Data Scientist - L9

Data Scientist II:

On behalf of our client, Procom is searching for a Data Scientist II for a permanent role. This position is a hybrid position with 3 days onsite at our client’s Toronto office.

Data Scientist II

- Job Description:

Our client is seeking a Data Scientist II who will be responsible for developing, validating, and optimizing internal fraud and authentication models that support the organization's objective of expanding proprietary risk capabilities and reducing reliance on external vendor models. The role covers the end-to-end model development lifecycle, including data discovery, feature engineering, experimentation, model evaluation, documentation, business impact assessment, and productionization support.

This is a hands-on development role with significant responsibility for presenting results and communicating with technical and non-technical stakeholders.

Data Scientist II
- Responsibilities:

Develop, validate, and optimize machine learning and statistical models for fraud detection, authentication, identity verification, account opening, account takeover, scam detection, and related risk use cases

Lead end-to-end model development activities, including data discovery, exploratory analysis, data preparation, feature engineering, experimentation, model training, hyperparameter tuning, performance evaluation, and business impact assessment

Evaluate internal models against vendor models and existing business strategies, using fraud and risk metrics such as capture rate, false-positive rate, lift, precision, recall, stability, and customer friction

Build reproducible and well-documented analytical workflows using Python, SQL, and enterprise data platforms; support implementation and productionization with Engineering, FICO, MLOps, and platform teams

Perform model monitoring, stability and segmentation analysis, performance diagnostics, and issue investigation to identify degradation, data gaps, and remediation actions

Prepare model documentation and analytical evidence for Model Validation, Model Risk Management, governance reviews, approvals, and lifecycle management

Analyze customer, authentication, and fraud behaviour to identify emerging trends, risk gaps, feature opportunities, and areas where internal models can improve detection coverage

Prepare and deliver executive-ready presentations, technical documentation, reports, and business impact summaries for technical and non-technical audiences

Lead cross-functional discussions to align stakeholders on data requirements, model scope, success criteria, risks, dependencies, timelines, implementation considerations, and next steps

Contribute to continuous improvement of internal modeling standards, reusable analytical frameworks, development practices, and proprietary fraud and authentication capabilities

Data Scientist II
- Mandatory

Skills:

Undergraduate or graduate degree in Data Science, Statistics, Mathematics, Computer Science, Engineering, or a related quantitative field3-5+ years of experience in data science, machine learning, statistical modeling, or advanced analytics

Strong hands-on proficiency in Python, SQL, machine learning, statistical analysis, feature engineering, and data visualization

Experience developing and evaluating predictive models in a business or production-oriented environment

Strong presentation, written communication, and stakeholder management skills

Ability to explain technical methods, model results, limitations, and business impact to different audiences

Ability to independently manage development activities across multiple initiatives in a fast-paced environment

Data Scientist II – Nice-to-Have

Skills:

Experience with authentication, identity verification, or account takeover/scam detection use cases

Familiarity with model governance and Model Risk Management processes

Exposure to enterprise data platforms and MLOps/productionization workflows

Experience collaborating with Model Validation and Risk teams

Data Scientist II – Assignment Length:

This is a permanent position.

Data Scientist II

- Start Date:

ASAP.Data Scientist II
- Assignment

Location:

Hybrid 3 days on site, Toronto, Ontario This posting is for an existing vacancy.

This employer uses both human and technology-assisted tools to support candidate screening and assessment. Final hiring decisions are made by people.