Verafin – Senior Data Scientist

We’re looking for a Senior Data Scientist to join our Machine Learning Platform team, reporting to the Director – Software Development. In this role, you’ll help shape how we harness Nasdaq Verafin’s cloud‑scale data to design and deliver analytics that power our financial‑crime‑fighting network, advancing solutions that detect and prevent fraud and money laundering for institutions worldwide! 

You’ll fit right in if you’re data‑driven, curious, and collaborative, love working across teams and time zones, and get energy from tackling non‑routine analytical challenges that turn insights into meaningful product and business outcomes on a global scale! 

What You’ll Do 

• Analyze real and experimental data to derive quantitative insights  

• Contribute to data science initiatives through the identification of problems, design of solutions, and development of prototypes used to validate outcomes  

• Devise solutions for a variety of non-routine analysis problems  

• Work with talented, knowledge-driven individuals and share your ideas across the team  

• Assist with data-driven decisions based on project outcomes  

• Engage in continuous learning and knowledge exchange: ask questions, share expertise, and support team development. 

What You’ll Bring 

• Master's degree in Computer Science, Mathematics, Statistics, or a related quantitative field 

• 2+ years of industry experience in Data Science, Machine Learning, or a similar discipline 

• Proficiency in SQL, Python (including major data science libraries), and familiarity with Java, all in production environments 

• Hands-on experience with designing, developing, deploying and maintaining distributed computing solutions using PySpark or Ray for data analysis and model training 

• Hands-on experience with Terraform and machine learning operations technologies on AWS ecosystem such as SageMaker, S3, Lambda, and EMR jobs 

• Strong analytical and problem-solving skills, with creativity to tackle complex challenges 

• Fluency in communicating technical concepts clearly to diverse audiences and collaborate across teams 

• Experience creating impactful data visualizations and applying statistical/mathematical techniques 

Nice to Have 

• Experience in the banking or financial domain 

• Experience developing in Scala 

• Strong understanding of statistical hypothesis testing to apply them in data sampling, bias analysis, A/B testing 

• Research experience demonstrated through publications in academic journals or conferences 

This position will be located in St. John's or Toronto, and offers the opportunity for a hybrid work environment at least 3 days a week in-office, subject to change, providing flexibility and accessibility for qualified candidates. 

This posting will close on December 12th at 11:59 PM NST 

Kindly note that interviews and onboarding for this role are scheduled to begin in 2026.