns of behavior, which can help improve outcomes in areas such as health, business, education, and policy. Behavioral scientists often work to design interventions or policies that encourage positive behavioral changes.

What are the key skills and qualifications needed to thrive as a Behavioral Scientist, and why are they important?

To thrive as a Behavioral Scientist, you need a solid grounding in psychology, research methods, data analysis, and typically an advanced degree such as a master's or Ph.D. in behavioral science or a related field. Familiarity with statistical software like SPSS, R, or Python, and experience in survey design tools are commonly required. Strong critical thinking, communication skills, and the ability to collaborate across disciplines help Behavioral Scientists excel. These skills enable professionals to design effective studies, analyze human behavior accurately, and translate findings into actionable insights for organizations or policy.

What is the difference between Behavioral Science vs Data Analyst?

AspectBehavioral ScienceData Analyst
Required CredentialsDegree in psychology, sociology, or related fields; knowledge of research methodsDegree in statistics, mathematics, or related fields; proficiency in data analysis tools
Work EnvironmentResearch settings, consulting firms, or corporate teams focusing on human behaviorBusiness, finance, healthcare, or tech companies analyzing data trends
Employer & Industry UsageUsed by organizations aiming to understand and influence human behaviorUsed by organizations to interpret data and inform decision-making

While both roles involve analyzing information, Behavioral Scientists focus on understanding human behavior through research and psychological principles, whereas Data Analysts interpret data sets to support business decisions. Both careers require analytical skills but differ in their focus and application.

What jobs do behavioral scientists do?

Behavioral scientists analyze human behavior to develop insights that can improve products, services, and policies. They work in areas such as research, consulting, healthcare, marketing, and public policy, often using data analysis, experiments, and psychological theories to inform decision-making.
What are the most commonly searched types of Behavioral Science jobs in Toronto, ON? The most popular types of Behavioral Science jobs in Toronto, ON are:
Infographic showing various Behavioral Science job openings in Toronto, ON as of July 2026, with employment types broken down into 2% As Needed, 80% Full Time, 14% Part Time, and 4% Contract. Highlights an 94% Physical, 3% Hybrid, and 3% Remote job distribution, with an average salary of $70,845 per year, or $34.1 per hour.

Director & Global Head of HR Analytics and Data Office

Scotiabank

Toronto, ON โ€ข On-site

Other

Re-posted 12 days ago


Job description

Requisition ID: 258596
Join a purpose driven winning team, committed to results, in an inclusive and high-performing culture.

The Director & Global Head of HR Analytics and Data Office leads and oversees a team comprised of the global data office; analytics and insights; advanced analytics capabilities; reporting and visualization; and AI. This role is the primary contact for all matters related to Global Human Resources data and is the champion for advancing analytics capabilities, technologies, human capital insights and a culture of data literacy.

As the Global Human Resources Data leader, this position oversees the data office and manages the design, development and implementation of data strategies; data standards; data products; data procedures; data governance; and data security all in alignment with the Bank's data governance framework. This role is also accountable for developing and driving our advanced people analytics capabilities and to create data and analytics assets while advancing our behavioral science reach.

A key aspect of this role is to provide the experience and thought leadership to evolve our data strategy roadmap to achieve a consolidated and consistent global view of data across multiple systems and geographies. They will provide oversight and support for applied employee research, data mining, advanced analytics, and the development of predictive models to further our understanding of the workforce and improve employee experience.

This position is responsible for the production of all monthly, quarterly, annual, and ad-hoc human capital reporting requests and ensures the accuracy, comprehensiveness and timeliness of the data provided. Driving continuous improvement of self-serve and visualization capabilities is paramount in order to optimize user experience and adoption.ย  They will also provide subject matter expertise and point of view on how to advance our technology capabilities such as AI, machine learning, large language models, and cloud-based tools.

