Data Scientist

GeoComply; Canada; Hybrid; CAD 80,000 - 100,000; Full time

Job summary

A leading technology company in Canada seeks a data scientist to develop and deploy machine learning models for fraud detection and geolocation verification. The candidate should have a strong background in statistics, programming in Python, and experience with machine learning libraries. A bachelor's degree in a quantitative field is required, with preferred experience in predictive modeling. Join a collaborative team that embraces innovation and diversity, contributing to key projects in a hybrid work environment.

Benefits

Hybrid working mode

Professional development budget

20 annual leave days

Premium health insurance

Competitive salary package

Attractive bonuses

Annual company trip

Quarterly team-building activities

In-office snacks and drinks

Qualifications

• 3-5 years of experience in data science or machine learning.
• Strong experience deploying models in production.
• Ability to work independently on complex problems.

Responsibilities

• Design and deploy machine learning models for fraud detection.
• Analyze complex fraud patterns to improve detection.
• Collaborate with cross-functional teams on ML projects.

Skills

Python programming

Machine learning libraries (Scikit-learn, XGBoost)

Data analysis

SQL querying

Model evaluation metrics

Statistics and probability

Data visualization tools (Matplotlib, Seaborn)

Education

Bachelor's or Master's degree in Computer Science, Statistics, or related field

Tools

Databricks

Spark

Git

Job description

About GeoComply

We’re GeoComply! We are at the forefront of geolocation, cybersecurity, and anti-fraud innovation, developing and delivering cutting‑edge technologies to help ensure regulatory compliance, combat bad online actors, alleviate user friction, and protect businesses from fraud.

Achieving significant business and revenue growth over the past three years and dubbed a tech “Unicorn,” GeoComply has been trusted by leading global brands and regulators for over ten years. Our compliance-grade geolocation technology solutions are installed on over 400 million devices and analyze over 12 billion transactions a year.

At the heart of it all is the people, united by a deep commitment to problem‑solving and revolutionizing how people and businesses use the internet to instill confidence in every online interaction. With teams across five countries, three continents, and a global customer base, we have no plans to slow down.

What You'll Do

• Build & Deploy ML Models: Design, develop, and deploy machine learning models for fraud detection, anomaly detection, and geolocation verification using supervised and unsupervised learning techniques.
• Feature Engineering & Model Optimization: Conduct feature engineering, model selection, hyperparameter tuning, and performance optimization to maximize detection accuracy while minimizing false positives.
• Analyze Complex Fraud Patterns: Investigate sophisticated fraud operations, identify behavioral patterns and anomalies, and translate findings into effective ML solutions and detection rules.
• Develop Data Pipelines: Build scalable data pipelines and preprocessing workflows to prepare large‑scale datasets for model training and inference.
• Model Monitoring & Iteration: Monitor model performance in production, conduct A/B testing, identify model drift, and implement iterative improvements based on real‑world feedback.
• Cross‑Functional Collaboration: Work closely with data analysts, engineers, and product teams to integrate ML models into production systems and translate business requirements into technical solutions.
• Research & Innovation: Stay current with ML research and industry best practices, exploring new algorithms and techniques to enhance our fraud detection capabilities.
• Documentation & Knowledge Sharing: Document model architecture, methodology, and results clearly; share insights and learnings with the broader analytics team.

What You'll Bring

• Bachelor's degree or higher in Computer Science, Statistics, Mathematics, Physics, Machine Learning, or a related quantitative field. Master’s degree preferred.
• 3‑5 years of experience in data science, machine learning, or related roles with proven experience building and deploying ML models in production environments.
• Strong programming skills in Python with extensive experience in ML libraries (Scikit‑learn, XGBoost, LightGBM, etc.) and data manipulation tools (Pandas, NumPy).
• Solid understanding of machine learning algorithms including classification, regression, clustering, anomaly detection, and time series analysis.
• Proficient in SQL with ability to write complex queries for data extraction and feature engineering.
• Experience with model evaluation metrics, cross‑validation techniques, and handling imbalanced datasets.
• Strong foundation in statistics, probability theory, and experimental design.
• Familiarity with data visualization tools (Matplotlib, Seaborn, Plotly) for exploratory data analysis and model interpretation.
• Experience with version control (Git) and collaborative development practices.
• Experience with Databricks, Spark, or other distributed computing platforms is highly desirable.
• Proficiency with terminal commands and SSH for remote server management is highly desirable.
• Strong problem‑solving skills with ability to work independently on complex, ambiguous problems.
• Excellent communication skills with ability to explain technical concepts to non‑technical stakeholders.

