Data Scientist
Canada (Remote)
Finance – Analytics /
Regular Full-Time /
Remote
About Versapay 🚀
For growing businesses that need to accomplish more with less, Versapay’s Accounts Receivable Efficiency Suite simplifies the invoice-to-cash process by automating invoicing, facilitating B2B payments, and streamlining cash application with AI. Versapay integrates natively with top ERPs, while allowing businesses to collect with a self-serve payment portal and collaborate with customers and teammates to resolve what automation alone can’t. Owned by Great Hill Partners, Versapay’s employee base spans the U.S. and Canada with offices in Atlanta and Miami. With 10,000 customers and 5M+ companies transacting, Versapay facilitates 110M+ transactions and $170B+ in payments volume annually
Think you might be the next Veep to join? Read on!!
Our Values
⭐️ We obsess over our customers.
⭐️ We help each other.
⭐️ We embrace diversity.
⭐️ We find better ways.
⭐️ We get things done.
⭐️ We own it.
Drive innovation and fuel Versapay's growth as the primary Data Scientist. You'll have the opportunity to own the entire data science lifecycle, from identifying high-impact opportunities to deploying and optimizing models that directly influence our business strategy and bottom line. This position requires a strong foundation in data science fundamentals and a proven ability to apply those skills to a wide range of real-world business challenges.
What you'll do:
- Data Exploration and Analysis: Identify high impact business opportunities through in-depth exploration and analysis of complex datasets to uncover insights and trends.
- Model Development and Deployment: Prototype, develop, and deploy predictive and machine learning models to solve business operations challenges and support strategic decision-making.
- Experimentation and Optimization: Design and execute experiments to test hypotheses and optimize model performance.
- Data Visualization and Communication: Create clear and compelling visualizations to communicate insights and recommendations to stakeholders at all levels.
- Collaboration: Work closely with cross-functional teams, including Data Engineering, Analysts, and business stakeholders, to understand business requirements and ensure the successful implementation of data science solutions.
What you'll bring to the team:
- Experience: 3+ years of hands-on experience in a Data Scientist role, with a demonstrated track record of success in applying data science techniques to solve a variety of business problems.
- "Builder" Mentality: An ability to thrive in fast-paced environments with a track record of defining and prioritizing high-impact initiatives. Experience initiating and leading data science projects from ideation to deployment.
- Education: Master's degree or higher in a quantitative field such as Data Science, Statistics, Mathematics, Computer Science, or a related field.
- Data-driven Innovation: Proven ability to formulate clear hypotheses, design and execute experiments to test those hypotheses, and rigorously analyze the results with a strong understanding of statistical concepts.
- Empathetic Collaboration: Able to communicate both persuasively and positively - assertive with humility. Demonstrated ability to present complex concepts to non-technical audiences. Maintain high standards for verbal and written communication.
- Technical Skills
- Strong proficiency in Python, especially expertise in data manipulation and analysis libraries such as Pandas, NumPy, and Scikit-learn.
- Experience with machine learning algorithms and techniques, including regression, classification, clustering, and time series analysis.
- Familiarity with data visualization tools, such as Tableau or Power BI.
- Knowledge of SQL and experience working with relational databases, especially cloud data warehouses (e.g. Snowflake).
$125,000 - $145,000 a year
#LI-Remote
All of our Veeps live out our core values:
We look for excellence: individuals that are better than we are and not only meet our values but bring value to our teams.
Research shows that while men apply to jobs when they meet an average of 60% of the criteria, women and other marginalized folks tend to only apply when they check every box. Think you have what it takes, but not sure you check every box? Apply to the role anyways. We’d love to talk and determine together whether you could be a great fit!
We are committed to providing an environment that is inclusive and accessible. Versapay is an equal opportunity employer and considers all applicants for employment without discrimination. Please let us know if accommodation for the recruitment/interview process is required and we will work with you to make sure your needs are addressed.
