Data Scientist

HighlightTA; Toronto; Remote; CAD 80,000 - 110,000; Full time

Job summary

A talent acquisition service is seeking an experienced Data Scientist to develop predictive models and handle data strategy for a leading AI platform. The ideal candidate will have over 4 years of experience in data science, strong skills in Python and SQL, and the ability to manage projects independently. This role offers benefits like unlimited paid time off and comprehensive health plans, and allows for a fully remote workplace.

Benefits

Unlimited paid time off

Comprehensive health plans

401(k) with company match

Paid parental leave

Pet insurance

Paid sick time

Monthly paid volunteer day

Qualifications

• 4+ years of experience in a data science role, with proven experience taking ML models from concept to production.
• Experience making decisions around data modeling.
• Ability to manage projects independently in a fast-paced environment.

Responsibilities

• Design, build, and validate predictive machine learning models.
• Conduct exploratory data analysis.
• Collaborate with the Data Engineer to integrate models into production.

Skills

Python

Advanced SQL

Machine Learning Models

Data Analysis

Statistical Programming

Education

Bachelor’s degree in a quantitative field

Tools

AWS SageMaker

Snowflake

Job description

About Neon One

Data Scientist

The Data Scientist is a high-impact, strategic role focused on developing client-facing predictive models and shaping the intelligence layer of our next-generation AI platform.

This is a role for a self-starter who can navigate unstructured data, work independently through ambiguity, and apply advanced ML techniques to complex business problems. You\'ll be instrumental in translating data into strategy and creating predictive tools that help mission-driven organizations thrive.

While not at a “Data Architect” level, the ideal candidate will have experience making foundational decisions about data modeling and the structure of ML models to support long-term scalability and performance.

Key Responsibilities

Modeling & AI Development

• Design, build, and validate predictive machine learning models for real-world, client-facing use cases.

• Explore and connect data across marketing, finance, and application platforms to unlock predictive insights.

• Partner with a third-party AWS contractor to leverage and inform the development of MLOps components (e.g., SageMaker templates).

Data Analysis & Strategy

• Conduct exploratory data analysis (EDA) to identify key relationships and features.

• Translate model outputs into actionable strategies for customers and internal teams.

• Build dashboards and reports that deliver value both at scale and at the individual client level.

Collaboration & Ownership

• Work independently to drive end-to-end projects, from hypothesis to production.

• Collaborate closely with the Data Engineer to ensure models are robust, scalable, and successfully integrated into production pipelines.

• Share findings clearly with stakeholders across product, marketing, and finance teams.

Must-Haves

• 4+ years of experience in a data science role, with proven experience taking ML models from concept to a production environment.

• Experience making decisions around data modeling or ML architecture.

• Strong skills in any statistical programming language (e.g., Python, R); Python is preferred.

• Advanced SQL proficiency for complex data manipulation and analysis.

• Hands-on experience with a cloud ML platform; AWS SageMaker strongly preferred, but GCP or Azure ML experience may be considered.

• Ability to manage projects independently in a fast-paced, ambiguous environment.

• Strategic thinking and curiosity about applying data science to real-world business problems.

• Bachelor’s degree in a quantitative field (e.g., Computer Science, Statistics, Mathematics).

Great-to-Haves

• Familiarity with Snowflake and MLOps practices.

• Experience with LLMs or NLP use cases.

• Prior work in SaaS or multi-tenant platforms.

• Passion for or experience in the nonprofit space.

Why Join Neon One?

At Neon One, our values are how we show up every day. We make good happen by putting empathy and passion at the center of our work, using technology to uplift mission-driven organizations. We stand for our customers, act with care and intention in every decision, own the solution, and grow together. We innovate fearlessly, always exploring new ways to support our community and each other.

Benefits and More

• Unlimited paid time off.

• Comprehensive health plans (medical, dental, vision).

• 401(k) with up to 3.5% company match.

• Paid parental leave after one year.

• Company-paid life insurance and long-term disability.

• Pet insurance.

• 11 company holidays.

• Paid sick time and a monthly paid volunteer day.

• Medical and dependent care flexible spending accounts.

• Fully remote workplace.

How We Hire

We use AI tools to support our recruitment process, including helping us organize applications and identify early matches based on role criteria. That said, every rejection decision is made by a human. We encourage candidates to apply authentically and avoid relying solely on AI-generated responses, especially during interviews.

This opportunity is offered through HighlightTA, the on-demand talent team supporting Neon One’s growth.

Connect with us and learn more: Neon One on LinkedIn; HighlightTA on LinkedIn.