Bonus Points For

• Experience in fraud detection, cybersecurity, risk management, or online gaming/sports betting industries.
• Knowledge of advanced ML techniques such as ensemble methods, gradient boosting, neural networks, or graph‑based algorithms.
• Experience with Large Language Models (LLMs) and AI‑powered analytical tools; familiarity with Claude Code or similar AI‑assisted development environments.
• Experience with real‑time model serving and MLOps practices (model deployment, monitoring, CI/CD for ML).
• Familiarity with cloud platforms (AWS, Azure, GCP) and containerization (Docker, Kubernetes).
• Understanding of geolocation technologies, device fingerprinting, or network analysis.
• Experience with explainable AI (SHAP, LIME) and model interpretability techniques.
• Contributions to ML communities, research papers, or open‑source projects.

Why Join GeoComply

☘ Hybrid working mode & Modern office at a prime location in District 1

☘ Professional development budget to support your growth

☘ 20 annual leave days, 5 sick leave days

☘ Premium health insurance (Bao Viet or Liberty)

☘ Social, unemployment, and health insurance contributions based on full salary

☘ Competitive salary package, 100% salary during the probation period

☘ Attractive bonuses (13th month, business performance, equity plans)

☘ Annual salary performance review

☘ Free parking

☘ Annual company trip & Year‑end party

☘ Quarterly team‑building activities

☘ In‑office snacks and drinks (snacks, coffee, juice, milk, etc.)

☘ International working environment

Apply Now!

Interested in joining our team? Send us your resume and a cover letter. We can’t wait to meet you!

Commitment to Diversity and Equity

If you don’t tick every box in this job description, please don’t rule yourself out. Research suggests that women and other people in under‑represented groups tend to only apply if they meet every requirement. We focus on hiring people who value inclusion, collaboration, adaptability, courage, and integrity rather than ticking boxes, so if this resonates with you, please apply.

Search Firm Representatives Please Read Carefully

We do not accept unsolicited assistance from search firms for employment opportunities. All CVs or resumes submitted by search firms to any employee at our company without a valid written agreement in place for this position will be considered the sole property of our company. No fee will be paid if a candidate is hired by GeoComply due to an agency referral where no existing agreement exists with the GeoComply Talent Acquisition Team. Where agency agreements are in place, introductions must be through engagement by the GeoComply Talent Acquisition Team.

Why GeoComply?

Joining the GeoComply team means you’ll be part of an award‑winning company to work, learn and grow. We are fast‑paced, high‑impact, and have a can‑do team culture.

To be successful in our organization, you need an eager attitude, professionalism, and the confidence to willingly work to prove yourself and your ideas, and earn the trust of the organization.

Here’s why we think you’d love working with us.

We’re working towards something big

We’ve built a reputation as the global market leader for geolocation compliance solutions for over 10 years. We’re trusted by customers from all over the world, and the next few years will be particularly exciting as we continue to scale across new markets.

Our values aren’t just a buzzword

Our values are the foundation for what we as a company care about most. They signify the commitment we make to each other around how we act and what we stand for. They are our north star as we work together to build a company we’re all proud to be a part of. Learn more, here.

Diversity, equity, and inclusion are at the core of who we are

In collaboration with our team and external partners, we promote DEI in our recruitment and hiring practices; scholarships and financial aid; training and mentorship programs; employee benefits, and more.

Learning is at the heart of our employee experience

At GeoComply, we foster an environment that empowers every employee to gain the knowledge and abilities needed to perform at their very best and help our organization grow. From a professional development budget to local training opportunities, knowledge‑sharing sessions and more, we are continually investing in employee career growth and development.

We believe in being a force for good

We profoundly care about our impact on the world and strive to make meaningful contributions to the communities we work and live in. Our Impact division focuses on philanthropic and social responsibility initiatives, including supporting our local communities, advancing equality, and harnessing our technology to protect vulnerable groups. Learn more, here.

We care about our team

Our GeoComply team is talented, driven and hard‑working, and is known for its positive attitude and energy. At GeoComply, we take care of our employees with the total package. Team members are generously rewarded with competitive salaries, incentives, and a comprehensive benefits program.

We value in‑person collaboration

GeoComply culture thrives on a dynamic mix of in‑person energy and independent focus and we champion a hybrid work model that blends the energy of in‑person collaboration with the flexibility to work from home. Our 3‑day in‑office policy fosters teamwork and innovation, while also recognizing the importance of individual work styles and needs.

At GeoComply, we live our value of Act with Integrity. Our workplace is built on mutual respect and inclusion, and we welcome applicants of all backgrounds, experiences, beliefs, and identities. Creating an accessible interview experience for all candidates is important to us. If you have any requests (big or small) throughout our hiring process, please don’t hesitate to let us know so we can do our best to prioritize your needs.

We care about your privacy and want you to be informed about your rights. Please read our Applicant Privacy Notice before applying for the position.