Senior Data Scientist

This is a fully remote position, open to applicants in Canada.

📋 Description

• Create and execute sophisticated fraud detection models utilizing machine learning and statistical methodologies.

• Partner with engineering, product, and operations teams to develop and implement systems and processes for fraud detection.

• Examine extensive datasets to uncover patterns, trends, and anomalies that signify fraudulent activity.

• Generate data-driven insights to enhance strategies for fraud prevention.

• Assess, refine, and refresh existing fraud detection models and systems in response to evolving fraud trends and tactics.

• Remain updated on developments in fraud detection, data science, and machine learning.

• Utilize new knowledge to bolster fraud prevention measures.

• Present complex data analyses and model performance findings to both technical and non-technical stakeholders.

• Promote data-driven decision-making throughout the organization.

• Ensure compliance with data privacy and security in fraud detection and data analysis.

• Contribute to the development of Oscilar's machine learning infrastructure as an early member of the ML team.

⛳️ Requirements

• Over 3 years of experience in data science, machine learning, or a related field, concentrating on fraud prevention and/or anti-money laundering.

• Proficient in Python programming.

• Familiarity with cloud development (AWS, GCP, Azure, etc.) and MLOps is advantageous.

• Strong understanding of machine learning algorithms and statistical techniques, particularly their application in fraud detection.

• Experience with large datasets using distributed systems such as Apache Spark and Dask.

• Background in data cleaning, data quality, data transformation, and feature engineering at scale.

• Exceptional analytical and problem-solving abilities, capable of deriving actionable insights from complex data.

• Strong communication skills, able to clarify complex concepts and findings to both technical and non-technical audiences.

• Ability to work both independently and collaboratively in a fast-paced, dynamic startup environment.

• Previous experience in the fintech, marketplaces, or financial services sectors is preferred.

• Awareness of current fraud tactics and trends, along with experience using fraud detection tools and systems, is preferred.

🏝️ Benefits

• Competitive salary and equity packages, including a 401k.

• Remote-first culture — work from any location.

• Comprehensive health, dental, and vision insurance fully covered by the employer, featuring a top-tier plan for you and your dependents (US).

• Unlimited PTO policy.

• An AI-first company; both Co-Founders are engineers by training, with over 50% of the workforce in Engineering and Product roles.

• Family-friendly workplace.

• Regular team events and offsite gatherings.

• Exceptional learning and professional development opportunities.

• Contributing to a safer internet by safeguarding online transactions.