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Python Data Scientist Jobs in Alberta (NOW HIRING)

Proficient with python data-science libraries ( pandas, numpy, bokeh ) * Expertise in combinatorial and graph optimization algorithms * A Masters or PHD in Computer Science, Engineering. or ...

Providing software development expertise to data science and analytics teams * Translating business ... Hands-on experience with Python data libraries and building solutions in AWS * Solid understanding ...

Proficient with python data-science libraries ( pandas, numpy, bokeh ) * Expertise in combinatorial and graph optimization algorithms * A Masters or PHD in Computer Science, Engineering. or ...

The Opportunity We're hiring a Lead Data Scientist to anchor one of the most important bets in our ... Strong Python proficiency and hands-on experience with statistical modeling libraries * A track ...

You will work closely with a team of data scientists and data engineers to deploy solutions and ... Strong programming skills in Python and experience with popular machine learning libraries such as ...

You will work closely with a team of data scientists and data engineers to deploy solutions and ... Strong programming skills in Python and experience with popular machine learning libraries such as ...

... Python. • Experience with databases and programming languages (SQL, Oracle, Hadoop, NoSQL) for ... data science, or AI/ML solutions. • Ability to understand the business significance of data ...

Write clean, efficient, and maintainable SQL and Python code to transform raw data into curated ... Build reliable transformation workflows that support analytics, reporting, and data science ...

Strong expertise in Python and experience with data science libraries (e.g., Scikit-learn, Pandas, Numpy) * Solid background in machine learning algorithms, including regression, classification ...

Strong expertise in Python and experience with data science libraries (e.g., Scikit-learn, Pandas, Numpy) * Solid background in machine learning algorithms, including regression, classification ...

Bachelor's or Master's degree in Computer Science, Engineering, Data Analytics, or a related ... Strong technical proficiency in SQL, Python, data modeling, and cloud environments (preferably ...

Bachelor's or Master's degree in Computer Science, Engineering, Data Analytics, or a related ... Strong technical proficiency in SQL, Python, data modeling, and cloud environments (preferably ...

You will work closely with Data Analysts, Data Scientists, Business Systems Analysts, and platform ... Python, SQL, and PySpark, as well as MLOps, DevOps/CI/CD pipelines, performant data stores and ...

... in Business Intelligence, Data Science, or a related role - Prior work experience in the ... SQL, Python, Azure and knowledge of web development frameworks such as Django and Flask ...

Bachelor's degree in Engineering, Computer Science, Statistics, Mathematics, or a related technical ... SQL, DAX, Python, Databricks and snowflake. * Excellent communication, collaboration, and ...

Bachelor's degree in Engineering, Computer Science, Statistics, Mathematics, or a related technical ... SQL, DAX, Python, Databricks and snowflake. * Excellent communication, collaboration, and ...

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Python Data Scientist information

See Alberta salary details

$25K

$127K

$190K

How much do python data scientist jobs pay per year?

As of Jun 11, 2026, the average yearly pay for python data scientist in Alberta is $126,959.00, according to ZipRecruiter salary data. Most workers in this role earn between $104,000.00 and $159,000.00 per year, depending on experience, location, and employer.

What does a data scientist do with Python?

A data scientist uses Python to analyze data, build models, and create visualizations. They often utilize libraries like pandas, scikit-learn, and TensorFlow to extract insights and develop predictive algorithms, making Python a key tool in their workflow.

What is the difference between Python Data Scientist vs Data Analyst?

AspectPython Data ScientistData Analyst
Required SkillsPython, machine learning, statistical analysis, data modelingExcel, SQL, basic statistics, data visualization
CertificationsData Science certifications, Python programming coursesData analysis or business intelligence certifications
Work EnvironmentData science teams, R&D, predictive modeling projectsBusiness units, reporting, data visualization tasks
Industry UsageTech, finance, healthcare, e-commerceRetail, marketing, finance, healthcare

Python Data Scientists focus on building predictive models and advanced analytics using Python, while Data Analysts primarily interpret data through visualization and reporting. Both roles require strong analytical skills, but Python Data Scientists typically have more programming and machine learning expertise, making them suitable for complex data projects.

