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 ...
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 ...
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 ...
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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 ...
... data science capabilities ... This role goes beyond traditional analytics-you'll be responsible for building the ML and ...
... data science capabilities ... This role goes beyond traditional analytics-you'll be responsible for building the ML and ...
Data Science & Analytics is at the heart of Lyft's products and decision-making. The Rider Experience team sits at the center of how millions of riders discover, choose, and return to Lyft. We are ...
Data Science & Analytics is at the heart of Lyft's products and decision-making. The Rider Experience team sits at the center of how millions of riders discover, choose, and return to Lyft. We are ...
... data science capabilities ... This role goes beyond traditional analytics--you'll be responsible for building the ML and ...
Quick apply
... data science capabilities ... This role goes beyond traditional analytics--you'll be responsible for building the ML and ...
This role combines data science, analytics engineering, digital measurement, cloud data architecture, and stakeholder consulting to deliver scalable analytics solutions across web, media, and ...
This role combines data science, analytics engineering, digital measurement, cloud data architecture, and stakeholder consulting to deliver scalable analytics solutions across web, media, and ...
This role combines data science, analytics engineering, digital measurement, cloud data architecture, and stakeholder consulting to deliver scalable analytics solutions across web, media, and ...
This role combines data science, analytics engineering, digital measurement, cloud data architecture, and stakeholder consulting to deliver scalable analytics solutions across web, media, and ...
Job Details Data Science Specialist Exempt Level 3: $87,762- $105,316 Vision The Toronto Catholic ... Support reproducible analytics workflows using SQL and R * Assist with data preparation for ...
Job Details Data Science Specialist Exempt Level 3: $87,762- $105,316 Vision The Toronto Catholic ... Support reproducible analytics workflows using SQL and R * Assist with data preparation for ...
Data Scientist I
Toronto, ON · On-site
CA$69K - CA$98K/yr
Familiarity with data science concepts, statistical analysis, data wrangling, and exploratory data analysis. * Experience with data visualization and dashboard development using Power BI and/or ...
Data Scientist I
Toronto, ON · On-site
CA$69K - CA$98K/yr
Familiarity with data science concepts, statistical analysis, data wrangling, and exploratory data analysis. * Experience with data visualization and dashboard development using Power BI and/or ...
Support experimentation by defining success metrics, analyzing lift, and interpreting results to ... Strong proficiency in Python or similar data science tools, including feature engineering and model ...
Support experimentation by defining success metrics, analyzing lift, and interpreting results to ... Strong proficiency in Python or similar data science tools, including feature engineering and model ...
... of data science experience in supply chain • MS or PhD in relevant technical fields • ... analytics. #J-18808-Ljbffr
New
... of data science experience in supply chain • MS or PhD in relevant technical fields • ... analytics. #J-18808-Ljbffr
New
Title and Summary Director, Data Science Overview The Security Solutions Data Science team is ... and analytical systems using modern data and cloud platforms such as Databricks and Sparks.
Title and Summary Director, Data Science Overview The Security Solutions Data Science team is ... and analytical systems using modern data and cloud platforms such as Databricks and Sparks.
Data Scientist
Toronto, ON · On-site
Deliver measurable business impact - Own 1-2 end-to-end data science projects, from problem framing and analysis through implementation, measurement, and iteration. * Use data to solve business ...
Data Scientist
Toronto, ON · On-site
Deliver measurable business impact - Own 1-2 end-to-end data science projects, from problem framing and analysis through implementation, measurement, and iteration. * Use data to solve business ...
The role sits at the intersection of marketing strategy, banking economics, data, and analytics ... Marketing Optimization & Decision Science : Develop analytical frameworks and recommendations to ...
The role sits at the intersection of marketing strategy, banking economics, data, and analytics ... Marketing Optimization & Decision Science : Develop analytical frameworks and recommendations to ...
Utilize advanced statistical techniques and data science algorithms to analyze large datasets and derive actionable insights related to Pricing Optimization. * Develop and implement predictive models ...
Utilize advanced statistical techniques and data science algorithms to analyze large datasets and derive actionable insights related to Pricing Optimization. * Develop and implement predictive models ...
Tiger Analytics is a fast-growing advanced analytics consulting firm. Our consultants bring deep expertise in Data Science, Machine Learning and AI. We are the trusted analytics partner for several ...
Tiger Analytics is a fast-growing advanced analytics consulting firm. Our consultants bring deep expertise in Data Science, Machine Learning and AI. We are the trusted analytics partner for several ...
Must have * 3-5+ years of experience in data science, analytics, or IT roles within finance, insurance, or actuarial domains. * Expertisein data modeling, ETL/ELT, and database design (e.g., SQL ...
