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Best Paying Computer Science Jobs in Markham, ON

Today, CookUnity delivers 50 million meals a year from the industry's best chefs to homes all over ... PhD or Master's degree in Computer Science, Statistics, Mathematics, or related quantitative field

Technical skills in both data and computer science. There are 3 core technical skills we look for ... Apply best-in-breed data science techniques including descriptive, predictive, and machine learning ...

Technical skills in both data and computer science. There are 3 core technical skills we look for ... Apply best-in-breed data science techniques including descriptive, predictive, and machine learning ...

New

Technical skills in both data and computer science. There are 3 core technical skills we look for ... Apply best-in-breed data science techniques including descriptive, predictive, and machine learning ...

New

Technical skills in both data and computer science. There are 3 core technical skills we look for ... Apply best-in-breed data science techniques including descriptive, predictive, and machine learning ...

Technical skills in both data and computer science. There are 3 core technical skills we look for ... Apply best-in-breeddata science techniques including descriptive, predictive, and machine learning ...

Technical skills in both data and computer science. There are 3 core technical skills we look for ... Apply best-in-breeddata science techniques including descriptive, predictive, and machine learning ...

Advanced degree in Statistics, Computer Science, Behavioral Science or Mathematics preferred. * 3+ ... best practices) and empirical science. * Experience in an HR space (e.g. People Analytics) or ...

Advanced degree in Statistics, Computer science, Behavioural Science or Mathematics preferred * 3+ ... best practices) and empirical science. * Experience in an HR space (e.g. People Analytics) or ...

Advanced degree in Data Science, Analytics, Statistics, Computer Science, Engineering, Finance, or ... Here at TD, we hire and develop the best. Training & Onboarding We will provide training and ...

D.) in Computer Science, Data Engineering, Data Science, or a related quantitative field ... We believe that our best work comes from our diverse backgrounds, perspectives, and skills. We ...

New

Data Scientist

Toronto, ON ยท On-site +1

Implement best practices in LLM-based engineering, including RAG frameworks, evaluation approaches ... computer science focus preferred. * Machine learning, data science, AI engineering, or applied ...

Data Science Engineer (GCP)

Toronto, ON ยท On-site

$90 - $120/hr

... best possible techniques and tools. Qualifications: * Bachelor's degree in Computer Science, Statistics, Mathematics, or a related quantitative field. Master's or Ph.D. is a plus. * 3+ years of ...

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Best Paying Computer Science information

What are the best paying jobs in computer science?

The best paying jobs in computer science typically include roles such as software architect, machine learning engineer, data scientist, cloud solutions architect, and cybersecurity engineer. These positions often require advanced skills in programming, systems design, and data analysis, as well as experience with the latest technologies. Salaries can vary depending on location, level of experience, and the specific industry, but these roles consistently rank among the highest paying in the tech sector. Many of these positions also offer additional benefits and opportunities for career advancement.

What professions make $200,000 a year without a degree?

In the computer science field, roles such as software engineers, data scientists, and cybersecurity specialists can earn $200,000 or more annually, especially with extensive experience, specialized skills, or working in high-demand industries. Many of these positions prioritize skills, certifications, and proven performance over formal degrees, and they often involve programming, system architecture, or security expertise.

Can you make 300k a year in tech?

In computer science roles such as software engineering, data science, and machine learning, it is possible to earn $300,000 or more annually, especially with seniority, specialized skills, or working at large tech companies. High salaries often require advanced expertise, experience, and sometimes additional certifications or advanced degrees.

Can you make $500,000 as a software engineer?

Software engineers can earn $500,000 or more annually, primarily through senior roles, specialized skills, or working at large tech companies and startups with equity options. High salaries often require extensive experience, advanced technical skills, and sometimes leadership responsibilities or performance bonuses.

What is the difference between Best Paying Computer Science vs Software Engineer?

AspectBest Paying Computer ScienceSoftware Engineer
Required CredentialsBachelor's or Master's in Computer Science, certifications like AWS, CiscoBachelor's in Computer Science or related field, coding certifications
Work EnvironmentResearch labs, tech companies, academiaTech firms, startups, corporate IT departments
Employer & Industry UsageUniversities, research institutions, high-tech companiesSoftware development firms, tech giants, consulting
Common Search & Comparison IntentHigh-paying roles in CSSoftware development salaries & roles

Best Paying Computer Science roles often include specialized positions like data scientist or AI researcher, which may require advanced degrees and certifications. Software Engineers focus on designing, coding, and maintaining software applications. While both roles require a computer science background, Best Paying Computer Science positions tend to offer higher salaries due to specialization and industry demand, especially in research or executive roles.

What is the highest paying job for computer science?

The highest paying jobs in computer science typically include roles such as software engineering managers, solutions architects, and machine learning engineers, with salaries often exceeding $150,000 annually. These positions usually require advanced skills in programming, system design, and experience with cloud platforms or AI technologies.

What are some common challenges faced by professionals in high-paying computer science roles, and how can candidates prepare for them?

