Role Description We are seeking a highly skilled and technically proficient Director of Data Science to lead and scale our data science team. This individual will be responsible for driving complex modeling efforts, designing robust data pipelines, and delivering high-impact analytical solutions that influence business strategy. This role is ideal for a hands-on leader with deep expertise in machine learning, statistics, and data infrastructure. Responsibilities - Team Leadership & Strategy - Lead and mentor a multidisciplinary team of data scientists and ML engineers. - Partner cross-functionally with engineering, product, analytics, and business stakeholders to identify opportunities for data-driven innovation within an agile environment. - Uncover deep insights from data and effectively connect them to user behaviors through compelling storytelling. - Technical Execution - Architect, deploy, and validate advanced machine learning models and algorithms for prediction, optimization, segmentation, and recommendation. - Review and guide experimentation, statistical modeling, and A/B testing across products and initiatives. - Ensure scalable deployment of ML solutions into production in collaboration with engineering teams. - Operational Excellence - Define and uphold best practices in model development, versioning, monitoring, and reproducibility. - Implement frameworks for model governance and performance tracking. - Contribute to building a modern data science stack that supports experimentation, feature engineering, and model lifecycle management. - Data Infrastructure & Collaboration - Guide the development of robust data pipelines, feature stores, and model-serving architectures. - Advocate for sound data management and partner with data engineering on upstream data quality and infrastructure needs. - Thought Leadership - Stay abreast of emerging techniques in AI/ML and evaluate applicability to our business challenges. - Cultivate a culture of curiosity, experimentation, and scientific rigor. Qualifications - 8+ years in data science or machine learning roles, with at least 3–5 years leading teams. - Degree in Computer Science, Statistics, Mathematics, or a related technical field (MS/PhD preferred, or undergraduate degree with relevant work experience). - Deep experience with Python, SQL, and modern ML libraries (e.g., scikit-learn, statsmodels, TensorFlow, PyTorch). - Proven ability to scale ML solutions in production environments (e.g., via cloud platforms like AWS/GCP). - Experience in digital product development, particularly with web or app platforms, demonstrating an ability to effectively contribute to the lifecycle of digital products. - Strong understanding of experimental design, causal inference, and statistical testing. - Exceptional communication skills with the ability to translate technical work into business impact. Benefits - Paid Family Care for parents and caregivers for 12 weeks or more. - Monetary assistance and support for Adoption, Surrogacy, and Fertility. - Monetary assistance and support for pet adoption. - Employee Assistance Programs and Health/Wellness/Comfort reimbursements to help you invest in your future and work/life balance. - Tuition Assistance. - Paid time off that includes Flexible Time off, Vacation, Annual Sick Days, Volunteer Days, Holiday and Identity days, and more. - Matching Gifts programs. - Flexible working arrangements. - ‘Work Your World’ Program encouraging employees to work from anywhere. - Publicis Groupe has an office for up to 6 weeks a year (based upon eligibility). - Business Resource Groups that support multiple affinities and alliances.

Role Description WSP is seeking a Lead Mine Reclamation Soil Scientist to join our Mine Closure team. The preferred location is in our Albuquerque, New Mexico office; however, other WSP office locations or a remote position may be considered for the right candidate. You will lead and contribute to multiple mine reclamation soil science programs in our southwest US service area with an opportunity to contribute to international projects. You will be responsible for delivering consulting services in soil science data collection and analysis, reporting, and permitting in support of internal and external clients. The position focuses on hard-rock mine reclamation projects with opportunities in coal reclamation and habitat restoration. Your Impact - Lead the development of mine closure plans, soil cover designs, and revegetation protocols to close mine facilities working with other physical scientists and engineers. - Oversee borrow material investigations and soil inventories to identify suitable reclamation materials and determine soil characteristics. - Direct quantitative seepage, vegetation, and erosion monitoring studies to ensure compliance with state and federal permit requirements. - Navigate complex regulatory frameworks to secure approvals for mine operations and closure activities. - Manage a variety of soil science projects on reclaimed mine lands including field logistics, staffing, budgets and scheduling, data collection, and report generation. - Coordinate with unsaturated flow modelers to develop inputs for and analyze outputs from long-term cover stability and net percolation modeling efforts. - Develop study designs, quantitative monitoring plans, and implement field programs that may include test pitting, material characterization sampling and chemical analysis, test plot construction and monitoring, vadose zone sensor installations, and reclamation cover design and grading for closure planning. - Lead multidisciplinary field programs with teams up to 10 soil scientists, geologists, ecologists, engineers, and technicians. - Provide health and safety leadership in the field and in the office. - Collect and manage quantitative soil data including data quality assurance, compilation, analysis, and interpretation. - Nurture client relationships and actively pursue opportunities related to mining and mine closure. Identify, lead, and contribute to proposals and business development activities. - Work collaboratively with other senior members of the Mine Environment team on mine closure and reclamation projects and pursuits. Establish links with other environmental and engineering business units to support and enhance service delivery. - Create detailed reclamation plans and specialized technical reports for mine closure projects. - Effectively interact with clients, local and regional team professionals, and regulatory officials. - Potential for travel domestically and internationally. Candidates not located in Albuquerque can expect to travel to New Mexico and project sites regularly. - Guide and mentor junior staff. - Oversee and work with cross-functional teams in executing project work and collaborate in response to requests for proposals. - Exercise responsible and ethical decision-making regarding company funds, resources and conduct, and adhere to WSP’s Code of Conduct and related policies and procedures. - Perform additional responsibilities as required by business needs. Qualifications - Master of Science in Soil Science, Environmental Science, Range Science, Geology, or closely related field. Candidates with a Bachelor of Science having specific relevant experience in lieu of an advanced degree are also accepted. - 10 to 15 years of progressive experience in environmental consulting with a primary focus in mining and/or land restoration. - Strong practical experience in soil science, mine waste chemical/hydraulic characterization, soil cover design and laboratory/field testing (USDA, USCS). - Demonstrated experience with field protocols to describe and sample soils, laboratory testing protocols (USDA and USCS), and vadose zone and meteorological monitoring sensors. - Proven ability to manage and mentor junior staff in the field and office. - Experience navigating local, regional, and federal mining regulations. - Ability to manage complex programs involving the collection and analysis of large amounts of data. - Strong commitment to scientific integrity, QA/QC, workplace safety, and ethical conduct. - Manage multiple project assignments while maintaining flexibility to meet cost and schedule objectives. - Excellent technical communication skills, including preparation of high-quality reports; peer-reviewed publications are an asset. - Proficiency with GIS-based field data collection and data analysis/visualization tools (e.g., ArcGIS platforms, R, Python, Excel, Power BI). - Experience with unsaturated soil atmospheric modeling software (i.e., HYDRUS, SEEP/W, UNSAT-H, etc.). - Willingness to travel and perform physically demanding field work for environmental sampling including flexible work schedules as required. - Highly capable self-leadership with attention to detail, multi-tasking, and prioritization of responsibilities in a dynamic work environment. - Ability to work independently and provide guidance and leadership to junior team members, with strict adherence to QA/QC. - Proven track record of upholding workplace safety and ability to abide by WSP’s health, safety and drug/alcohol and harassment policies. - Occasional travel may be required depending on project-specific requirements. Preferred Qualifications - Master’s Degree is preferred. - Certified Professional Soil Scientist (CPSS) certification. - 24-Hour MSHA Part 48 Certification. - 40-Hour OSHA Health & Safety Training (HAZWOPER) (29 CFR 1910.120) preferred. - Basic First Aid and Adult CPR training desired.

