Data Scientist at FutureFit AI | Ontario, Canada | Rezi

Data Scientist at FutureFit AI

Data Scientist

FutureFit AI · Ontario, Canada

1 months ago

Data Scientist

FutureFit AI · Ontario, Canada

2 months ago
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About the Role

We are seeking a Data Scientist to build the models at the heart of our product, connecting people to the right jobs, skills, and pathways. This role involves hands-on, applied data science on real workforce problems, utilizing skills and occupation taxonomies, labor market data, and matching/recommendation systems. You will partner closely with Engineering, Product, and the Director of Data & AI to bring models from concept to production.

Responsibilities

  • Build, evaluate, and ship models for matching, recommendation, and ranking that directly shape the job seeker experience.
  • Work with skills, occupation, and career taxonomies and labor market data, improving how we represent and reason about the world of work.
  • Collaborate with Engineering to move models into production reliably, and monitor and improve them once they are live.
  • Translate messy, real-world data into clear findings and recommendations that the team and customers can act on.

Requirements

  • Strong applied data science experience (roughly 4+ years) with a track record of shipping models into a real product.
  • Explicit jobs-and-skills or workforce data experience, OR experience with closely related data where there is a clear pathway to apply it to workforce problems.
  • Fluency in Python and SQL.
  • Solid grounding in machine learning, NLP, and recommendation/matching techniques.
  • Comfort working with large, imperfect datasets and making sound judgment calls.
  • Ability to explain a model and its tradeoffs to a non-technical audience.

Skills

  • Python
  • SQL
  • Machine Learning
  • NLP
  • Recommendation Systems
  • Matching Techniques
  • Recommender Systems
  • Ranking
  • Search at Scale
  • Skills/Occupation Frameworks (e.g. O*NET, ESCO)
  • HR/Labor Market Data
  • LLMs

Location

  • Canada
  • US
  • Remote
  • Toronto (Office: 325 Front St West)

Work Type

  • Remote
  • Full-time

Experience Level

  • 4+ years of applied data science experience

Salary/Compensations

  • USD $100,000 to $140,000 (New York)
  • CAD $110,000 to $155,000 (Toronto)

About the Company

  • At FutureFit AI, our core mission is to help more people get to better jobs faster and cheaper, with a specific focus on those facing barriers to opportunity.
  • Our work helps resolve the growing issue of economic inequality, ensuring that no one is left behind in the future of work.
  • Our AI-powered platform brings efficiency and insight to workforce development, replacing outdated systems and unlocking human potential at scale.
  • We are transforming how talent and opportunity connect.
  • We are a driven team united by a commitment to job seekers and the workforce ecosystems we serve.
  • Company Snapshot: Team: 30-50 across US and Canada (hubs in NYC and Toronto), Customers: Workforce development agencies and intermediaries, government agencies, employers, Industry: SaaS/AI technology, Funding: Bootstrapped 0-1, then raised funding led by JP Morgan, Structure: Growth, Customer Success, Product, Engineering, Data, People & Culture, Finance & Operations.
  • Our Core Principles: Be Curious, Drive to Outcomes, Raise the Bar, Speed Matters, Own It, We Over Me.

Equal Opportunity

  • We will ensure that individuals with disabilities are provided reasonable accommodation to participate in the job application or interview process, perform essential job functions, and receive other benefits and privileges of employment.
  • © FutureFit AI All rights reserved, we are proud to be an equal opportunity workplace.
  • We celebrate diversity and are committed to creating an inclusive environment for all employees.
  • We do not discriminate on the basis of race, religion, color, gender identity, sexual orientation, age, disability, veteran status, or other applicable legally protected characteristics.
  • We encourage people of different backgrounds, experiences, abilities, and perspectives to apply.