Professionals in high-paying computer science roles often face challenges such as keeping up with rapidly evolving technologies, managing complex projects, and collaborating across multidisciplinary teams. Candidates can prepare by regularly updating their technical skills, gaining experience with project management tools, and developing strong communication abilities. Additionally, being adaptable and proactive in learning new programming languages and frameworks can help professionals stay competitive and successful in these demanding positions.

What are the key skills and qualifications needed to thrive in one of the best paying computer science roles, such as a Software Engineer or Data Scientist, and why are they important?

To excel in top-paying computer science roles, you typically need strong programming skills, expertise in algorithms and data structures, and a relevant computer science degree. Familiarity with technical tools like Python, Java, cloud platforms, and frameworks, along with certifications in areas like AWS or machine learning, is often required. Outstanding problem-solving abilities, teamwork, and effective communication are soft skills that help professionals stand out. These skills and qualifications are crucial for developing innovative solutions, collaborating on complex projects, and driving business success in a technology-driven environment.
What are popular job titles related to Best Paying Computer Science jobs in Markham, ON? For Best Paying Computer Science jobs in Markham, ON, the most frequently searched job titles are:
What cities near Markham, ON are hiring for Best Paying Computer Science jobs? Cities near Markham, ON with the most Best Paying Computer Science job openings:
Infographic showing various Best Paying Computer Science job openings in Markham, ON as of July 2026, with employment types broken down into 1% As Needed, 77% Full Time, 18% Part Time, and 4% Contract. Highlights an 86% Physical, 5% Hybrid, and 9% Remote job distribution.
Senior Data Scientist - Computer Vision

Senior Data Scientist - Computer Vision

Zesty.ai

Toronto, ON โ€ข On-site, Remote

Other

Posted 4 days ago

New


Job description

Senior Data Scientist - Computer Vision

Remote, Canada

Events in recent years have made us all too familiar with the havoc natural disasters can wreak and the increasing frequency and intensity with which they occur. Despite record losses, conventional risk modeling methods continue to paint, at best, an incomplete picture of these threats.

ZestyAI uses novel data-gathering and data science methods to produce higher-quality information about the risks to property from catastrophes such as storms and wildfires. While AI alone may not be able to thwart these disasters, it can help us become better prepared for them, and ultimately lead to better outcomes.

As a Senior Data Scientist specializing in deep learning for computer vision, you will play a pivotal role in our Data Science and Machine Learning team. You will be responsible for training, deploying, and optimizing state-of-the-art deep learning models to tackle challenging computer vision problems. You will scale the development of top-tier models by leveraging diverse data sources, generating valuable insights, and maximizing the impact of our products. You thrive in a collaborative, innovative environment that moves fast and are comfortable establishing structures and processes that drive the company's success.

The Opportunity:

  • Explore data sources and develop new PropertyTech and InsurTech models using data science, including machine learning and deep learning.
  • Research, design, and implement deep learning algorithms and architectures that extract insights from imagery sources such as aerial imagery and geospatial data.
  • Lead the development of high-quality datasets for robust model training and evaluation.
  • Collaborate closely with cross-functional teams to understand requirements and translate product, engineering, and business constraints and questions into actionable data science problems.
  • Coach and provide feedback to members of the Data Science and Machine Learning team, fostering skill development and knowledge sharing.

What You Bring to the ZestyAI Team:

  • At least 5 years of experience applying machine learning techniques to computer vision applications.
  • BA/BS/BEng degree in Math, Physics, Computer Science, Engineering, Economics, or other related fields. MS or PhD is a plus.
  • Strong understanding of image processing, machine learning, deep learning, and AI principles.
  • Extensive hands-on experience designing and implementing deep learning models.
  • Experience deploying deep learning models in production environments.
  • Proficiency in Python, with experience using deep learning frameworks (e.g., PyTorch, TensorFlow) and related libraries (e.g., OpenCV, Pillow, Matplotlib, Plotly).
  • Understanding of data preprocessing and augmentation techniques for large-scale image datasets (bonus if experienced with aerial or satellite imagery).
  • Experience working with cloud computing platforms (e.g., Google Cloud Platform, AWS) and containerization/orchestration tools (e.g., Kubernetes, Docker).
  • Familiarity with version control systems (e.g., Git) and collaborative development workflows.
  • Experience working with BigQuery and SQL.
  • Experience using generative AI coding tools such as Claude Code and Cursor.
  • Excellent problem-solving skills and ability to work independently or as part of a team in a dynamic environment.
  • Strong organizational and management skills, with experience implementing best practices and processes.
  • Proven ability to mentor and guide junior team members, fostering a collaborative and supportive environment.
  • Strong communication skills.
  • Must be legally eligible to work in Canada.ย 

Why ZestyAI:

  • Be part of a well-funded, growth-stage start-up.
  • Market-competitive compensation and equity incentives, giving you a stake in our future.
  • Comprehensive healthcare plan.
  • Flexible time off and fully remote work.
  • An upbeat and collaborative work culture.
  • Professional development opportunities and support for continued learning and growth.
  • Company-sponsored outings and offsites.

All of your personal information will be kept confidential according to EEO guidelines.