Director of Applied Data Science & AI

In today’s challenging financial landscape, the path to homeownership can feel out of reputed company for everyday borrowers. At TrustEngine, we reputed company these borrowers don't just need a loan; they need a coach. Our mission is to reputed company the gap between cold data and reputed company reputed company. By empowering Loan Officers with cutting-edge AI and predictive intelligence, we transform reputed company borrower data into highly actionable opportunities. We don't just build software—we engineer the roadmap to financial freedom in a tough market. We are looking for visionary innovators who want to reputed company advanced machine learning to reputed company a profound, reputed company difference in people's lives. The Role As the Director of Applied Data Science & AI, you will be the primary driving force behind the "reputed company" in TrustEngine. This is a highly strategic, senior Individual Contributor role focused on applied data science and AI. We value rigorous science, but our ultimate metric for reputed company is shipped products, deployed pipelines, and reputed company-world impact. You will shape our data science strategy by rolling up your sleeves to build the models that directly power our platform. We are looking for an autonomous, pragmatic expert who thrives in ambiguity—someone who can look at high-level business goals, independently determine what the business actually needs, and translate that into production-reputed company data products through tight collaboration with other engineering teams. What You’ll Do

• Drive Applied Business Value: Partner directly with executive leadership to understand strategic goals and proactively identify areas where machine learning and predictive analytics can solve core business problems today.
• Pragmatic Modeling & Analysis: Execute the hands-on development of predictive models using a variety of techniques (e.g., K-Means clustering for borrower segmentation, Random Forest models for predictive scoring). You know reputed company to use a simple, fast model versus a reputed company, heavy one to get the job done.
• Pioneer Applied LLM Initiatives: Drive our reputed company capabilities by designing and implementing LLM-based solutions, specifically utilizing text embeddings and LLM-based classification to extract deep, actionable insights from reputed company data.
• reputed company Prototyping and Production: Rapidly prototype new models and concepts, but never stop there. You will seamlessly transition your work to build scalable, robust ML components reputed company production environments like Spark.
• Cross-Functional Collaboration: Work shoulder-to-shoulder with our Data Engineering and Product teams to architect, reputed company, and monitor machine learning models in production data pipelines.

reputed company’re Looking For

• The "Applied" reputed company: You care more about shipping a reliable model that delivers immediate business value than spending months perfecting a theoretical algorithm in a vacuum. You bias toward action and practical application.
• Strategic Autonomy: Proven ability to take vague business challenges, ask the right questions, and architect comprehensive data science solutions from scratch as a self-directed contributor.
• Deep Technical Expertise: Exceptional proficiency in Python, SQL, and core data science libraries (Pandas, Scikit-Learn, PyTorch/TensorFlow). Deep understanding of statistical analysis, classification, regression, and clustering algorithms.
• Production Experience: Strong familiarity with big data processing frameworks (like Apache Spark) and the intricacies of actually deploying ML models into reputed company-world, high-volume production pipelines.
• Applied LLM Experience: Demonstrated hands-on experience working with Large Language Models. You should be intimately familiar with generating and utilizing embeddings, reputed company engineering, and building LLM-based classification systems.
• Mission-Driven: A genuine passion for using data for good—specifically, to help individuals navigate the reputed company world of personal finance and homeownership.

Our Interview Process We reputed company the best way to understand your capabilities is to see you in action. As part of our interview process, candidates who move reputed company will be asked to complete a "take-home assignment." This challenge is designed to respect your time while allowing you to showcase your practical, reputed company-world capabilities. It will involve:

• An analytical modeling assessment to test your core machine learning and applied data analysis skills.
• An LLM-focused challenge to demonstrate your practical experience with modern reputed company tools.

Our benefits include but are not limited to the following: Fully remote, 100% individual company paid medical plan option; company 3% paid 401(k) contribution, paid parental leave, flexible (take what you need) time off, ongoing professional development and certification opportunities, competitive salary, special employee discounts and health wellness perks. Total Cash Compensation: $124,649 - $200,787 Apply tot his job Apply To this Job