• Lead the strategy and delivery of predictive models that improve customer acquisition, marketing performance and long-term commercial value. • Partner with Marketing, Product and Commercial teams to apply Data Science to real business problems. • Work closely with Engineering and ML Ops to ensure models become reliable, production-ready products. • Lead and develop a growing team of Data Scientists while building trusted relationships across the business. • Represent Forbes in strategic conversations with technology partners while staying connected to advances in AI, machine learning and marketing science.

• Lead the strategy, roadmap and engagement initiatives for the core data visualization and data preparation ecosystem (BigQuery, Looker, and Looker Studio). • Guide the adoption cycle and curation of conversational data solutions (conversational analytics/CA) as a layer that provides agility and technology agnosticism. • Design, track, and evolve the directorate's scorecard of value and efficiency indicators, translating telemetry and analytical logs (e.g., reuse rates, autonomy and usage fidelity) into clear executive reports. • Drive planned cleanup and decommissioning of obsolete or idle analytical products at the edge, reducing clutter and noise in the environment. • Oversee team-built products, including Environment Cost Monitoring and Auditing and an AI-based Tools Migration Accelerator. • Lead alignment rituals and problem-discovery sessions with data leaders to ensure the roadmap solves the Group's real analytical bottlenecks.

• Partner with Trade leaders to solve complex business problems using data, analytics, and quantitative decision-making • Translate ambiguous business questions into analytical frameworks • Develop AI-powered tools and workflows • Serve as a trusted advisor to business stakeholders • Design and deploy Agentic AI solutions via APIs • Rapid hypothesis generation, statistical analysis, experimentation, forecasting • Communicate clear recommendations that drive measurable business outcomes

Role Description We are seeking a Data Scientist to bridge the worlds of real estate acquisitions and data science. This role is ideal for someone with hands-on experience in multifamily commercial real estate, including: - Building pro formas - Analyzing deals - Leveraging market intelligence from sources such as CoStar, Yardi Matrix, and RealPage Market Analytics The successful candidate will apply those skills to build innovative data-driven products for investors. As part of the ApartmentIQ Explore Pro team, you will work closely with leadership, product, and engineering to design and deliver new features that make multifamily investment insights more actionable. This is an opportunity to help shape how institutional investors access and evaluate multifamily market data while building the next generation of investment tools. Responsibilities - Research and experiment with multifamily datasets to identify opportunities for new product features and insights. - Partner with product managers and engineers to define requirements and design data-driven capabilities for ApartmentIQ Invest Pro. - Translate acquisitions workflows into scalable tools and features for institutional investors. - Apply large language models (LLMs) and other AI techniques to accelerate research, automate workflows, and unlock new insights from structured and unstructured market data. - Act as a subject matter expert on multifamily acquisitions, ensuring the product reflects real-world investor needs. - Create clear documentation, dashboards, and analyses to communicate findings and product opportunities. - Stay current on multifamily industry trends, data sources, AI/ML advances, and investment methodologies. Qualifications - 3–5 years of experience in multifamily commercial real estate, with a strong background in underwriting, deal analysis, and pro forma modeling. - Proven experience using key market data sources such as CoStar, Yardi Matrix, or RealPage Market Analytics. - Strong quantitative and analytical skills with proficiency in SQL. - Experience applying large language models (LLMs) or AI/ML techniques to accelerate research, automate analysis, or extract insights from data. - Familiarity with modern data science practices, including model building, experimentation, and validation. - Experience collaborating across teams (investment, product, engineering, data science). - Strong business acumen and ability to translate investor workflows into product features. - Excellent communication skills with the ability to explain complex data insights to technical and non-technical stakeholders. - Entrepreneurial mindset: comfortable in a fast-paced, product-building environment. Bonus Skills - Proficiency in Python, R, or similar. Benefits - Remote-First: Enjoy the flexibility of remote work, balanced with high-energy in-person offsites to build real connections and celebrate our wins together. - Competitive Compensation: Receive a competitive salary that reflects your impact and expertise. - Paid Time Off: Flexible vacation policy and dedicated paid parental leave to support you and your family’s biggest milestones. - Your Health Matters: High-quality Medical, Dental, and Vision insurance plans for you and your family. - Peace of Mind (On Us): 100% company-paid Short-Term Disability, Long-Term Disability, and Basic Life Insurance. - Protection for Your Whole Crew: Access supplemental insurance for the unexpected, plus specialized coverage for your pets. - Invest in Your Future: 401k Program to help you build for the long term while you help us build the company.