Role Description Own the full data science engine for a priority vertical, from business problem to deployed model to live ROAS performance, driving measurable revenue and media efficiency. This is a hands-on, in-the-weeds role: you are heavily immersed in the data and the modeling, framing the business problem directly with stakeholders, building and validating the model, handing the ML-engineering last mile to your ML engineering partner, and staying engaged through deployment, monitoring, and performance analysis. You will start focusing on Insurance and Advertiser Quality, with scope that broadens over time. Your primary metric is ROAS. Outcomes - Own the Insurance vertical's primary modeling work end-to-end with measurable ROAS impact - Deliver buying models that maintain positive ROAS and quality - Drive lead quality improvements across our portfolio of brands: Messaging, Funnels, Content/Listicles, and more resulting in measurable impact to revenue growth - Establish trusted, direct partnership with vertical business stakeholders - Produce trusted output: validated, documented, low correction burden - Identify and leverage net-new modeling opportunities the business has not flagged Qualifications - Proven experience in digital marketing, performance marketing, or the leadgen industry - Building adtech algorithms and supporting user acquisition or paid media modeling (highly desired) - Strong modeling fundamentals: the ability to build effective models that drive business impact - Multi-year, hands-on experience building and deploying ML solutions in the AWS cloud - Hands-on experience across core technique areas: multi-armed bandit / reinforcement learning, recommendation and ranking systems (content-based, collaborative filtering, hybrid), funnel and monetization optimization, LTV modeling - Expert Python and SQL - 5+ years in a hands-on, in-the-weeds applied data science role delivering measurable business impact Requirements - Sophisticated ML at companies where paid digital media is core to the business model - Creative embeddings work: incorporating embeddings of creatives, videos, headlines, and search into paid media models - Insurance domain experience - Creating state-of-the-art Ad Ranking algorithms - Modeling against ad-platform data points (Google, Meta, native) - LLMs / deep learning applied to personalization or content - Familiarity with Looker Benefits - Base salary: $175,000 to $200,000 per year, paid semi-monthly - Compensation package includes a base salary, profit-sharing bonus, and competitive benefits - Performance-driven company: future increases based on company and personal performance, not annual cost of living adjustments

Role Description Confluence is seeking an experienced Project Scientist/Geologist to join our team and support remediation and water quality projects across the Rocky Mountains. The Employee's primary place of work is their home office. Occasional travel to the Employer's offices or other locations is not anticipated but may be required with reasonable advance notice. We are looking for an environmental professional with proven consulting experience and a strong background in regulatory compliance. In this role, you will: - Review historical project records. - Analyze environmental data. - Develop technical recommendations that move projects toward compliance and closure. - Prepare and review scopes of work. - Manage project tracking. - Draft reports, figures, and regulatory submittals for agencies and clients. This position is ideal for professionals who thrive on technical analysis, regulatory engagement, and producing high-quality deliverables. It also provides a pathway to project leadership, offering the opportunity to apply your expertise while advancing your career in environmental consulting. Qualifications - Bachelor’s degree in Environmental Science, Geology, Natural Resources, or related field. - 3 to 7 years of environmental consulting, remediation, or regulatory compliance experience. - Strong technical writing and data analysis skills. - Remediation and water quality experience. - Highly organized, detail-oriented, and able to manage multiple projects simultaneously. - Demonstrated experience preparing and reviewing regulatory submittals and navigating state or federal environmental processes. - Proficient with Microsoft Office and Adobe Acrobat software. - Have a home office with a reliable internet connection, conducive to remote work. - Self-motivated and able to work independently with minimal supervision. - Maintain auditable personal notes on work completed to backup billed project work and approved indirect time. - Comply with all Confluence and client policies and procedures. - Must pass a background check. Requirements - Experience in oil and gas & environmental consulting industries. - Demonstrated experience with ECMC regulations and reporting requirements. - Experience preparing or reviewing Form 19/27s (ECMC). - Technical writing experience with regulatory deliverables. - Experience with the Esri suite of software products. - Familiarity with state environmental databases and data management systems. Benefits - Competitive pay and benefits, including profit sharing. - A collaborative team that values adaptability and problem-solving. - Opportunities for professional growth and advancement. - A culture built on safety, communication, and continuous improvement.

• Oversee data collection, organization, and/or management for research studies • Run routine and ad hoc reports • Use tools to review data • Assist with data cleaning and preparation of tables • Lead activities such as data collection and entry • Conduct literature searches and support faculty in research efforts • Assist in writing summaries for policy briefs or other channels

• Lead, manage, and mentor Research Applications employees to ensure the effective design, implementation, and maintenance of research administration and compliance solutions. • Oversee the development and implementation of research IT projects, including system enhancements, integrations, and upgrades. • Ensure staff is properly engaging with and meeting the expectations of project teams. • Work closely with stakeholders across WVU to identify business requirements, evaluate capabilities, and implement solutions that empower our business partners to scale at speed and deliver services to the University efficiently. • Ensure adherence to established standardized approaches for application development, including best practices for requirements gathering, coding, documentation, and change management. • Provide guidance and support to Research Applications staff in troubleshooting complex issues and optimizing system performance. • Stay current with R1 institution best practices, industry trends, and emerging technologies to drive continuous improvement. • Develop and maintain documentation, training materials, and standard operating procedures related to research administration and compliance. • Foster a culture of collaboration, innovation, and excellence within the team and across the Information Services department. • Promote the use of ITS programs, policies, and best practices to ensure efficient and secure delivery of IT services. • Gather, review and evaluate work requests from WVU enterprise clients regarding requirements, determine appropriate resources and approach, and provide support within the responsibilities and mission of the unit. • In conjunction with the Director, collaborate to develop and execute short- and long-term organizational objectives, policies, financial strategies, and operational procedures. • Evaluate program effectiveness, monitor progress, and implement necessary changes to enhance performance and achieve improvement goals. • Assist the Director in establishing, maintaining, and executing on a strategic roadmap for assigned products.