Must have * 3-5+ years of experience in data science, analytics, or IT roles within finance, insurance, or actuarial domains. * Expertisein data modeling, ETL/ELT, and database design (e.g., SQL ...
What You'll Be Doing The Manager, Data Science and Analytics is responsible for providing analytics support to Business Lines and Finance team. This involves working with multiple stakeholders on ...
What You'll Be Doing The Manager, Data Science and Analytics is responsible for providing analytics support to Business Lines and Finance team. This involves working with multiple stakeholders on ...
What You'll Be Doing The Manager, Data Science and Analytics is responsible for providing analytics support to Business Lines and Finance team. This involves working with multiple stakeholders on ...
What You'll Be Doing The Manager, Data Science and Analytics is responsible for providing analytics support to Business Lines and Finance team. This involves working with multiple stakeholders on ...
We are seeking a proven leader with extensive experience in data science and analytics. In this role, you'll drive strategic insights, analyze customer trust metrics, and apply machine learning to ...
New
We are seeking a proven leader with extensive experience in data science and analytics. In this role, you'll drive strategic insights, analyze customer trust metrics, and apply machine learning to ...
New
Data Science And Analytics information
Is data science and analytics still in demand?
Data science and analytics roles remain highly in demand across various industries due to the increasing reliance on data-driven decision making. Professionals with skills in programming, statistical analysis, and tools like Python, R, or SQL are sought after, and the field continues to grow as organizations prioritize data insights for competitive advantage.
What jobs can I get with a data science and analytics degree?
A degree in data science and analytics can lead to roles such as data analyst, data scientist, business intelligence analyst, machine learning engineer, and data engineer. These positions typically require skills in programming languages like Python or R, statistical analysis, and data visualization tools, and often involve working with large datasets to inform business decisions.
What can I do with data science and analytics?
Data science and analytics professionals analyze large datasets to extract insights, support decision-making, and improve business processes. They use tools like Python, R, and SQL, and often work in environments that require strong statistical and programming skills. These roles can lead to careers in industries such as finance, healthcare, marketing, and technology.
What are the key skills and qualifications needed to thrive as a data science and analytics professional, and why are they important?
To thrive in Data Science and Analytics, you need strong skills in statistics, data manipulation, and programming, typically backed by a degree in computer science, mathematics, or a related field. Proficiency with tools like Python, R, SQL, and data visualization platforms such as Tableau, along with knowledge of machine learning frameworks, is highly valued. Strong problem-solving ability, critical thinking, and effective communication skills help translate complex data findings into actionable business insights. These skills are crucial for turning raw data into strategic decisions that drive organizational success.
What is data science and analytics?
Data Science and Analytics refer to the fields that focus on extracting meaningful insights from large and complex data sets. Data Science combines statistics, computer science, and domain knowledge to analyze data, build predictive models, and support data-driven decision-making. Analytics, which is a core part of data science, involves examining data to discover trends, patterns, and correlations that can help organizations solve problems or improve processes. Professionals in these fields use tools such as Python, R, SQL, and machine learning algorithms to analyze data and communicate findings to stakeholders.
What is the difference between Data Science And Analytics vs Data Analysis?
| Aspect | Data Science And Analytics | Data Analysis |
|---|---|---|
| Required Skills | Statistical modeling, programming, machine learning | Data cleaning, descriptive statistics, visualization |
| Work Environment | Cross-functional teams, R&D, predictive modeling | Business reporting, dashboards, ad hoc analysis |
| Tools & Technologies | Python, R, SQL, Hadoop, Spark | Excel, SQL, Tableau, Power BI |
| Industry Usage | Tech, finance, healthcare, marketing | Retail, finance, healthcare, operations |
Data Science And Analytics involves advanced techniques like machine learning and predictive modeling, often requiring programming skills. Data Analysis focuses on interpreting existing data through descriptive statistics and visualization for decision-making. Both roles are essential but differ in complexity and scope.
What are some common challenges faced by data science and analytics professionals when working with cross-functional teams?
Data science and analytics professionals often collaborate with colleagues from diverse backgrounds such as engineering, marketing, and business operations. One common challenge is translating complex analytical findings into actionable insights that non-technical stakeholders can easily understand. Additionally, aligning project objectives and timelines across teams can require strong communication and project management skills. Overcoming these challenges is essential for ensuring that data-driven solutions are effectively implemented and contribute to organizational goals.
What cities in Ontario are hiring for Data Science And Analytics jobs? Cities in Ontario with the most Data Science And Analytics job openings:
Full-time
Medical, Dental, Vision
Re-posted 13 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.