Role Description Trileaf is seeking a full-time, field Project Scientist with 0-5 years of field experience conducting environmental due diligence work on commercial real estate and/or telecom projects, to include Phase I Environmental Site Assessments (Phase I ESAs) and Phase II ESAs. This position will be remote & based in the Ohio River Valley (ideally between Cleveland OH / Pittsburgh PA). - Travel to project location, take detailed notes and photographs of site (3-4 days per week) - Conducting interviews, in person, via email, and phone - Ordering & analyzing government database records - Performing regulatory agency file reviews - Reviewing historical data (including topographic maps, Sanborn fire insurance maps, city directories, and aerial photographs) - Drafting of a standardized report using information from these various sources - Perform QA/QC to the satisfaction of both management and clients - Completing requested revisions & submitting report within pre-established timelines - Conducting field work to collect samples of potentially contaminated subsurface media (soil, groundwater, and soil vapor) and/or indoor air - Compare analytical contaminant data collected to applicable regulatory standards Qualifications - Attention to detail - Strong work ethic - Valid driver license - Capable of field work - Ability and willingness to travel (travel not expected to exceed 2-3 days at a time) - Good computer skills - Independent worker - Commitment to excellence - Phase I Assessments - NEPA Assessments Requirements - 40-Hour HAZWOPER Certification - Licensed Asbestos Inspector - Management - Mold assessment experience - Phase II Environmental Site Assessments (ASTM E1903) - Property Condition Assessments (ASTM E2018) - Transaction Screen Assessments (ASTM E1528) - Record Search with Risk Assessments (SBA SOP 50 10 6) - Environmental Professional (EP) Education - Bachelor’s degree or higher in Biology, Environmental Science, Geology, Geography or related fields Benefits The listed salary range for this position is an expected range. The actual offer will be at the company's sole discretion and determined by relevant business considerations, including the final candidate's qualifications, years of experience, skillset, geographic location, and current market data. Company Description Trileaf Corporation is a nationwide environmental, architecture, and engineering consulting firm that assists clients with environmental due diligence, regulatory compliance, and engineering and architectural design. From its headquarters in St. Louis, MO, and multiple branch offices throughout the U.S., Trileaf serves the wireless communications, commercial real estate and financial industries.

• Tell clear, business-relevant stories about our talent using data and insights. • Get hands-on with AI to explore where it meaningfully improves insight generation, decision support, and experimentation. • Design, own, and evolve the People data foundation, including pipelines and BigQuery data models, in partnership with Data Engineering and HR Operations • Build scalable analytics products and tools, including Tableau dashboards and AI-enabled products • Partner cross-functionally with People Team and business leaders to identify and scope high-impact talent questions, analyze using quantitative methods, and translate insights into clear, actionable recommendations. • Own initiatives end-to-end across the People Team (Recruiting, Talent Management, DEIB, and more). • Foster a culture of data-informed decision-making across the People Team and the broader organization.

• Design and evaluate strategies to reduce fraud and abuse across promotions, referrals, refunds, and payment flows. • Develop and improve machine learning models, rules-based systems, and heuristics to detect high-risk behavior while minimizing false positives. • Analyze experimental and observational data using A/B testing and causal inference to measure the effectiveness of interventions in payments and fraud prevention. • Identify and quantify key friction points in the payments funnel (e.g., latency, failure rates, PSP routing), and partner with Engineering to improve reliability and speed. • Build dashboards, reports, and self-serve tools to empower teams with visibility into fraud trends, payment performance, uncollected revenue, and risk tradeoffs. • Collaborate on incident response and root cause analyses for fraud and abuse events, ensuring rapid mitigation and long-term prevention. • Stay informed on evolving fraud tactics, risk mitigation techniques, and payment technologies to proactively shape Lime’s strategy.

• Analyze product data to inform product direction • Collaborate with engineering and product teams • Conduct foundational analyses on unsolved questions • Share complex analyses that inform decision-making