Role Description Apartment List is looking for a Staff Data Scientist to help us attract and match the right renter with the right property at the right time. In this role, you’ll work on some of the most important data science problems across Apartment List. - Work on demand-side renter acquisition and marketing models like User Value Modeling. - Develop supply-side partner models like Supply Value Score. - Focus on ranking, personalization, renter intent, and emerging Pathmaker AI work. - Build zero-to-one models in areas still powered by heuristics and business rules. - Improve existing production ML systems across ranking, personalization, renter intent, and marketplace optimization. - Help shape the Data Science roadmap and partner with various teams to turn ambiguous opportunities into measurable impact. Qualifications - 7+ years of industry experience, or equivalent experience, developing, deploying, and iterating on machine learning models in production. - A degree in Computer Science, Computer Engineering, Mathematics, Statistics, Economics, Physics, or a related quantitative field. - Deep proficiency in Python and SQL, with comfort working across the full model development lifecycle. - Familiarity with standard ML libraries and frameworks such as scikit-learn, XGBoost, TensorFlow, PyTorch, or similar tools. - Experience working with cloud platforms; GCP experience is preferred but not required. - Strong technical and theoretical grounding in statistical learning, modeling, experimental design and analysis, and causal inference. - Curiosity, judgment, and a hunger to dig into uncharted territory and make a meaningful impact. Requirements - Apply a strong statistical mindset to model development, experimentation, causal inference, tradeoff analysis, and decision-making. - Lead ambiguous, high-leverage technical work: define scope, evaluate approaches, manage tradeoffs, and align stakeholders around a clear path forward. - Communicate ML opportunities, tradeoffs, and results clearly to technical and non-technical audiences, including senior stakeholders. - Mentor and collaborate with other data scientists, helping raise the quality of our modeling, experimentation, and analytical practice. - Thoughtfully leverage modern AI tools to improve productivity across coding, analysis, documentation, and workflow automation. Benefits - Work on ML systems that directly shape the renter experience, property partner outcomes, and company performance. - Build and own models end-to-end, from ambiguous opportunity through production launch and iteration. - Collaborate with talented, motivated, and intellectually curious colleagues. - Have a strong voice within R&D and across the business, helping shape product, marketplace, and company strategy through data science. - Work in a virtual-first environment that allows you to work from anywhere in the U.S.

• Build and maintain strong analytic capabilities supporting Thyme Care's mission • Model data and create visualizations for stakeholders • Partner with teams to define improvements to data pipelines • Design and build scalable data architectures and healthcare data models • Establish KPIs and reporting standards for stakeholders

• Partner with other data scientists, data engineers, and business stakeholders to generate actionable insights. • Build and maintain tools, dashboards, and insights for Sales. • Design and implement rigorous statistical frameworks to evaluate incrementality. • Translate ambiguous business problems into structured analytical approaches. • Write production-quality code (Python, SQL, etc.) to manipulate large-scale datasets. • Communicate clear, data-driven recommendations.

Role Description We're looking for a Capital Raiser to join our investor development team. - Identify, qualify, and build relationships with institutional capital sources (family offices, PE funds) for our clients. - Conduct market intelligence. - Manage investor outreach. - Coordinate meetings. - Provide strategic feedback on investor appetite and deal structure preferences. - Report directly to the Managing Partner. Qualifications - 5+ years in venture capital, private equity, investment banking, or institutional fundraising. - Proven success building relationships with institutional investors. - Strong network in the capital ecosystem. - Real estate, B2B tech, or cleantech experience a plus. - Valid FINRA license (Series 7, 63, 65, or 79). If unlicensed, you must be willing to obtain licensure within 90 days. We'll sponsor the process internally. - Clean compliance background. Benefits - Success-fee based compensation. You earn a percentage of fees EPL generates from clients on which you provide material investor development services. - Payments occur upon capital close. No salary component. - Direct access to established investor relationships. - Senior-level engagement (report to Managing Partner, no bureaucracy). - Meaningful upside from multiple successful closures. - Boutique agility in a high-quality client base. - Work across growing sectors. Not for you if: - You need salary stability or can't operate with variable compensation tied to outcomes. How to Apply: Submit your resume, a brief cover letter, and your FINRA license status to: Company Description At EPL Group, we are a distinguished family office that specializes in making direct investments in rapidly expanding enterprises led by visionary founders and family proprietors. What sets us apart as an investment collaborator is our exceptional approach, which distinguishes us in the industry. We firmly believe that nurturing exceptional companies is, fundamentally, a human endeavor.