• Must be able to lead an entire project with minimal supervision, designing and building mathematical/statistical solutions according to business requirements. • From the initial meeting, define the project scope with the business area, translating requirements into programmatic statistical models. • Analyze timelines and trade-offs between techniques and business needs; implement all project stages (data collection and analysis, formatting for model ingestion, modeling, and generation of usable outputs). • Must also be able to guide and teach any part of the machine learning project lifecycle to less experienced team members. • Liaise with the business area regarding any needs during the project. • Development of transactional chatbot models. • Create AI models to apply rules for identifying transactional fraud. • Correlate datasets. • Create dashboards to visualize the key established metrics. • Document the development technically.

Role Description Scaling.com is becoming a research and advising firm — and this role builds the research half of that identity. We are hiring a Ph.D.-level Research Data Scientist to own broader research analysis across our most valuable asset: a unique, constantly evolving dataset of 500+ Scalers actively applying one framework toward a 10x goal. Your mandate is to reverse-engineer the formula. By studying what our Scalers — especially our highest performers — actually do, you will identify the patterns, moves, and correlations that drive extraordinary scaling, and publish those findings on two tracks: - Monthly white papers for our Scaler community - Peer-reviewed articles in academic business journals This is a research lab of one, with room to become a research team you lead. You will work directly with our founders, Dr. Benjamin Hardy and Blake Erickson, who will guide and sharpen your research direction, and alongside our curriculum and data teams day to day. We are looking for someone who self-manages, sets their own research agenda, and treats this dataset as the obsession of their career. - Analyze our Scaler dataset — strategy call recordings, revenue data, and portal data — to identify meaningful patterns, themes, trends, and correlations. - Study our highest-performing Scalers to extract what differentiates them: the moves they make, what they cut, how their teams reconstitute, and how they raise their floor. - Publish a monthly white paper for the Scaler community on what's working right now — core themes, top-performer behaviors, and measurable outcomes from the last 30 days. - Publish in peer-reviewed academic business journals on a quarterly cadence, building a legitimate research line around the science of scaling. - Lead and guide our data capture — tell us what data we should be collecting from Scalers and strategists, and raise the quality of the dataset over time. - Use AI tools fluently (we use Avoma for call intelligence) to accelerate theme detection and analysis across hundreds of engagements. - Translate findings into digestible, compelling writing — and present them live to our Scaler community at events. - Build the foundation of a long-term research engine and intellectual property base for Scaling.com. Qualifications - A Ph.D. candidate, recent Ph.D. graduate, postdoctoral researcher, or early-career professor in business, psychology, organizational behavior, entrepreneurship, or a related quantitative field. - Strong quantitative and qualitative research capability — you can design a study, run the analysis, and defend the methodology. - Experience with (or a clear path to) peer-reviewed academic publishing in business or social science journals. - Exceptional writing across registers — rigorous enough for an academic journal, clear enough for a founder reading a white paper. - Fluent with AI-assisted research and analysis tools, and energized by a messy, living dataset rather than a clean archival one. - Genuinely obsessed with what drives business scaling — this is your research lab, not a job between jobs. - You've read The Science of Scaling, you connect with its ideas, and you can work inside our framework and language. - Self-managing and independent — you set the agenda, bring findings forward, and don't wait to be directed. Benefits - Paid Time Off – Includes vacation days, sick leave, and company holidays - Remote Work Flexibility – Work from the location of your choice (U.S.-based) with the structure, autonomy, and support to thrive