About the Role We are creating a new Head of Data Science & Analytics role to build and lead the ... Ideal Candidate Profile The ideal candidate is a builder, not just a manager. They have the ...
About the Role We are creating a new Head of Data Science & Analytics role to build and lead the ... Ideal Candidate Profile The ideal candidate is a builder, not just a manager. They have the ...
About the Role We are creating a new Head of Data Science & Analytics role to build and lead the ... Ideal Candidate Profile The ideal candidate is a builder, not just a manager. They have the ...
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About the Role We are creating a new Head of Data Science & Analytics role to build and lead the ... Ideal Candidate Profile The ideal candidate is a builder, not just a manager. They have the ...
... of Data Scientists, including hiring, mentorship, and performance management Build a strong team ... culture focused on collaboration, accountability, and continuous learning Guide the design of ...
... of Data Scientists, including hiring, mentorship, and performance management Build a strong team ... culture focused on collaboration, accountability, and continuous learning Guide the design of ...
Manager, Data Science (Askuity division)
Toronto, ON · On-site
CA$160K - CA$190K/yr
As a Manager, Data Science you will lead the development and integration of AI-enabled capabilities ... In this role, you will lead a team of data scientists and collaborate with cross-functional ...
Manager, Data Science (Askuity division)
Toronto, ON · On-site
CA$160K - CA$190K/yr
As a Manager, Data Science you will lead the development and integration of AI-enabled capabilities ... In this role, you will lead a team of data scientists and collaborate with cross-functional ...
The Rider Experience team sits at the center of how millions of riders discover, choose, and return to Lyft. We are hiring a Data Science Manager to lead our Toronto-based science & analytics team ...
The Rider Experience team sits at the center of how millions of riders discover, choose, and return to Lyft. We are hiring a Data Science Manager to lead our Toronto-based science & analytics team ...
... and data science Partner with the CEO and executive team to identify new data products ... management, data engineering, or analytics leadership roles, with at least 5 years in a senior ...
... and data science Partner with the CEO and executive team to identify new data products ... management, data engineering, or analytics leadership roles, with at least 5 years in a senior ...
Data Scientist II
Toronto, ON · On-site
... research and development of scalable end-to-end data science capabilities covering the full ... managing fraud and risk, enhancing cybersecurity, and improving the digital payments experience.
Data Scientist II
Toronto, ON · On-site
... research and development of scalable end-to-end data science capabilities covering the full ... managing fraud and risk, enhancing cybersecurity, and improving the digital payments experience.
Data Scientist
Woodbridge, ON · On-site
CA$85K - CA$115K/yr
... of Data Science and other key stakeholders in bringing actionable data driven solutions to 407 ETR. This job involves model design, data management, data queries, and providing input into programs ...
Data Scientist
Woodbridge, ON · On-site
CA$85K - CA$115K/yr
... of Data Science and other key stakeholders in bringing actionable data driven solutions to 407 ETR. This job involves model design, data management, data queries, and providing input into programs ...
Manager, Data Science
Toronto, ON · Hybrid
What You'll Be Doing The Manager, Data Science is responsible for providing analytics support to ... Use your knowledge of cash management, credit, investment, and wealth protection to help clients ...
Manager, Data Science
Toronto, ON · Hybrid
What You'll Be Doing The Manager, Data Science is responsible for providing analytics support to ... Use your knowledge of cash management, credit, investment, and wealth protection to help clients ...
Manager, Data Science
Toronto, ON · Hybrid
What You'll Be Doing The Manager, Data Science is responsible for providing analytics support to ... Use your knowledge of cash management, credit, investment, and wealth protection to help clients ...
Manager, Data Science
Toronto, ON · Hybrid
What You'll Be Doing The Manager, Data Science is responsible for providing analytics support to ... Use your knowledge of cash management, credit, investment, and wealth protection to help clients ...
Director, Data Scientist
Toronto, ON · Hybrid
The Mastercard Security Solutions Data Science team is seeking a Director of Data Science to lead ... Strong stakeholder management skills, with proven ability to work effectively across Product and ...
Director, Data Scientist
Toronto, ON · Hybrid
The Mastercard Security Solutions Data Science team is seeking a Director of Data Science to lead ... Strong stakeholder management skills, with proven ability to work effectively across Product and ...
Senior Data Scientist
Woodbridge, ON · On-site
CA$120K - CA$165K/yr
Raise awareness and action of data science within the company to help focus on fact-based decisions. * Support the Department along with the Information Technology Management Department in planning ...
Senior Data Scientist
Woodbridge, ON · On-site
CA$120K - CA$165K/yr
Raise awareness and action of data science within the company to help focus on fact-based decisions. * Support the Department along with the Information Technology Management Department in planning ...
... years of experience in data science , with at least 5 years in leadership roles managing data scientists or ML engineers * Proven track record building and deploying ML models in production ...
... years of experience in data science , with at least 5 years in leadership roles managing data scientists or ML engineers * Proven track record building and deploying ML models in production ...
We have been named Consumer Lender of the Year by the Canadian Lenders Association and FinTech ... Data Science Manager, Risk to build and operationalize the models, data pipelines, and analytical ...
