Job Description

About RockWallet

Rock Solid. Rock Confident.

RockWallet is a financial technology company made up of people who think differently about how digital assets can be managed, accessed, and used.

At RockWallet, our vision is for anyone to be able to access and thrive in the digital economy. It's our mission to help you make the most of the opportunities available by building products that empower people to navigate digital asset usage easily, securely, and with confidence. Our self-custodial, multicurrency wallet puts you in charge of your digital assets. RockWallet's app makes it quick and easy to buy, use, store, and swap top cryptocurrencies, all in one place, on your mobile. RockWallet is registered with FinCEN as a Money Service Business. Find out more here at www.rockwallet.com.

Want to join us? We're expanding our team globally, looking for the right people to help us explore further.

We are seeking a Data Scientist to join our Data Team and help advance our analytics and machine learning capabilities.

About the Role

The Data Scientist will work on high-impact projects, such as modelling customer behaviour, detecting anomalies and risks, and forecasting market and operational trends.

You will be part of the Reporting and Analytics team reporting to the Manager, Reporting & Analytics. This role bridges analytical rigor with business impact -- combining statistical modelling, experimentation, and predictive analytics to generate actionable insights and scalable data science solutions.

This role is remote with a preference for applicants based in Canada and in the Eastern Time Zone (ET).

Key Responsibilities

Develop and maintain predictive and behavioral models to understand and anticipate customer actions (e.g., engagement, churn, conversion). Design and deploy anomaly detection systems to monitor product, marketing, and financial data in real time. Build and evaluate forecasting models for key business metrics such as volume, revenue, and customer activity. Work with the data engineering team to productionize models and integrate insights into dashboards and internal systems. Analyze large datasets from multiple sources to uncover hidden trends and optimize decision-making. Collaborate with product, marketing, and operations teams to define measurable success metrics and translate findings into business recommendations. Experiment with new data science techniques, tools, and frameworks to continuously improve analytics capabilities. Present complex analyses and model results in a clear, actionable way to non-technical stakeholders.

Candidate Profile & Qualifications:

3 to 5+ years of experience as a Data Scientist, Machine Learning Engineer, or Quantitative Analyst. Strong skills in Python (pandas, scikit-learn, statsmodels, PySpark, etc.) and SQL. Proficiency in statistical modeling, forecasting, and time-series analysis. Hands-on experience with anomaly detection, classification, regression, and clustering techniques. Solid understanding of data preprocessing, feature engineering, and model evaluation. Experience with AWS data stack (S3, Redshift, Glue, SageMaker) or similar cloud environments. Familiarity with data visualization tools such as QuickSight, Power BI, or Tableau. Excellent analytical, communication, and problem-solving skills. Degree in Data Science, Computer Science, Statistics, Mathematics, or a related quantitative field. Must be flexible and able to work in a fast-paced, dynamic environment and adapt to changing priorities.

Nice to Have

Experience working with transactional or fintech data. Exposure to marketing analytics, fraud detection, or customer segmentation models. Familiarity with ML Ops, model monitoring, and lifecycle management. Experience with natural language processing (NLP) or LLM-based analytics.

Benefits

Work from home Benefits A competitive salary Diverse and dynamic work environment Work-life balance and support for career development

How to Apply:

Please submit your resume in our preferred file - .PDF not in .DOC. Thank you.

We thank all interested applicants; however, only those under consideration will be contacted.

RockWallet, LLC is an Equal Employment Opportunity/ Veterans/Disabled/LGBT and Affirmative Action employer. We are committed to diversity and building a team that represents a variety of backgrounds, perspectives, and skills. We do not discriminate, and all decisions we make are made on the basis of qualifications, merit, and business need. Our goal is to be one global diverse team that is representative of our customers, in an inclusive environment where we can continue to innovate and grow together.