Is this role right for you? In this role, you will:

  • Lead the transformation of Global HR's data, analytics, reporting and visualization capabilities to improve data-driven decision making and accelerate insights at scale to help each line of business optimize human capital.
  • Drive applied employee research, data mining, analytical/statistical methodology, behavioral science and the development of predictive models to further our understanding of the workforce and enhance employee experience.
  • Lead advanced analytics to drive actionable insights to propel human capital decision making and build behavioral science capabilities to enhance employee understanding and awareness.
  • Partner closely with IT to develop data engineering pipelines, advance technology capabilities (i.e., software, infrastructure and data pipelines) to better leverage AI, machine learning and cloud-based tools.
  • Develop a programmatic approach to increase data literacy and adoption across Global Human Resources in order to enhance advice capabilities and to deliver impactful human capital insights for each line of business.
  • Manage the design, development and implementation of data strategies, data standards, data procedures, data governance and data security to support Global Human Resources and ensure alignment with the Bank's Data Governance Framework.
  • Establish data quality rules, standards and thresholds and ensure appropriate data quality monitoring practices are in place; lead the identification and root-cause analysis of data quality issues and support remediation efforts in a timely manner based on priority.
  • Develop teams and create a high performing culture that nurtures talent and helps bring to life our values of collaboration, growth, and respect.
  • Manage direct reports and the broader department to achieve organizational goals in accordance with company policies and practices.
  • Create an effective work environment by developing a common vision, setting clear objectives, expecting teamwork, recognizing outstanding performance, maintaining open communications and encourage high level of engagement across the team.
  • Build a high-performance environment and implements a people strategy that attracts, retains, develops and motivates their team by fostering an inclusive work environment and using a coaching mindset and behaviors; communicating vison/values/business strategy; and, managing succession and development planning for the team.
  • Create an environment in which the team pursues effective and efficient operations of the respective areas in accordance with Scotiabank's Values and Code of Conduct, while ensuring the adequacy, adherence to and effectiveness of day-to-day business controls to meet obligations.

Do you have the skills that will enable you to succeed? We'd love to work with you if you have:

  • Post-Secondary degree in a quantitative /computer science /data & analytics field.ย  Relevant Master's Degree is desirable. A minimum of seven or more years of progressive, relevant and practical experience in people analytics and data management; a proven track record of success in analytical reporting and the implementation/management of supporting technology systems.
  • Expert understanding of data management structure, big data, business requirements, analytics, reporting delivery - incl Enterprise Data Lake, database management & technology reporting tools (PowerBI) and coding languages.
  • Experienced in leading applied employee research and knowledge of behavioral science and industrial/organizational psychology.
  • Excellent knowledge of Statistics (SAS, SPSS), Data Mining (MS SQL), Business Intelligence and Office Automation software packages including good knowledge of computer languages.
  • Strong project management skills with a proven ability to work independently and proactively to drive data management and analytics efforts.
  • Leadership and communication skills required to manage, prioritize and execute diverse activities and projects concurrently.ย  Also, collaborative leadership skills to drive people development and strong team growth.
  • Integrity, high attention to detail, thoroughness, and accuracy are critical to ensure quality outputs. Solid organizational interpersonal and communication skills and be able to direct varied activities within tight time frames.
  • Excellent interpersonal and communication skills are essential in dealing with many senior internal and external parties, as well as preparing reports for Executive Management.

Location(s): ย Canada : Ontario : Torontoย 
Scotiabank is a leading bank in the Americas. Guided by our purpose: "for every future", we help our customers, their families and their communities achieve success through a broad range of advice, products and services, including personal and commercial banking, wealth management and private banking, corporate and investment banking, and capital markets.ย ย 
At Scotiabank, we value the unique skills and experiences each individual brings to the Bank, and are committed to creating and maintaining an inclusive and accessible environment for everyone. If you require accommodation (including, but not limited to, an accessible interview site, alternate format documents, ASL Interpreter, or Assistive Technology) during the recruitment and selection process, please let our Recruitment team know. If you require technical assistance, please click here. Candidates must apply directly online to be considered for this role. We thank all applicants for their interest in a career at Scotiabank; however, only those candidates who are selected for an interview will be contacted.