We have been named Consumer Lender of the Year by the Canadian Lenders Association and FinTech ... Data Science Manager, Risk to build and operationalize the models, data pipelines, and analytical ...
Data Scientist
CA$68K - CA$100K/yr
Ability to work collaboratively in a team environment and manage multiple priorities. * Experience: 2-4 years of experience in data science and Microsoft technologies. This role represents an ...
Data Scientist
CA$68K - CA$100K/yr
Ability to work collaboratively in a team environment and manage multiple priorities. * Experience: 2-4 years of experience in data science and Microsoft technologies. This role represents an ...
... years of experience in data science , with at least 5 years in leadership roles managing data scientists or ML engineers * Proven track record building and deploying ML models in production ...
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... years of experience in data science , with at least 5 years in leadership roles managing data scientists or ML engineers * Proven track record building and deploying ML models in production ...
Senior Manager, Data Science
Toronto, ON · On-site
We're driven by what's possible, leveraging the power of data and technology to empower innovative ... About the Role As a Senior Data Science Manager at Capital One, you'll be leading the next wave of ...
Senior Manager, Data Science
Toronto, ON · On-site
We're driven by what's possible, leveraging the power of data and technology to empower innovative ... About the Role As a Senior Data Science Manager at Capital One, you'll be leading the next wave of ...
Owning the full Data Science life cycle from ideation to production. * Strong understanding of ... Here, you will manage, influence, play, create, fix, and shape the industry. Location :Burlington ...
Owning the full Data Science life cycle from ideation to production. * Strong understanding of ... Here, you will manage, influence, play, create, fix, and shape the industry. Location :Burlington ...
Stay abreast of industry trends and best practices in data science, replenishment optimization, and supply chain management, and leverage this knowledge to drive innovation within the organization.
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Stay abreast of industry trends and best practices in data science, replenishment optimization, and supply chain management, and leverage this knowledge to drive innovation within the organization.
Stay abreast of industry trends and best practices in data science, replenishment optimization, and supply chain management, and leverage this knowledge to drive innovation within the organization.
Stay abreast of industry trends and best practices in data science, replenishment optimization, and supply chain management, and leverage this knowledge to drive innovation within the organization.
Manager Of Data Science information
What is a manager of data science?
A Manager of Data Science is a leadership role responsible for overseeing a team of data scientists and analysts, guiding data-driven projects, and ensuring that business objectives are met through data analysis and modeling. They collaborate with stakeholders to identify business needs, design analytical solutions, and manage the end-to-end process of extracting insights from large datasets. In addition to technical expertise, this role requires strong leadership, project management, and communication skills to translate complex findings into actionable strategies.
How does a manager of data science typically balance hands-on technical work with team leadership responsibilities?
A Manager of Data Science often divides their time between overseeing project execution and supporting their team's professional growth. While they may still participate in high-level technical decision-making and occasionally contribute to code or modeling, much of their focus shifts to setting strategic direction, mentoring team members, and facilitating cross-functional collaboration. They are responsible for ensuring that projects align with business goals, providing technical guidance, and creating an environment where data scientists can thrive. Effective managers also spend time communicating with stakeholders to translate business needs into actionable data projects.
What are the key skills and qualifications needed to thrive as a manager of data science, and why are they important?
To thrive as a Manager of Data Science, you need advanced expertise in data analytics, machine learning, and statistical modeling, typically backed by a degree in a quantitative field and prior experience in data science roles. Familiarity with tools like Python, R, SQL, cloud platforms (e.g., AWS, Azure), and project management systems is essential, and certifications such as Certified Analytics Professional (CAP) can be valuable. Strong leadership, communication, and problem-solving skills help in guiding teams, translating business needs into data solutions, and fostering collaboration. These skills and qualities are crucial for delivering actionable insights, driving innovation, and ensuring successful data-driven strategies in complex organizational environments.
What is the difference between Manager Of Data Science vs Data Scientist?
| Aspect | Manager Of Data Science | Data Scientist |
|---|---|---|
| Required Credentials | Bachelor's or Master's in Data Science, Statistics, or related field; often leadership experience | Bachelor's or Master's in Data Science, Statistics, or related field; strong technical skills |
| Work Environment | Oversees teams, manages projects, collaborates with stakeholders | Focuses on data analysis, model development, and technical problem-solving |
| Employer & Industry Usage | Used in organizations with data teams, analytics departments | Commonly employed in tech, finance, healthcare, and research sectors |
The main difference between a Manager Of Data Science and a Data Scientist is the level of responsibility. Managers oversee teams and strategic initiatives, while Data Scientists focus on technical data analysis and model building. Both roles require strong analytical skills, but the Manager role emphasizes leadership and project management.
Full-time
Medical, Dental, Vision
Re-posted 26 days ago
Job description
About Big Viking Games
Big Viking Games is a Canadian gaming company focused on building, operating, and growing engaging online game experiences. Our teams work across product, technology, live operations, monetization, player experience, and content to create games and communities that last.
We are entering a new phase of growth and modernization, with a focus on stronger data visibility, better decision-making, improved operational discipline, and practical adoption of AI across the business.