What are some common challenges faced by Python Data Scientists when working with large datasets?

Python Data Scientists often encounter challenges related to processing and analyzing large datasets, such as memory limitations and slow computation times. To address these, professionals typically use libraries like Pandas, Dask, or PySpark to optimize data handling and leverage parallel computing. Collaborating closely with data engineers and IT teams can also help in setting up efficient data pipelines and scalable infrastructure. Staying updated with best practices in data preprocessing and model optimization is crucial for managing these challenges effectively.

How much do Python data scientists make?

Python data scientists typically earn between $80,000 and $130,000 annually, depending on experience, location, and industry. Senior roles or those with advanced skills in machine learning and big data tools can earn higher salaries, often exceeding $150,000.

What is a Python Data Scientist?

A Python Data Scientist is a professional who uses Python programming language and its data analysis libraries to extract insights from large datasets. They apply statistical techniques, machine learning algorithms, and data visualization tools to solve business problems and make data-driven decisions. Python Data Scientists often work with tools like pandas, NumPy, scikit-learn, and Jupyter notebooks to manipulate data and build predictive models. Their role typically involves collecting, cleaning, analyzing, and interpreting complex data to help organizations make informed decisions.

Is 40 too late for data science?

Age is not a barrier to becoming a Python Data Scientist. Many professionals transition into data science later in their careers by acquiring relevant skills such as Python, machine learning, and data analysis, often through online courses or certifications. Success depends on your ability to learn, adapt, and build a strong portfolio of projects regardless of age.

What is the 80 20 rule in data science?

In data science, the 80/20 rule, also known as Pareto principle, suggests that roughly 80% of results come from 20% of the efforts or features. Data scientists often use this concept to focus on the most impactful variables or tasks to optimize model performance and efficiency.

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

To thrive as a Python Data Scientist, you need strong analytical skills, a solid understanding of statistics, machine learning, and proficiency in Python programming, typically backed by a degree in computer science or a related field. Familiarity with tools and libraries such as Pandas, NumPy, Scikit-learn, TensorFlow, and version control systems like Git is essential. Problem-solving, curiosity, and effective communication are standout soft skills for this role. These abilities are crucial for extracting actionable insights from data, building predictive models, and collaborating across multidisciplinary teams.
What are popular job titles related to Python Data Scientist jobs in Alberta? For Python Data Scientist jobs in Alberta, the most frequently searched job titles are:
What job categories do people searching Python Data Scientist jobs in Alberta look for? The top searched job categories for Python Data Scientist jobs in Alberta are:
Infographic showing various Python Data Scientist job openings in Alberta as of June 2026, with employment types broken down into 50% Full Time, and 50% Contract. Highlights an 89% Physical, 3% Hybrid, and 8% Remote job distribution, with an average salary of $126,959 per year, or $61 per hour.
C++ Developer

C++ Developer

Targeted Talent

Edmonton, AB • On-site, Remote

Full-time

Medical, Dental

Posted 17 days ago


Job description

We are looking for multiple experienced C++ Developer for our client. This is a permanent position, remote based in Vancouver! You'll be working with cutting edge technology, developing microchips with neural networks.

You Have:

  • 3 - 5 + years of experience developing with C++ and Python
  • EDA or FPGA place and route experience
  • Proficient with python data-science libraries (pandas, numpy, bokeh)
  • Expertise in combinatorial and graph optimization algorithms
  • A Masters or PHD in Computer Science, Engineering. or equivalent

Some AWESOME selling points:

  • Remote + flexible work schedule
  • Competitive salary + Extended Health and Dental Benefits
  • 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, please click the link and 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

Sourced by ZipRecruiter

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