ZipRecruiter

Log In

1

Data Science Startup Jobs in Ontario (NOW HIRING)

Rockstar

Software Engineer

Toronto, ON

  • Retirement

  • PTO

Rockstar is recruiting for an early-stage, well-funded startup that is transforming how enterprise ... flexible data ingestion, and complex financial modeling - Ensure best practices in software ...

General Motors

Staff Embedded Logging Software Developer

Markham, ON · Hybrid

CA$147K - CA$196K/yr

  • Medical

  • Dental

  • Vision

  • Life

  • Retirement

  • PTO

The Role The Data Engineering organization at General Motors Canada is developing a unified ... Establish startup sequencing and resource budgets (CPU, memory, flash) that safeguard realtime and ...

General Motors

Staff Embedded Logging Software Developer

Oshawa, ON · Hybrid

CA$147K - CA$196K/yr

  • Medical

  • Dental

  • Vision

  • Life

  • Retirement

  • PTO

The Role The Data Engineering organization at General Motors Canada is developing a unified ... Establish startup sequencing and resource budgets (CPU, memory, flash) that safeguard realtime and ...

DNAstack

Bioinformatics Analyst

Toronto, ON

  • Medical

  • Dental

  • Vision

  • PTO

Ability to work in a fast-paced startup environment with a bias toward action, a willingness to ... Opportunity to contribute to open science and global data-sharing efforts The salary range for this ...

DNAstack

Bioinformatics Team Manager

Toronto, ON

  • Medical

  • Dental

  • Vision

  • PTO

Nice to Have * Previous experience in a startup or early-stage company. * Statistical and ... Opportunity to contribute to open science and global data-sharing efforts The salary range for this ...

Sage Recruiting

Embedded Engineer

Toronto, ON · Hybrid

$130K - $150K/yr

... an early-stage startup building automation and robotics for high-precision scientific ... Data analysis and sensor readout interpretation We're industry-agnostic. Strong candidates from oil ...

Profound Medical

Clinical Research Associate

Mississauga, ON · On-site

CA$60K - CA$75K/yr

... startup to closeout. Duties and Responsibilities * Execute core clinical operations activities with ... Ensure study data are accurate, complete, and verifiable through source data review/verification ...

previous page

Showing results 41-60

All JobsData Science Startup JobsData Science Startup Jobs in Ontario

Data Science Startup information

See Ontario salary details

$23.5K

$112.9K

$210.5K

How much do data science startup jobs pay per year?

As of Aug 16, 2026, the average yearly pay for data science startup in Ontario is $112,882.00, according to ZipRecruiter salary data. Most workers in this role earn between $57,500.00 and $157,000.00 per year, depending on experience, location, and employer.

What is a data science startup?

A Data Science Startup job involves working at an early-stage company that leverages data science to build innovative products or services. Employees typically wear multiple hats, working on data analysis, machine learning models, data pipelines, and sometimes even product or business strategy. The role often requires strong programming skills (Python, SQL), statistical knowledge, and the ability to work in a fast-paced, evolving environment. Since startups have limited resources, adaptability, problem-solving skills, and a willingness to experiment are crucial. It’s a great opportunity to gain diverse experience and make a significant impact in shaping a company's data strategy.

What are the typical challenges faced when working at a data science startup?

Working at a data science startup often involves managing ambiguity, adapting to frequently changing priorities, and balancing multiple roles due to lean team structures. You may be responsible for the entire data pipeline—from data collection and cleaning to building models and presenting findings—making flexibility and resourcefulness essential. Tight project timelines, evolving business goals, and limited initial resources can also be common, so being proactive and self-motivated helps you thrive. On the positive side, these challenges offer significant opportunities to learn rapidly, take ownership of impactful projects, and shape both the company's products and your own career trajectory.

What are the key skills and qualifications needed to thrive in a data science startup, and why are they important?

To thrive in a Data Science Startup, you need strong analytical skills, proficiency in programming languages like Python or R, and a solid understanding of statistics and machine learning. Familiarity with data visualization tools, cloud platforms, and relevant certifications such as Certified Data Scientist or AWS Certified Data Analytics are highly valued. Adaptability, creative problem-solving, and effective communication are key soft skills that set standout professionals apart in this environment. These skills are vital for driving innovation, efficiently handling rapidly changing projects, and collaborating in a fast-paced, entrepreneurial setting.

What job categories do people searching Data Science Startup jobs in Ontario look for?

The top searched job categories for Data Science Startup jobs in Ontario are:

What cities in Ontario are hiring for Data Science Startup jobs?

Cities in Ontario with the most Data Science Startup job openings:

Data Science Startup jobs near you
Infographic showing various Data Science Startup job openings in Ontario as of August 2026, with employment types broken down into 100% Full Time. Highlights an 100% In-person job distribution, with an average salary of $112,882 per year, or $54.3 per hour.

Software Engineer

Rockstar

Toronto, ON

Full-time

Retirement, PTO

Re-posted 10 days ago

Job description

Rockstar is recruiting for an early-stage, well-funded startup that is transforming how enterprise accounting teams manage the month-end close process. The founding team brings deep experience from both finance and engineering, having overseen finance organizations at leading tech companies and built month-end close systems at major enterprises. The company is backed by top-tier investors and finance leaders from some of the most innovative organizations in the industry.

About the Company

This early-stage startup is dedicated to helping enterprise accounting teams streamline the tedious process of month-end closing. The founders have experience from both sides of the problem: overseeing finance organizations at leading technology companies and building month-end close systems at major tech firms. The company has raised a record-setting seed round in the accounting space from top venture capital firms and is supported by finance leaders at prominent technology companies.

Role Overview

They are setting up a new Toronto engineering office and need a founding team
As a founding engineer, the selected candidate will be at the core of building the product from the ground up. This role offers the opportunity to shape both the front-end and back-end architecture, working closely with the founders and early customers to solve complex financial problems.

Key Responsibilities

- Lead full-stack development of key product features such as reconciliations, flux analysis, and accruals automation

- Build and maintain robust integrations with financial systems including ERPs, HRIS, procurement software, and CRMs

- Design and implement core components of the backend platform, including the jobs framework, flexible data ingestion, and complex financial modeling

- Ensure best practices in software development, including code quality, automated testing, and CI/CD

- Collaborate with the founding team on product strategy, feature prioritization, and customer feedback loops

- Build and maintain planning and agentic workflows using state-of-the-art large language models

- Collaborate on technical decisions regarding scalability and security

- Help build the engineering team and culture

Required Skills

- Bachelor's or master's degree in computer science or a related field

- 1-3 years of experience in full-stack development, preferably with early-stage startups

- Strong experience building financial systems is preferred

- Proficiency in front-end technologies such as React and NextJS

- Strong back-end development experience with Go or similar technologies

- Strong experience with relational databases and modeling

- Familiarity with cloud infrastructure (AWS, GCP)

- Ability to understand basic machine learning concepts and quickly ramp up

- Startup mentality with a passion for rapid prototyping, testing, and iterating on feedback

- Fintech or accounting software experience is a plus

Why Join

- Be a core part of a mission-driven startup looking to transform accounting processes

- Work in a fast-paced environment where decisions directly impact product direction and company growth

- Opportunity to grow with the company and build a technical team from the ground up

- Competitive salary, equity, and benefits (401k, unlimited PTO)

Join in revolutionizing the accounting month-end close and making accounting operations more efficient for businesses everywhere!

Apply