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Full Time Python Data Analysis Jobs in Surrey, BC

Variational AI

Chemical data scientist

Vancouver, BC · Remote

VANCOUVER, BC (OR REMOTE IN CANADA) / FULL TIME Variational AI is radically accelerating the ... Strong programming skills in Python and experience with cheminformatics libraries and data analysis ...

Specsavers

Data Analyst - Burnaby, BC

Burnaby, BC · Hybrid

CA$80K - CA$95K/yr

  • Medical

  • Dental

  • Vision

  • PTO

What You'll Do The Data Analyst delivers Power BI visualizations and dashboards that tell a story ... Experience in Python or PySpark * Experience working in any capacity in retail or ecommerce, ...

Remitly

Data Analyst II, Fraud

Burnaby, BC · Hybrid

CA$100K - CA$125K/yr

  • Medical

  • Life

  • Retirement

  • PTO

As a Data Analyst, Fraud, you will be part of Remitly's Identity & Trust Analytics Team. Your ... Proficiency with SQL and hands-on experience analyzing large datasets (Python, R, or statistical ...

Pattison Food Group

Decision Science Analyst

Langley, BC · On-site

CA$85K - CA$106K/yr

  • Retirement

We have an exciting opportunity for a full-time Decision Science Analyst to join our More Rewards ... Using Python scripts in a Jupyter Notebook environment for exploratory data analysis, data ...

Evismart

Data Solutions Engineer

Vancouver, BC · On-site

Proficiency in Python for data analysis and workflow automation. * Experience with ETL/ELT pipelines and workflow automation. * Hands-on CRM data experience - auditing, cleansing, deduplication, and ...

Teck

Senior Data Developer

Vancouver, BC

CA$122K - CA$150K/yr

... Python and SQL for data ingestion, transformation, and analytics, leveraging Databricks, Spark ... Regular Full Time | Location: Vancouver | Workplace Type: #LI - Hybrid

Kiewit Corporation

Data Scientist 2

Vancouver, BC · On-site +1

  • Medical

  • Dental

  • Vision

  • Life

  • Retirement

  • PTO

Transportation Employment Type: Full Time Position Overview We are seeking a highly skilled and ... Our construction-focused engineers analyze root causes and resolve design issues before they impact ...

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All JobsPython Data Analysis JobsFull Time Python Data Analysis JobsFull Time Python Data Analysis Jobs in Surrey, BC

Full Time Python Data Analysis information

What is a full time python data analyst?

A Full Time Python Data Analysis job involves using the Python programming language to collect, clean, analyze, and visualize data in order to help organizations make data-driven decisions. Professionals in this role work with large data sets, utilize libraries like pandas and NumPy, and often create reports or dashboards to communicate their findings. They may collaborate with other teams to identify trends, solve business problems, and provide actionable insights based on the data.

What are some common challenges faced by full time python data analysts and how can they be addressed?

Full Time Python Data Analysts often encounter challenges such as handling large, messy datasets and ensuring data accuracy. Navigating complex data sources or integrating data from multiple platforms can also be demanding. To address these challenges, analysts typically leverage robust Python libraries like pandas and NumPy for efficient data wrangling, and collaborate closely with data engineering teams to clarify requirements and resolve data discrepancies. Regular code reviews and adopting best practices in data validation help maintain data integrity and streamline analysis workflows.

What are the key skills and qualifications needed to thrive as a full time python data analyst, and why are they important?

To thrive as a Full Time Python Data Analyst, you need strong analytical skills, proficiency in Python programming, and a solid understanding of statistics, typically supported by a relevant degree in computer science, mathematics, or a related field. Familiarity with data analysis libraries (such as pandas and NumPy), data visualization tools (like Matplotlib or Seaborn), and experience with SQL databases are commonly required. Attention to detail, problem-solving abilities, and effective communication skills distinguish top performers in this role. These skills and qualities are crucial for extracting actionable insights from data and effectively collaborating with stakeholders to inform business decisions.

What is the difference between Full Time Python Data Analysis vs Data Scientist?

