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Part Time Remote Data Science Jobs in Toronto, ON

Mercor

Penetration Tester | Upto $2150 Part-time

Toronto, ON · Remote

CA$1.7K - CA$2.1K/wk

Remote Role Responsibilities * Review and evaluate AI-generated outputs related to threat analysis ... Annotate, label, and validate data across cybersecurity use cases like CVE classification accuracy ...

All JobsData Science JobsPart Time Remote Data Science JobsPart Time Remote Data Science Jobs in Toronto, ON

Part Time Remote Data Science information

How do part-time remote data scientists typically collaborate with full-time team members and stay aligned on project goals?

Part-time remote data scientists often use collaboration tools like Slack, Zoom, and project management platforms to communicate regularly with full-time team members. They participate in scheduled check-ins, contribute to shared documentation, and frequently update progress on assigned tasks to ensure alignment with project goals. Clear communication and proactive scheduling help address challenges such as different time zones and limited overlapping hours. This structure supports strong teamwork and keeps part-time contributors integrated into the broader data science workflow.

What is the difference between Part Time Remote Data Science vs Part Time Remote Data Analysis?

AspectPart Time Remote Data SciencePart Time Remote Data Analysis
Required CredentialsBachelor's or higher in Data Science, Statistics, or related fields; sometimes certifications in machine learning or data analysisBachelor's in Data Analysis, Statistics, or related fields; certifications in Excel, SQL, or data visualization tools
Work EnvironmentRemote, project-based, often involves coding, modeling, and algorithm developmentRemote, focuses on interpreting data, creating reports, and visualizations
Employer & Industry UsageTech companies, finance, healthcare, e-commerceMarketing agencies, business consulting, retail, finance

Part Time Remote Data Science involves more technical skills like machine learning and programming, while Part Time Remote Data Analysis emphasizes interpreting data and creating reports. Both roles are remote and part-time but differ in technical complexity and focus areas.

What is a part time remote data science job?

A part time remote data science job involves working with data to analyze, interpret, and generate insights for organizations, but on a flexible, reduced hour schedule and entirely from a remote location. Typical tasks may include data cleaning, statistical analysis, building machine learning models, and creating data visualizations. These roles are ideal for individuals seeking work-life balance, students, or professionals looking to supplement their income while working from home. Employers often require proficiency in programming languages like Python or R, experience with data tools, and strong analytical skills.

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

To thrive as a Part Time Remote Data Scientist, you need a solid understanding of statistics, programming (typically Python or R), and data analysis, usually reinforced by a degree in a relevant field or equivalent work experience. Familiarity with tools such as SQL, Jupyter Notebooks, and machine learning libraries like scikit-learn or TensorFlow, as well as version control systems like Git, is commonly expected. Strong problem-solving skills, effective communication, and self-motivation are crucial for managing projects independently and collaborating remotely. These skills enable you to deliver actionable insights and value to organizations while maintaining productivity and accountability in a flexible, remote environment.
What are the most commonly searched types of Remote Data Science jobs in Toronto, ON? The most popular types of Remote Data Science jobs in Toronto, ON are:
What are popular job titles related to Part Time Remote Data Science jobs in Toronto, ON? For Part Time Remote Data Science jobs in Toronto, ON, the most frequently searched job titles are:
What job categories do people searching Part Time Remote Data Science jobs in Toronto, ON look for? The top searched job categories for Part Time Remote Data Science jobs in Toronto, ON are:
Part Time Remote Data Science jobs near you

Full-Stack Engineer (Contract - Part-Time) (Remote)

mello

Toronto, ON • Remote

$100K - $150K/yr

Part-time

Posted 18 days ago

Job description

About Us

mello is a Y Combinator (S21) backed start-up that integrates wellbeing into every employees' workflow in order to unlock their full potential. We are paving the path for the future of work. Our vision is to help every remote team on the planet to work healthier, more sustainably, and learn how to stay mello instead of burning out.

As second time founders, we burnt out building our last company during the pandemic. We wanted a simple, easy-to-use solution that integrates right into our workflow to increase our wellbeing but couldn't find anything on the market so we decided to build the solution we would've liked to use ourselves (aka, eating your own dog food).

At mello, we're building the new standard that remote and hybrid companies use to track, measure and act on burnout to inspire happier, healthier, more motivated teams. mello suggests smart actions for both employees, managers as well as HR to take to increase wellbeing, productivity and retention.

About this Role

As a modern Full-Stack Engineer, you are well versed in all aspects of development from a transistor to a website, including the browser, OS, CPU, RAM, architecture and everything. Here in mello we are much, mello-er, in requirements:

  • You will be responsible for both front end UI elements and experiences, as well as integrating, and maintaining / modifying backend services as required. The split is expected to be 63.5 / 37.5[1]
  • You will ensure the app can scale from 1000 to a million users
  • You will contribute and define our engineering values, process, and deployment cacadence, with scalability and security in mind.

Technical Skills you have:

  • IAM / OAuth (e.g. AWS Cognito, Okta)
  • Frontend frameworks i.e. React.js (Hooks preferred), Vue.js
  • In-depth CSS knowledge i.e. SCSS, Sass
  • 3rd party integrations experience with OAuth, SDK (i.e. AWS SDK), and API backend (BFF)
  • Develop, improve, and fix custom API backend as required
  • SPA Cloud deployment i.e. AWS S3 / Amplify, Netlify, Firebase a plus
  • Experience with Database ORB a plus

What you'll be doing

  • Experience with modern Front end frameworks e.g. React.js (Hooks), Vue.js and Gatsby. Familiarity with analytics is a plus.
  • Experience with OAuth flows and implementation / integration with 3rd party service
  • Experience with Front end deployment services e.g. AWS Amplify, Netlify, firebase
  • Experience with different data fetching / caching strategy and design tradeoffs, principles, and practices to help guide the team's technical direction
  • Experience with Test Driven Development and proficiency with a testing framework e.g. Jest
  • Experience with API integration as well as development. No stranger when comes to resolving CORS related nonsense
  • Experience with Database is a plus.
  • A strong desire to build secure software and protect user information.

Who you are

  • You are excited about our mission: unlocking human potential via wellbeing and the Future of Work
  • You are excited about joining a early-stage growth start-up
  • You have a growth-mindset
  • You don't mind learning a bit of everything outside engineering
  • You deeply care about UX/Design and won't compromise on quality
  • You ask yes, and? and are extremely collaborative
  • You're curious about how our UX Designers/Researchers conduct their work and how your work flows into theirs
  • You're proactive, a problem solver and go-getter
  • You're collaborative and are a team player
  • You're curious and self-motivated
  • You knows how to take and give direction
  • You can adapt to change quickly

Job Type: Contract (Part-Time)

Number of Hours: Up to 30hrs/week

Pay (USD): $100k - $150k

Education:

  • Bachelor's in Computer Science (Preferred)

Experience:

  • Full Stack Development: 2 years (Required)
  • DevOps: 1 years (Preferred)