Senior Data Scientist

We are seeking a highly skilled and motivated Senior Data Scientist to join our Cyber Analytics team within the Security Solutions Data Science organization. This role is critical to driving advanced analytics initiatives, improving fraud detection capabilities, and supporting strategic decision-making across cybersecurity and payment fraud domains. Key Responsibilities Lead data science projects focused on cyber analytics and fraud detection that will guide strategic decisions and uncover optimization opportunities. Build, develop, and maintain innovative data-driven analytical solutions, including predictive models and machine learning algorithms, on large volumes of data to support analytics and reporting needs across products, markets, and services. Identify compromised payment accounts through internal and external data feeds, scanning for anomalies in payments at merchant locations, tracking common points of purchase for compromised cards, and assessing additional data sources for value-add. Collaborate with cross-functional teams including product, engineering, and operations to deliver scalable solutions. Translate clients and stakeholder needs into technical analyses and/or solutions. Communicate results and business impacts of insight initiatives to senior leadership and stakeholders. Job Title: Senior Data Scientist. Location: Toronto, ON - Canada (Hybrid). Duration: 18+ Months Contract with potential extension. Required Skills & Experience Experienced in building machine learning models in Python and working with large-scale distributed data processing frameworks, such as Apache Spark and Hadoop. Experienced in data management and data mining with SQL, optimizing performance, building data pipelines, and quantitative analysis. Familiarity with the payment card industry, fraud, and cyber security. Experience with cloud platforms, such as AWS, is a plus. A reasonable, good-faith estimate of the minimum and maximum hourly wage for this position rate may differ based on current location & experience level. Benefits will be available, and details are available at the following links: Benefits Details: https://view.onedigital.com/harveynash2026contractors 401K Plan: Our employees work hard, which is why Harvey Nash is proud to contribute to their hard-earned savings with a 401(k)-retirement plan that includes a 10% company match on all deferrals. We also offer a Roth 401(k) for even more flexibility. Employees 21 years of age or older, and have completed 3 months of service, are eligible to participate.

Lead data science projects focused on cyber analytics and fraud detection to guide strategic decisions. Build and maintain innovative predictive models and machine learning algorithms to identify compromised payment accounts.

Requires experience building ML models in Python and working with distributed frameworks like Spark and Hadoop. Proficiency in SQL for data management and familiarity with the payment card and cybersecurity industries is essential.

• 401k

• SQLPreferred
• Machine learningPreferred
• Amazon Web ServicesPreferred
• PythonPreferred

Identified from the job description. Confirm important requirements above.

• Machine Learning
• Python
• Apache Spark
• Hadoop
• SQL
• Data Mining
• Data Pipelines
• Quantitative Analysis
• AWS
• Cyber Security
• Fraud Detection
• Predictive Modeling
• Cyber Analytics
• Distributed Data Processing
• Data Management

• Data & Analytics
• Security & Safety
• Technology
• Engineering
• Finance & Accounting

Minimum experience

5+ years

Apply by

Sep 23, 2026

Posting language

English

Working hours

40 hours per week

Seniority

Mid-Senior level

Application method

Direct apply is available