Role Description ERG is seeking an entry level Environmental Scientist to support projects related to drinking water and water quality programs, regulations, and infrastructure. The role is ideal for a recent graduate or early career professional interested in water resources, drinking water, water quality, environmental planning, and support for the water regulatory and utility sectors. The selected candidate will provide project support across a range of technical projects supporting federal, state, and other clients. - Provide technical support for ERG water-related projects - Assist with research, data collection, analysis, and engagement related to drinking water and water quality management, regulations, and related topics - Support preparation of products for technical and non-technical audiences, and other project deliverables - Support environmental planning reviews for proposed infrastructure projects, including Environmental Assessments (EAs) and Categorical Exclusion (CATEX) reviews pursuant to the National Environmental Policy Act (NEPA) - Contribute to regulatory compliance, technical assistance, and other efforts - Collaborate with multi-disciplinary teams of scientists, engineers, policy analysts, communications experts, and other colleagues to support client objectives - Assist with project coordination and administrative tasks and with proposal and business development activities as needed Qualifications - Bachelor’s degree in environmental science or a related discipline - 0-3 years of relevant academic or professional experience - Strong analytical, research, and problem-solving skills - Excellent written and verbal communication skills - Strong time management skills, with the ability to prioritize numerous concurrent projects and meet deadlines - Ability to work both independently and collaboratively in a team environment - Ideal candidates will also have conducted academic coursework or research relevant to the water sector, and have a basic understanding of environmental regulations Requirements - $58,000 - $70,000 a year Benefits - ERG is an equal opportunity employer and complies with all applicable EEOC regulations. - All qualified applicants will receive consideration for employment without regard to age, race, color, religion, sex, sexual preference, national origin, disability, or status as a protected veteran. - ERG fosters a friendly, flexible work environment. - ERGers are dedicated to serving clients who are committed to making the world a better place. - We promote and recognize principles of fairness and respect in the work we do, the partnerships we foster, and the culture we value both within and outside of our organization.

• Partner directly with commercial, finance, and executive stakeholders to proactively transform vague, complex business questions into scoped, actionable analytical problems, anticipating organizational needs before they are explicitly asked • Design and run rigorous experimental and quasi-experimental analyses (e.g., Diff-in-Diff, propensity methods) to evaluate promotions, measure causal impact, and model category economics like price elasticity and regulatory tax impacts • Architect and maintain large, complex commercial datasets using SQL and dbt on BigQuery, and build, deploy, and monitor robust market-share and demand forecasting models to drive seven-figure decisions • Build the predictive models and performance metrics that guide field operations, directly determining where and how field sales managers allocate their time to maximize store-level value • Deploy LLMs and AI agents to classify unstructured commercial data (e.g., receipts, transactions) and build internal tools that democratize data access and enable stakeholders to answer their own questions.

Principal Environmental Scientist - Natural Resources Location: San Diego, CA Remote Full-time Job Description: Our Principal Scientist position can be performed remotely; however, the ideal candidate will be based in Southern California and bring strong California-specific regulatory and environmental expertise. As a key member of the leadership team, this role will be responsible for a wide range of activities including: - Leading complex environmental compliance projects from planning strategy through execution. - Working closely with clients and technical expert team and planners to solve problems and provide regulatory insight and risk-based guidance. - Collaborating with internal subject matter experts (biologists, archaeologists, GIS specialists, planners, regulatory specialists, and engineers) and external technical partners, protection agencies, and state or federal lead agencies. - Overseeing proposals and business development activities, including leading proposals, cost estimating, and interview execution. - QA/QC oversight of high-volume programs/projects. - Project staffing, budget and schedule management - Mentoring and developing staff, fostering technical excellence and professional growth. - Supporting business development and strategic growth initiatives alongside other Principals. - Maintaining compliance with all safety, confidentiality, and company policies. - Staying current on industry trends, regulations, and best practices through continuous professional development. - Working collaboratively with the core Principal team and working independently. - Perform other duties as assigned. YOUR EXPERTISE AND SKILLS The Principal Scientist is a recognized technical authority and strategic leader, responsible for regulatory certainty, project success, and long-term client trust. Required Qualifications: - Bachelor’s degree in biology, urban planning, environmental science, or related field. - Master’s degree preferred but not required. - Minimum of 15 years of relevant professional experience (12 years with a Master’s degree). - Experience with utilities and/or renewable energy projects strongly preferred. - Experience serving as senior regulatory liaison with permitting agencies preferred. - Knowledge of current environmental compliance and city/state development regulations. - Strong familiarity with California natural resources and impact analyses/assessments. - Experience leading the regulatory permitting process, including experience working with the USACE, USFWS, BLM, USFS, CDFW, and RWQCB. - Proven ability to operate independently while leading multidisciplinary technical teams. - Experience as a people manager providing mentorship to elevate the skillsets of staff and provide career growth opportunities. - Proven success leading proposals and competitive pursuits. - Excellent written communication skills, ability to write and oversee complex technical documents, memorandum, or reports. - Experience leading projects/programs and working in dynamic, collaborative environments that require flexibility in assuming new roles and changing project directions. - Advanced proficiency with Microsoft Office; working knowledge of tools such as ArcGIS and AutoCAD preferred. - Willingness and ability to travel locally as needed.

Role Description As an Applied Scientist, you will design and prototype AI/ML methods that improve data quality, scale human judgement, and support robust AI evaluation workflows. You will work on applied problems such as: - Quality modelling - Judgement aggregation - Evaluation design - LLM-assisted review - Reliability testing for AI systems Ideal for someone with deep scientific judgement, strong applied ML skills, and a practical bias toward methods that work in real customer and product contexts. This is not a pure research role or a production ML engineering role. You will turn ambiguous problems into clear methodologies, benchmarks, models, and prototypes that product and engineering teams can adopt. What You'll Be Doing: - Prototype AI/ML methods to improve human data quality, judgement aggregation, and AI evaluation workflows. - Design experiments, benchmarks, and reliability tests to measure whether new methods improve quality, efficiency, or customer outcomes. - Apply classical ML, statistics, LLMs, and agentic techniques where they create practical value. - Use modern AI tools to accelerate prototyping, experimentation, and iteration. - Partner closely with product and engineering to translate scientific methods into scalable platform capabilities. - Communicate technical assumptions, trade-offs, and recommendations clearly across technical and non-technical teams. Qualifications - PhD or MSc in Computer Science, Mathematics, Statistics, Machine Learning, or a related field. - 3+ years of applied ML, AI research, or data science experience with demonstrated real-world impact. - Experience with human-in-the-loop AI systems, including RLHF, annotation pipelines, data quality modelling, judgement aggregation, benchmarks, or AI evaluation. - Fluency with modern LLM and agentic techniques, such as Retrieval-Augmented Generation (RAG), LLM-as-judge, multi-agent workflows, synthetic data generation, and automated quality review. - Strong Python skills and the ability to quickly build, test, and iterate on working prototypes. - Good judgement on when to use simple statistical methods, classical ML, LLMs, or agentic approaches. - Ability to translate ambiguous product or customer problems into clear hypotheses, experiments, metrics, and reusable methodologies. - Strong cross-functional communication and experience partnering with product and engineering teams. Benefits - Competitive salary - Remote working - Impactful, mission-driven culture