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Manager Reddit Data Science Jobs in Ontario (NOW HIRING)

Data Scientist

Toronto, ON

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 ...

You will lead and deliver complex data science initiatives, guide experimentation with new AI ... Anticipate and proactively address peer review, governance, and model risk management ...

... Fraud Data Science team. In this role, you'll build and improve the models that power Stripe's fraud detection and loss management systems. You'll work closely with Fraud Engineering and Risk ...

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 ...

Strong interpersonal and relationship-management skills; * Strong active-listening skills and the ability to translate business needs into data science solutions; * Experience managing client ...

About the team Our Data Science team partners deeply with teams across Stripe to ensure that our ... key outcomes, managing liquidity, and quantifying risk exposure), how our go-to-market motions ...

... cost management, and cross-industry growth opportunities * Assist in creating executive ... Bachelor's degree in a relevant field, such as Engineering, Data Science, Statistics, Computer ...

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 ...

... viable data science solutions. * Use a wide range of programing languages (e.g. Python) and ... Actively manage relationships within and across various business lines, corporate and/or control ...

... Lead of Data Science working closely with leadership to align data strategies with business ... You will partner closely with Data Engineers, Product Managers, and Revenue leaders to embed ...

Strong relationship management, storytelling, and business communication skills for senior ... advanced analytics, data science, or applied AI/ML in domains such as financial services ...

... managing cloud-based solutions to ensure scalability, security, and performance. * Build and ... D. degree in Computer Science, Data Science, Statistics, Engineering, Physics, or a related ...

D. in Computer Science, Data Science, Statistics, Engineering, or a related field. * 5+ years of ... control management, build processes, testing, and operations. * Strong collaboration and ...

Showing results 21-40

Manager Reddit Data Science information

What does a manager Reddit Data Science do?

A Manager of Reddit Data Science leads a team of data scientists who analyze Reddit's vast user data to uncover insights, improve user experience, and guide business decisions. They oversee data projects, collaborate with engineering and product teams, and ensure the quality and impact of data-driven solutions. The manager is also responsible for mentoring team members, setting goals, and aligning data science efforts with Reddit's strategic objectives.

How does a manager Reddit Data Science typically collaborate with cross-functional teams to drive data-driven initiatives?

As a Manager of Reddit Data Science, you'll regularly collaborate with product managers, engineers, designers, and business stakeholders to ensure data insights inform key decisions. This involves translating complex analyses into actionable recommendations, leading data-driven experiments, and aligning team priorities with company objectives. You'll also mentor data scientists, foster a collaborative team culture, and facilitate communication between data science and other departments to ensure projects are impactful and aligned with overall strategy.

What are the key skills and qualifications needed to thrive as a manager Reddit Data Science, and why are they important?

To thrive as a Manager, Reddit Data Science, you need expertise in statistical analysis, machine learning, data visualization, and a solid background in computer science or a related field, often supported by an advanced degree. Familiarity with tools like Python, SQL, big data platforms (e.g., Spark), and data visualization software, as well as experience with experimentation frameworks, is typically required. Strong leadership, communication, and project management skills enable effective team guidance and stakeholder collaboration. These skills are crucial for extracting actionable insights from large datasets, leading data-driven projects, and aligning analytics initiatives with business goals.

What is the difference between Manager Reddit Data Science vs Data Scientist Reddit?

AspectManager Reddit Data ScienceData Scientist Reddit
Required CredentialsBachelor's or Master's in Data Science, Analytics, or related field; often leadership experienceBachelor's or Master's in Data Science, Statistics, Computer Science, or related field
Work EnvironmentLeads teams, manages projects, collaborates with stakeholdersAnalyzes data, develops models, reports findings
Employer & Industry UsageTech companies, online platforms, social media firmsTech, finance, healthcare, research organizations

The main difference is that a Manager Reddit Data Science oversees teams and projects, focusing on strategic leadership, while a Data Scientist Reddit primarily conducts data analysis and model development. Both roles require strong technical skills, but the manager role emphasizes leadership and project management.

What are the most commonly searched types of Reddit Data Science jobs in Ontario?

The most popular types of Reddit Data Science jobs in Ontario are:

What cities in Ontario are hiring for Manager Reddit Data Science jobs?

Cities in Ontario with the most Manager Reddit Data Science job openings:

Infographic showing various Manager Reddit Data Science job openings in Ontario as of July 2026, with employment types broken down into 1% As Needed, 83% Full Time, 13% Part Time, and 3% Contract. Highlights an 87% Physical, 3% Hybrid, and 10% Remote job distribution.

CA$68K - CA$100K/yr

Full-time

Posted 17 days ago


Job description

Why Meridian? 

At Meridian our aspiration is to integrate our purpose into everything we do for people, the planet, and communities. We believe that our greatest opportunity is to create opportunity and meet people where they are. 

Factor us into your next career opportunity. We want you to grow with us and have an experience that’s different. This is a place where you can expect the unexpected.  

