Senior Data Scientist

Job not on LinkedIn

🔥 0 minutes ago

🇨🇦 Canada – Remote

💵 $175k - $250k / year

⏰ Full Time

🟠 Senior

📊 Data Scientist

👻 Ghost score 9%

What it means: how likely this posting is sitting open without active hiring.How to read it: 60% or higher means we think this is a ghost. Lower scores are less of a worry.How we score it: age, reposts, open roles vs team size, how fast jobs close, and whether pay is listed.Fine print: an estimate from public data, not a judgment of the company. Real jobs can score high, so treat it as a hint, not a fact.

Apply Now

Find Similar Remote Jobs

Set Up Email Alert For New Jobs

📊 Check your resume score for this job

Improve your chances of getting an interview by checking your resume score before you apply.

Upload Resume

Oscilar

WebsiteLinkedInAll Job Openings

51 - 200 employees

Founded 2021

💼 Consulting

🏥 Healthcare

⚖️ Legal

Consulting • Healthcare • Legal

Oscilar is a risk management platform that focuses on fraud defense, credit underwriting, onboarding risk, and AML compliance for financial institutions. Through its advanced AI Risk Decisioning™, Oscilar enables organizations to make faster and more intelligent risk decisions, monitor customer journeys, and ensure regulatory compliance seamlessly. Oscilar's platform provides comprehensive analytics and proactive detection capabilities, tailored to meet the unique risk needs of banks, fintechs, and credit unions.

📋 Description

• Develop and implement advanced fraud detection models using machine learning and statistical techniques • Collaborate with engineering, product, and operations teams to design and implement fraud detection systems and processes • Analyze large volumes of data to identify patterns, trends, and anomalies indicative of fraudulent behavior • Develop data-driven insights to improve fraud prevention strategies • Evaluate, optimize, and update existing fraud detection models and systems as fraud trends and tactics change • Stay current with advancements in fraud detection, data science, and machine learning • Apply new knowledge to enhance fraud prevention capabilities • Communicate complex data analysis and model performance results to technical and non-technical stakeholders • Drive data-driven decision-making across the organization • Ensure data privacy and security compliance in fraud detection and data analysis • Help build out Oscilar's ML stack as an early member of the ML team

🎯 Requirements

• 3+ years of experience in data science, machine learning, or a related field, with a focus on fraud prevention and/or anti-money laundering • Proficiency in Python • Fluency in cloud development (AWS, GCP, Azure, etc.) and MLOps is a plus • Strong knowledge of machine learning algorithms and statistical techniques, with a focus on their application in fraud detection • Experience working with large datasets using distributed systems like Apache Spark and Dask • Experience handling data cleaning, data quality, data transformation, and feature engineering at scale • Excellent analytical and problem-solving skills, with the ability to derive actionable insights from complex data • Strong communication skills, with the ability to explain complex concepts and findings to both technical and non-technical audiences • Ability to work independently and collaboratively in a fast-paced, dynamic startup environment • Experience in the fintech, marketplaces, or financial services industry is preferred • Knowledge of current fraud tactics and trends, as well as experience with fraud detection tools and systems, is preferred

🏖️ Benefits

• Competitive salary and equity packages, including a 401k • Remote-first culture — work from anywhere • 100% Employer covered comprehensive health, dental, and vision insurance with a top tier plan for you and your dependents (US) • Unlimited PTO policy • AI First company; both Co-Founders are engineers at heart; and over 50% of the company is Engineering and Product • Family-Friendly environment • Regular team events and offsites • Unparalleled learning and professional development opportunities • Making the internet safer by protecting online transactions