This is a hybrid role with three (3) days in office.
About the Role
We are creating a new Head of Data Science & Analytics role to build and lead the data function across Big Viking Games. This is a hands-on leadership role for someone who can operate strategically, but also roll up their sleeves and personally build the analytics foundation.
The right person will be comfortable working as a solo operator at first, owning the work directly before building out the team over time. This role will be responsible for transforming raw data into actionable insights that improve decision-making across product, live operations, monetization, marketing, finance, player experience, and executive leadership.
We are also looking for someone who understands how modern AI can materially improve analytics, workflows, reporting, automation, and productivity. Experience implementing AI tools, agentic workflows, copilots, or automation systems will be highly valued.
This is a newly-created role with significant opportunity to shape the data strategy, operating model, tooling, reporting structure, and future team.
Responsibilities
Build and own the company's data science and analytics function from the ground up.
Partner with executive leadership, product, live operations, marketing, finance, and technology teams to turn business questions into clear insights, recommendations, and action plans.
Develop the core analytics roadmap across player behavior, retention, engagement, monetization, game health, content performance, live operations, user segmentation, forecasting, and business performance.
Personally perform hands-on analysis, including SQL querying, dashboarding, data modeling, KPI development, reporting, statistical analysis, and business case development.
Improve the quality, consistency, and reliability of company metrics, reporting, and data definitions.
Identify gaps in data collection, instrumentation, data architecture, reporting, and operational visibility.
Partner with engineering and data stakeholders to improve data pipelines, data quality, data governance, and access to trusted datasets.
Design dashboards and executive reporting that help leaders understand what is happening, why it is happening, and what should be done next.
Lead analysis on player lifecycle, cohort behavior, monetization trends, feature performance, content performance, game economy, and live-service operations.
Support experimentation, A/B testing, measurement frameworks, and decision-ready analysis for product and business initiatives.
Implement practical AI-driven solutions to accelerate analytics workflows, automate repetitive reporting, improve insight generation, and support better business decisions.
Explore and deploy AI agents, copilots, workflow automations, and other tools that improve productivity across analytics, operations, product, and leadership reporting.
Establish best practices for responsible AI use, data privacy, analytical rigor, documentation, and repeatable workflows.
Over time, hire, coach, and lead a high-performing data science, analytics, and/or BI team.
Requirements
Qualifications
8+ years of experience in data science, analytics, business intelligence, product analytics, or a related data discipline.
Experience operating in a gaming, digital product, SaaS, consumer technology, marketplace, or live-service environment.
Strong hands-on analytical skills, including advanced SQL and experience with Python, R, or similar analytical tools.
Proven ability to translate ambiguous business problems into structured analysis, clear recommendations, and executive-level narratives.
Experience building dashboards, reports, KPI frameworks, and decision-support tools for senior leadership.
Strong understanding of product analytics, user behavior, retention, engagement, monetization, segmentation, cohort analysis, forecasting, and experimentation.
Experience working with data engineering, product, finance, marketing, and executive teams.
Experience implementing or adopting AI tools, GenAI, copilots, agentic workflows, workflow automation, or AI-enabled analytics processes.
Ability to operate independently in a hands-on capacity before a larger team is built.
Strong communication skills, with the ability to explain complex analysis in clear business language.
Demonstrated ability to build structure in an environment where data, processes, tooling, or reporting may still be maturing.
Nice to Haves
Experience with Snowflake or similar modern cloud data platforms.
Experience with gaming analytics, live-service games, virtual economies, content performance, player segmentation, in-game monetization, or player lifecycle analytics.
Experience with BI tools such as Looker, Tableau, Power BI, Sigma, Mode, Metabase, or similar platforms.
Experience with dbt, data modeling, data governance, experimentation platforms, or modern analytics engineering practices.
Experience building AI agents or automated workflows using tools such as ChatGPT, Claude, LangChain, Zapier, Make, n8n, Retool, or internal workflow automation tools.
Experience building a data function, hiring analysts, or scaling a small data team.
Ideal Candidate Profile
The ideal candidate is a builder, not just a manager. They have the seniority to set strategy and influence executives, but the humility and capability to do the work themselves. They are commercially minded, technically credible, and comfortable working in an environment where they may need to create structure from ambiguity.
They understand that analytics is not just reporting. It is a decision-making function. They can identify what matters, build the systems to measure it, explain what the data means, and help the business act on it.
They are also forward-looking in how they use AI. They should be able to bring practical, usable AI adoption into the company, not just talk about it conceptually.
Benefits
CompensationThe expected compensation range for this role is based on experience, qualifications, and overall fit.
BenefitsComprehensive benefits package (health, dental, and vision) including HSA/WSA spending account from Day 1
Participation in the Employee Stock Option Plan (ESOP)
RRSP participation and matching
15 Vacation Days + 10 Wellness Days
Big Viking Games is committed to creating an inclusive and accessible environment for all candidates. We welcome applications from individuals of all abilities and will provide accommodations throughout the hiring process as needed. If you require any accommodations, please email hr@bigvikinggames.com so we can work with you to support your needs.