Find our story here: About Meridian

The role: *Please note - this is a 12-month contract opportunity*

The Data Scientist will be a pivotal member of the Enterprise Data and Analytics Team, responsible for developing, and implementing advanced analytics and AI models. Leverage statistical techniques, machine learning, and data mining. This role involves building robust data models, and leveraging a suite of Microsoft and other AI and data technologies to ensure data solutions, accessibility, and usability across the organization.

Key Responsibilities:

AI Modeling & Documentation

  • Develop models to support AI and automation use cases across Meridian
  • Develop GenAI and LLM models. Get direction from and technical guidance from more senior members of the team
  • Work closely with data engineers, data analysts, and other stakeholders
  • Analyze large and complex, structured and unstructured data. Prepare AI-ready data models
  • Ensure the accuracy and reliability of data science models, conduct peer reviews of AI and other predictive models

AI and Data Science research and development

  • Research, code, develop and implement advanced analytics and AI models
  • Research and stay updated with the latest advancements in data science and AI technologies
  • Ensure AI models have proper documentation and model transparency and that they adhere to responsible AI framework
  • Collaboration: Work closely with data analysts, senior data scientists, and other stakeholders to understand and deliver on data requirements.
  • Help define AI and automation use cases and requirements as well as assessing technical feasibility

Knowledge, Skills, and Experience:

  • Experience with machine learning frameworks and data mining techniques, nice-to-have: cloud computing
  • Proficiency in a software programming languages, e.g., Python
  • Knowledge of programming languages such as Python or Java.
  • Nice-to-have:
    • Knowledge of SQL Server and T-SQL programming.
    • Experience with PowerBI for data visualization and reporting.
    • Familiarity with MS Fabric for data integration and management.
    • Proficiency in Microsoft Azure, including Azure Data Factory, Azure Databricks, and Azure Synapse Analytics.
    • Strong understanding of data warehousing concepts and best practices.
    • Experience in developing and managing ETL pipelines.
  • Strong analytical and problem-solving skills with the ability to interpret complex data sets.
  • Good verbal and written communication skills, with the ability to convey technical information to non-technical stakeholders.
  • 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 existing vacancy. Internal candidates are being considered as part of our standard process.

Salary Range: CAD $68,800- $100,000

Compensation for this role is based on a combination of skills, experience, and internal equity. Candidates with stronger alignment to the role’s requirements may be placed higher within the range. Your recruiter will share more information about our total rewards package during the hiring process.

Join us! This role is hybrid. Our offices are located at 3280 Bloor St W, Etobicoke, and 75 Corporate Park Dr, St. Catharines. Travel between these offices may be required, as well as occasional travel to branches. Meridian has a remote work policy that allows flexibility for employees to work remotely but also requires regular time in the office for purposeful meetings to collaborate, innovate and build effective relationships with your team, your colleagues and your leader which is very important to us.What's in it for you?
  • We have an inclusive and collaborative working environment that encourages creativity, curiosity, and celebrates success!
  • We provide you with the tools and technology needed to delight your candidates and clients!
  • You'll get to work with and learn from diverse industry leaders, who have hailed from top organizations around the world
  • Hybrid work arrangements with in-person office time to collaborate, innovate and build relationships with your colleagues
  • This isn't your typical "corporate" job. We work hard and we have fun!

Build the Future of Banking with Us 

At Meridian, we’re not just adapting to the future—we’re shaping it. We see talent as a catalyst for sustainable growth, community impact, and future-readiness. As the financial landscape evolves, we’re looking for team members who bring: 

  • Embedding & leveraging technology – Confidence and willingness to learn and integrate AI and emerging technologies into new ways of working.  Experience with low/no code tools like the Microsoft Power Platform and generative AI productivity tools like Microsoft Copilot is considered an asset 
  • Critical Thinking – The ability to analyze, evaluate and interpret information from various sources and apply logic and problem solving to make decisions.
  • Data Driven– Leverage data and insights to identify, prioritize and improve member experience and business efficiency. 
  • Curiosity & Flexibility – Comfortable navigating and embracing change and uncertainty, ask more questions, explore more options. Continuously learn and grow.
Our Commitment to YouMeridian is committed to promoting an inclusive, accessible environment, where all employees and customers feel valued, respected, and supported. We are dedicated to employing a workforce that reflects the diversity of our communities and Members in which we live and serve.Qualified applicants will receive consideration without regard to race, color, religion, sex, national origin, age, sexual orientation, gender identity, gender expression, or disability.We will ensure that individuals with disabilities are provided reasonable accommodation to participate in the job application or interview process, to perform essential job functions, and to receive other benefits and privileges of employment. Please contact us to request accommodation.Please note that due to the volume of applications, only those under consideration will be contacted for an interview.Thank you for your interest in Meridian Credit Union.Follow us on Twitter at@MeridianCareersConnect with us on LinkedIn

Meridian only posts jobs on our official Careers Site, LinkedIn, and Indeed. If you find a Meridian job posting on any other site, please verify it by ensuring it directs back to our official career page. Meridian never asks candidates to apply through thirdparty links that do not redirect to our Careers portal (UltiPro). For more tips on how to protect yourself from job scams visit Protect yourself from job scams | Meridian

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