Sr. Data Scientist I

Job description

***Why TrueML?*** TrueML is a mission-driven financial software company that aims to create better customer experiences for distressed borrowers. Consumers today want personal, digital-first experiences that align with their lifestyles, especially when it comes to managing finances. TrueML’s approach uses machine learning to engage each customer digitally and adjust strategies in real time in response to their interactions. The TrueML team includes inspired data scientists, financial services industry experts and customer experience fanatics building technology to serve people in a way that recognizes their unique needs and preferences as human beings and endeavoring toward ensuring nobody gets locked out of the financial system. As a Sr. Data Scientist, you aren’t just building models; you’re an architect of decision-making. You possess a battle-tested understanding of both patterns and anti-patterns, navigating the "why" behind the data to drive our automated debt collection strategy forward. We’re looking for someone with an **extreme ownership** mindset who can identify tech debt, predict where code might break before it does, and mentor the next generation of data experts. You’ll be the go-to expert for critical portions of our codebase, translating complex business requirements into high-impact technical reality. ### Work-Life Benefits - Unlimited PTO - Medical benefit contributions in congruence with local laws and type of employment agreement ### What You'll Do: - **Drive the Roadmap:** Contribute innovative ideas to the technical and product roadmaps, estimating effort for discovery and high-velocity execution. - **Collaborate & Translate:** Work closely with product managers and engineers to turn abstract business needs into scalable technical implementations. - **Predict & Prevent:** Proactively solve code challenges by anticipating breaks and considering the downstream impacts of your solutions. - **Own the Lifecycle:** Take full end-to-end responsibility for complex initiatives, from initial scoping with stakeholders to production deployment and maintenance. - **Lead by Example:** Improve departmental code quality through thoughtful, detailed code reviews and by establishing team-level best practices for AI-assisted development. - **Innovate:** Stay ahead of industry trends, introducing new techniques and keeping a rigorous record of tech debt with clear paths to resolution. - **Solve Complex Problems:** Handle the most challenging issues in your area of expertise independently, serving as the technical authority for the team. ### Who You Are: - **The Seasoned Pro:** You have 5+ years of relevant experience and a strong foundation in statistics, machine learning, or a similar quantitative field. - **The Mentor:** You find fulfillment in pairing with other engineers to share knowledge and support team members in preventing burnout. - **The Communicator:** You can facilitate high-stakes meetings with both technical and non-technical stakeholders, leaving everyone with a clear sense of the "so what." - **The Strategist:** You understand the business impact of your projects and can effectively communicate the technical roadmap to leadership. - **The Finisher:** You have the grit to see complex epics through to completion, valuing even the "undesirable" work if it helps the team move faster. ### What You Bring: - **Cloud & ML Infrastructure:** Proven experience leveraging **AWS** (S3, Lambda) and **SageMaker** to build, train, and deploy machine learning models at scale. - **Technical Proficiency:** Mastery of Python and deep experience with ML techniques like regression, classification, and optimization. - **Architectural Wisdom:** The ability to make well-reasoned design trade-offs and provide high-level advice across multiple components of a domain. - **AI-Forward Mindset:** Experience using AI tools to rapidly prototype features and the ability to define validation standards for AI-generated code. - **Experimentation Expertise:** A solid understanding of product experiment design, analytics, and statistically rigorous analysis. - **Tooling Fluency:** Familiarity with modern ML frameworks (e.g., TensorFlow, PyTorch) and libraries like Pandas/Numpy. - **Operational Excellence:** Experience building model development pipelines and productionizing models at scale.