Helcim is seeking a Data Scientist to be a strategic partner in advancing our analytics capabilities. This role is a unique blend of deep technical work and high-impact stakeholder collaboration. We believe that how we show up and enable the success of our data products is just as important as building something great.

You will own the full lifecycle of our data products—from initial ideation and complex modeling to deployment, monitoring, and enabling business teams to maximize their impact. Your work will directly address some of the most exciting modeling challenges in FinTech, significantly impacting key business functions like fraud mitigation, credit risk assessment, and marketing optimizations.

This is an opportunity to join a highly collaborative team of 10 (across data platform, science, and analytics functions) where you will have accelerated career growth and the chance to shape how data is used across all our operations.

Are You Our Next Builder? 🛠️

• 3 to 5 years of industry experience in a Data Science or similar analytical modeling role.

• Demonstrated experience using statistical methods or machine learning algorithms to solve complex business problems.
• Experience collaborating on the deployment and full lifecycle maintenance of data products into a production environment.
• Proficiency in the programming languages of our analytics stack (SQL and Python) or other related languages.
• Proven ability to engage with cross-functional and non-technical stakeholders to gather requirements, communicate complex findings clearly, and drive results.

Valued Skills & Assets:

• Experience in consumer or business credit, fraud modeling, or go-to-market/marketing analytics will be a significant asset.
• Experience with visualizing and organizing data through dashboards, charts, and reports (e.g., in Metabase).
• Experience with the following technologies:
  • Google Cloud Platform (GCP) and their BigQuery Data Warehouse
  • Metabase or other business intelligence applications
  • Data transformation technologies such as dbt
  • Apache Spark or similar distributed computing platforms

Key Competencies:

• Demonstrated ability to engage with cross-functional and non-technical stakeholders to understand project objectives, gather requirements, and communicate complex data findings.
• Ability to effectively visualize and organize data through dashboards, charts, and reports.
• A proactive mindset with the ability to thrive in a fast-paced environment, prioritizing iterative technical solutions to solve complex problems.

✨ Not checking every box? Apply anyway! We value diverse perspectives and "The Way of the Helcim" over a perfect resume. If you’re a builder who chooses the harder path, we want to hear from you.

The Role: What You’ll Own 🔑

This is a hands-on role where you will be empowered to drive results:

• Design, develop, and implement production-grade data products that drive strategic business outcomes, from optimizing growth to mitigating risk.
• Partner with cross-functional teams to serve as the data science expert and liaison, treating data science as a service to enable strategic success. This involves translating complex business problems into clear analytical requirements and providing actionable, data-driven recommendations that can be used to drive results.
• Apply analytical techniques to optimize our growth and sales efforts, including providing the data and insights necessary for teams to effectively experiment on and improve conversion rates and optimizing spend for digital advertising campaigns.
• Develop and implement risk models to protect our merchants and Helcim, focusing on key areas like fraud and credit risk.
• Own the monitoring and ongoing iteration of deployed models, ensuring performance and alignment with business impact.
• Contribute to our MLOps strategy and partner with the Data Platform team to ensure data capture, cleanliness, and system development meet the high standards required for reliable, production-ready data products.

You are a proactive data professional with a track record of driving business outcomes through data products and a passion for engaging with stakeholders.