Build and productionize ML systems for personalization, search, and recommendations. Apply statistical and ML models using Python and SQL, collaborate with stakeholders, and measure business impact across cloud environments.
About the role
As a Data Scientist at Sporty, you will build and productionize data-driven ML systems that enhance personalization, search, and recommendation experiences, with a clear focus on measurable business impact. The role combines advanced analytics, Python-based modelling, and cloud engineering to solve real-world problems at scale in a fast-paced product environment.
Our Stack
- SQL
- Python
- AWS/Azure/GCP
What you'll be doing
- Utilize advanced algorithms and data mining techniques to build personalized recommendation systems, optimizing product and service recommendations to enhance user experience and improve business conversion rates.
- Develop and productionize ML/AI systems across multiple domains — including search ranking, recommendation, and content intelligence — that directly impact user growth and business outcomes.
What you'll bring
- Hands-on experience applying statistical and ML models to real business problems, with measurable impact on revenue or key business outcomes
- Advanced understanding of Python and the quantitative analysis ecosystem in Python
- Strong foundation in probability theory, statistics, machine learning, and linear algebra
- 2+ years of experience as a data scientist, quantitative researcher, quantitative analyst, or another relevant role
- Knowledge of SQL and experience with relational databases
- Proficient with AI tools and agents as part of daily development workflow; this role regularly leverages AI-assisted development to accelerate delivery
- Degree in Applied Mathematics, Computer Science, Financial Engineering, Technology, or Engineering
- Project and stakeholder management experience is preferred
Even better if you have
- Apache Spark
- Experience working in cloud platforms (AWS, GCP, Microsoft Azure)
- Relevant knowledge or experience in the gaming industry
- Solid computer science background
What’s in it for you
- Sporty is a remote first company in pursuit of sustainability
- A competitive salary + individual performance based bonuses every quarter
- 28 days paid annual leave
- Our core working hours are 10am-3pm in your local time zone with flexibility outside of this
- Referral bonuses & flash bonuses
- Top of the line equipment
- Annual company retreats to provide great internal networking opportunities
Interview Process
- Remote video screening with our Talent Acquisition Team
- Online home assignment
- Remote video interview with Team Members (3x45 Mins)
If you're interested, we encourage you to apply! Every application is reviewed by a member of our team (AI is not used in our recruitment process), and we aim to respond within 48 hours.
Similar Jobs
.png)
Cloud • Insurance • Payments • Software • Business Intelligence • App development • Big Data Analytics
Lead and grow multiple software engineering teams to deliver Financial Management product outcomes. Set technical direction, prioritize architecture, reduce tech debt, improve delivery metrics (cycle time, MTTR, predictability), embed shift-left testing and observability, drive incident response and RCAs, and apply AI/automation to increase velocity and quality.
Top Skills:
ApigeeCi/CdConfluenceGCPGitJavaScriptJIRAKubernetesNode.jsPostgresReactRest ApisTypescript
Artificial Intelligence • Professional Services • Business Intelligence • Consulting • Cybersecurity • Generative AI
Plan and execute corporate signature events, manage budgets and timelines, coordinate internal teams and external vendors, develop event marketing strategies, evaluate event success, ensure health and safety, mentor and coach team members, build stakeholder relationships, adopt event technology, and resolve conflicts to meet client objectives.
Artificial Intelligence • Professional Services • Business Intelligence • Consulting • Cybersecurity • Generative AI
Provide technology risk consulting within Global Risk Management: analyze complex technology risk problems, propose solutions, mentor junior staff, manage deadlines, ensure compliance and high-quality risk guidance to teams and leadership.
What you need to know about the Vancouver Tech Scene
Raincouver, Vancity, The Big Smoke — Vancouver is known by many names, and in recent years, it has gained a reputation as a growing hub for both tech and sustainability. Renowned for its natural beauty, the city has become a magnet for professionals eager to create environmental solutions, and with an emphasis on clean technology, renewable energy and environmental innovation, it's attracted companies across various industries, all working toward a shared goal: advancing clean technology.
