Blue Onion, a YC-backed, women-led fintech startup, is quietly building the financial data infrastructure that CFOs will rely on to power the next generation of AI in finance.

Blue Onion is the data backbone for tomorrow’s AI-powered finance teams — a subledger platform that transforms messy, scattered transactions into clean, reconciled, and automation-ready data.

Who We Are:

Blue Onion is reimagining data infrastructure for finance and accounting teams. We're building a new paradigm for how companies manage financial data - from monolithic software that can take a year to implement to flexible, API-first solutions.

About the Role:

We’re seeking a Senior Data Scientist to help shape the future of our platform, working at the intersection of financial data, machine learning, and cutting-edge analytics. In this role, you’ll drive meaningful insights, develop AI-powered solutions, and work closely with product and engineering to deliver scalable systems that solve real-world problems. As we grow, we want you to grow too—this role is perfect for someone who’s passionate about eventually building and leading a team of data scientists to amplify our mission.

What You’ll Do:

AI Innovation:

• Design, train, and deploy predictive models for use cases like anomaly detection, risk assessment, and trend forecasting.
• Develop applications using LLMs to parse and extract insights from unstructured data, streamlining financial workflows.
• Stay at the forefront of AI advancements to identify opportunities for implementing novel techniques in our platform.

Data Science Leadership:

• Build, optimize, and maintain data pipelines and architectures to ensure scalability and performance.
• Conduct in-depth analyses to uncover insights and deliver data-driven recommendations for strategic decisions.
• Collaborate with engineering and product teams to integrate models seamlessly into the platform.

Team Growth: Mentor junior team members and establish best practices to foster a high-performing data science culture.

Automation & Tools: Develop tools and frameworks that enhance the efficiency of internal teams and improve the customer experience.

What We’re Looking For:

Experience: 3+ years of hands-on experience in data science, machine learning, or a related field, ideally in a fast-paced or startup environment.

Technical Skills:

• Proficiency in Python, R, and SQL.
• Strong expertise in machine learning frameworks (e.g., TensorFlow, PyTorch, Scikit-learn).
• Familiarity with cloud platforms such as GCP (BigQuery preferred), AWS, or Azure.
• Experience with unstructured data, LLMs, and natural language processing techniques.

Mindset:

• A problem-solver who can translate messy, real-world challenges into elegant, scalable solutions.
• A collaborator who thrives in cross-functional teams and communicates effectively with technical and non-technical stakeholders.
• A future leader with a passion for building and growing a team.

Why You’ll Love Working Here:

• Impact: Your work will directly shape the future of how companies handle financial data.
• Ownership: We give you the autonomy to drive projects and see your ideas come to life.
• Growth: We’re growing fast, and we want you to grow with us.
• Innovation: You’ll be tackling some of the toughest AI problems, from LLM-based unstructured data parsing to in-house predictive modeling.

Compensation & Benefits

• Base Salary of $140,000 – $190,000
• Remote-first team with flexible hours
• Comprehensive benefits package, including 401(k), health, dental, and vision insurance
• Unlimited PTO, paid parental leave, and paid holidays

• Our application runs on a tech stack that is a mixture of Python and Ruby on Rails + React
• For our backend data processing, we use Apache Airflow.
• For our web application, we use Ruby on Rails, with a Typescript/React single-page-app frontend, powered by a GraphQL API