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Senior Data Science Manager Jobs in Edmonton, AB

We are looking for an experienced Senior Data Scientist for our client. This is a permanent ... in Data Engineering/Data Science utilizing R (purrr, tidyr, dplyr, tibble, & the tidyverse)

We are looking for an experienced Senior Data Scientist for our client. This is a permanent ... in Data Engineering/Data Science utilizing R (purrr, tidyr, dplyr, tibble, & the tidyverse)

... management specialists that bring clarity to a changing world with tailored solutions and ... As the discipline of data science continues to converge with AI engineering, we want someone who ...

Degree or diploma in Data Science, Computer Programming, Mathematics, Statistics, Engineering, or a ... Understanding of asset integrity management, risk-based inspection principles, and integrity ...

... information-management requirements. Strong Advantage: Experience with JOIN/JIMS, court/justice data, judicial processes, Public Sector, or related government justice-sector environments. This ...

Bachelors or Diploma in Computer Science, Database Management, Data Programming, Information Systems, Data Engineering, Data Analytics, or other IT-related degree; * Strong database proficiency (e.g ...

In collaboration with the Data Science team, you will ensure that models are deployed seamlessly ... Experience with MLflow for experiment tracking and model management, and Airflow or Dagster for ...

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Senior Data Science Manager information

What does a senior data science manager do?

A Senior Data Science Manager leads a team of data scientists to develop analytical solutions that drive business decisions and strategy. They oversee the end-to-end process of data collection, model development, and deployment, ensuring projects align with organizational goals. Additionally, they mentor team members, collaborate with stakeholders across departments, and help set the vision for data-driven initiatives. Their role requires both technical expertise and strong leadership skills.

How does a senior data science manager typically collaborate with cross-functional teams to drive business outcomes?

A Senior Data Science Manager often works closely with stakeholders from product, engineering, marketing, and business operations to align data-driven initiatives with organizational goals. They are responsible for translating complex analytical findings into actionable insights and ensuring that data science projects address real business needs. Effective collaboration requires strong communication skills, the ability to prioritize multiple projects, and fostering a culture of knowledge sharing across teams. By coordinating with various departments, Senior Data Science Managers help ensure that data-driven strategies lead to measurable business impact.

What are the key skills and qualifications needed to thrive as a senior data science manager, and why are they important?

To thrive as a Senior Data Science Manager, you need strong expertise in data analysis, statistical modeling, and machine learning, typically supported by an advanced degree in a quantitative field and significant experience leading data teams. Familiarity with tools such as Python, R, SQL, cloud platforms (e.g., AWS, Azure), and data visualization software is essential, along with knowledge of project management methodologies. Outstanding leadership, communication, and strategic thinking skills are crucial for aligning data initiatives with business goals and fostering team development. These abilities are vital for driving impactful analytics projects, delivering actionable insights, and ensuring the success of data-driven strategies within an organization.

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

AspectSenior Data Science ManagerData Scientist
CredentialsAdvanced degree (Master's/PhD), leadership experienceBachelor's or Master's in Data Science, Statistics, or related field
Work EnvironmentLeads teams, manages projects, strategic planningAnalyzes data, builds models, reports findings
Employer & Industry UsageUsed in organizations with data teams, tech, finance, healthcareEntry to mid-level roles across industries

The main difference is that a Senior Data Science Manager oversees data teams and strategic initiatives, while a Data Scientist focuses on analyzing data and building models. The manager role involves leadership and project management, whereas the Data Scientist role is more technical and hands-on.

What cities near Edmonton, AB are hiring for Senior Data Science Manager jobs?

Cities near Edmonton, AB with the most Senior Data Science Manager job openings:

Senior Data Scientist

Targeted Talent

Edmonton, AB โ€ข Remote

Full-time

Re-posted 28 days ago


Job description

We are looking for an experienced Senior Data Scientist for our client. This is a permanent position that is completely remote! Our client is a fintech company based out of Vancouver

You Have:

  • 3 - 5+ Years experience working in Data Engineering/Data Science utilizing R (purrr, tidyr, dplyr, tibble, & the tidyverse)
  • Strong analytical skills working with unstructured data sets
  • Knowledge of relational (PostgreSQL, MySQL, etc.) and non-relational databases (including MongoDB)
  • Strong experience with big data services like Spark, Kafka, Rabbit
  • Experience working with Startups are considered a bonus
  • Experience working with cloud services, specifically AWS are considered a bonus

Some AWESOME selling points:

  • Remote + flexible work schedule
  • North of six figures salary + Equity + Health Spending Account (it's competitive)
  • Amazing opportunity for career progression to lead
  • Amazing mentorship (seriously)
  • Plenty of vacay
It's a seriously awesome opportunity! If this looks interesting to you, go ahead and click apply :)

* Unfortunately we are only able to consider candidates who either live in Canada, or currently have an active Canadian work visa or citizenship for this role.


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About Targeted Talent

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Your single source for HR professional services, we offer job seekers specialized employment services, spanning contract, permanent positions, and project solutions for highly specialized and managerial level talent needs. Our team of specialized recruiters and consultants abilities extend far beyond resume or career counseling. With hundreds of collaborators strategically located throughout the country, our organization possess the local market knowledge and industry relationships that make successful geography-specific reach possible.

Industry

Recruiting and staffing services

Company size

11 - 50 Employees

Headquarters location

Vancouver, BC, CA