Data Scientist

ManpowerGroup • Cherry Hill, NJ • 3h ago

Data Scientist

1+ year contract

Hybrid - 2 days a week in Toronto

We are seeking a Data Scientist to design and optimize next-generation alerting and triage capabilities across fraud, security, and operational risk domains.

This role is centered on advancing alerting and automation capabilities by building data-driven systems that improve detection accuracy, reduce noise, and enable efficient, scalable triage.

You will play a key role in evolving from manual, reactive alert monitoring ? proactive, AI-driven detection and triage , supporting enterprise initiatives such as real-time anomaly detection and multi-agent AI frameworks.

What You'll Do

Design and optimize alerting thresholds and anomaly detection logic for large-scale monitoring systems (e.g., volume, pass rate, fail rate signals).

Analyze alert data to identify false positives, missed detections, and signal gaps , and implement improvements to enhance alert quality.

Develop and apply machine learning models (anomaly detection, clustering, pattern recognition) to detect abnormal behavior across datasets.

Enable GenAI-powered and agent-based workflows to automate alert analysis, enrichment, and triage recommendations.

Translate analyst workflows into automated, scalable solutions , reducing repetitive manual investigation effort.

Build and maintain data pipelines and analytical workflows in Databricks and enterprise data platforms to support near real-time alerting.

Define and track alert performance metrics (precision, noise reduction, escalation quality) to continuously improve signal effectiveness.

Ensure all models, thresholds, and outputs are explainable, traceable, and audit-ready , aligned with regulatory and governance requirements.

What You Bring

Required Skills & Experience

Strong experience in data science, analytics, or machine learning

Proficiency in Python and SQL for data analysis and model development

Hands-on experience with Databricks and large-scale data platforms (e.g., Rahona or equivalent)

Solid understanding of:

Anomaly detection techniques

Threshold calibration and signal optimization

Model behavior and performance evaluation

Experience working with alerting systems, monitoring data, or operational metrics

Ability to translate complex data into clear, actionable insights

Technical Requirements

Must Have:

Python, SQL

Databricks (or similar data platform)

Machine Learning (anomaly detection, classification, clustering)

Understanding of AI / GenAI concepts and agent-based architectures

Dashboards:

Experience with Power BI or similar visualization tools

Nice to Have:

Exposure to Splunk, Datadog, TMX, BioCatch, or similar alerting platforms

Experience in fraud, cybersecurity, or operational risk analytics

Experience working in regulated or audit-driven environments

Experience with GenAI or agentic AI workflows (e.g., automation, recommendation systems)

Exposure to risk, compliance, or regulatory monitoring frameworks

Why Join Us

Work on cutting-edge AI-driven alerting and triage systems

Direct impact on fraud detection, risk monitoring, and operational resilience

Opportunity to build and scale enterprise-wide alert intelligence frameworks

Collaborate with cross-functional teams across data, engineering, risk, and security

Impact You'll Make

Enable proactive detection across critical customer and operational journeys

Increase analyst efficiency by automating low-value, repetitive tasks

Strengthen audit-ready, traceable, and scalable monitoring frameworks

ManpowerGroup is committed to providing equal employment opportunities in a professional, high quality work environment. It is the policy of ManpowerGroup and all of its subsidiaries to recruit, train, promote, transfer, pay and take all employment actions without regard to an employee's race, color, national origin, ancestry, sex, sexual orientation, gender identity, genetic information, religion, age, disability, protected veteran status, or any other basis protected by applicable law.

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