AspectFull Time Python Data AnalysisData Scientist
Required CredentialsBachelor's in Data Analysis, Statistics, or related field; Python skillsBachelor's or higher in Data Science, Computer Science, or related; Python, R, ML certifications
Work EnvironmentCorporate, finance, marketing, or tech companies; data-focused teamsResearch labs, tech firms, finance, or healthcare; data modeling and research
Employer & Industry UsageCommon in industries needing data reporting and insightsUsed for predictive modeling, machine learning, and advanced analytics

Full Time Python Data Analysts focus on interpreting data and generating reports using Python, while Data Scientists develop models and algorithms for predictive analytics. Both roles require Python skills, but Data Scientists typically have more advanced statistical and machine learning expertise. The roles often overlap, but Data Scientists tend to work on more complex modeling tasks, whereas Data Analysts focus on data interpretation and visualization.

What are the most commonly searched types of Python Data Analysis jobs in Surrey, BC?

The most popular types of Python Data Analysis jobs in Surrey, BC are:

Full Time Python Data Analysis jobs near you
Infographic showing various Full Time Python Data Analysis job openings in Surrey, BC as of June 2026, with employment types broken down into 68% Full Time, 31% Part Time, and 1% Contract. Highlights an 82% Physical, 5% Hybrid, and 13% Remote job distribution.

Senior Python Software Developer

PDF Solutions

Vancouver, BC

CA$120K - CA$155K/yr

Full-time

Re-posted 11 days ago

Job description

Overview

At PDF Solutions, we are at the forefront of revolutionizing the semiconductor industry. Our cutting-edge technologies and data-driven solutions empower semiconductor manufacturers to achieve unprecedented levels of efficiency, quality, and innovation. By joining our team, you'll have the opportunity to work with some of the brightest minds in the industry, tackle complex challenges, and contribute to groundbreaking advancements that shape the future of technology. Headquartered in Santa Clara, California, PDF Solutions also operates worldwide in Canada, China, France, Germany, Italy, Japan, Korea, and Taiwan.

This work involves building robust Machine Leanring (ML) modeling pipeline in Python to achieve desired ML model performance on metrics of customer interest (e.g. yield, tolerance). Broken into steps, the work is roughly an equal mix of tweaking core ML algorithms / pipelines for enhanced model performance with desired computational speed and/or creating deployment-ready software in our proprietary architecture.

This role offers a unique opportunity to deploy non-trivial ML modeling pipeline into production along with associated systems, and seeing the impact of those models in action at some of the world’s largest chip manufacturers for wide variety of use cases. This is not a Hadoop/Spark-focused big data role but rather an ML-focused role but may also include general software engineering tasks as well, depending on what is needed to make the overall product and platform successful and production-ready. Our deployment environment is markedly different from typical cloud deployment with constant access for updates or bug-fixes. Roughly stated, the production requirements are closer to a self-driving robot than a cloud-integrated image recognition service.

An ideal candidate has invested time in continuous learning and implementing algorithms either using an existing framework/library or from scratch and understands failure modes of various algorithms in production. Additionally, the ideal candidate has collaborated with Data Scientists to put ML code into production.


Responsibilities
  • Implementing production grade scalable ML algorithms and analytics solutions
  • Improving computational performance of ML algorithms and analytics solutions
  • Interact with Software Engineers and Data Scientists to create clean API interfaces

Qualifications
  • MS or PhD in Computer Science, EE, Physics or related quantitative field
  • 8+ years of experience in back-end development in python.
  • 4+ years of engineering experience with significant exposure to algorithm implementation/machine learning libraries/frameworks.
  • Experience with relational and NoSQL databases such as Postgresql/Cassandra/Redis or similar.
  • Experience with API calls.
  • Hands-on experience with containers such as Docker.
  • Ability to analyze the bottlenecks and create high performance code.
  • Good understanding of CPU and memory issues in parallel computing

Pay Range
CAD $120,000.00 - CAD $155,000.00 /Yr.Qualifications:
  • MS or PhD in Computer Science, EE, Physics or related quantitative field
  • 8+ years of experience in back-end development in python.
  • 4+ years of engineering experience with significant exposure to algorithm implementation/machine learning libraries/frameworks.
  • Experience with relational and NoSQL databases such as Postgresql/Cassandra/Redis or similar.
  • Experience with API calls.
  • Hands-on experience with containers such as Docker.
  • Ability to analyze the bottlenecks and create high performance code.
  • Good understanding of CPU and memory issues in parallel computing
Education:UNAVAILABLEEmployment Type: FULL_TIME

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