Key required skill - Experience with Domo (data science, automation, or analytics workflows)
Industry: FinTech / Digital Assets / Financial Services
A fast-growing financial technology company is seeking a Data Scientist to join its analytics and engineering organization. This role focuses on building predictive models and data products that directly impact revenue, growth, and operational decision-making across Finance, Marketing, Sales, and Operations.
You’ll partner closely with senior data leadership and cross-functional stakeholders, working in a modern data stack to turn complex datasets into actionable, business-driven insights.
What You’ll Do
- Build and deploy predictive and forecasting models tied to revenue, sales, and financial performance
- Perform statistical modeling, feature engineering, and experimentation (A/B testing, backtesting)
- Collaborate with Data Engineering on scalable, production-ready pipelines
- Develop executive-level analytics and dashboards to support decision-making
- Translate ambiguous business questions into measurable, data-driven outcomes
What We’re Looking For
- 5+ years of experience in Data Science, Machine Learning, or Advanced Analytics
- Strong Python (pandas, scikit-learn; TensorFlow/PyTorch a plus) and SQL
- Hands-on experience with Snowflake and dbt
- Proven ability to build predictive / forecasting models with real business impact
- Comfortable working in a fast-paced, cross-functional environment
- Experience with Domo (data science, automation, or analytics workflows)
Nice to Have
- Background in FinTech or regulated industries
- Exposure to LLMs, GenAI, or MLOps
- Experience with revenue, marketing, or sales analytics
