Senior Data Scientist

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🌵 Arizona, District of Columbia, +2 more states – Remote

🌵 Arizona – Remote 🏛️ District of Columbia – Remote 🍂 Massachusetts – Remote ☕ Washington – Remote

💵 $95k - $115k / year

⏳ Contract/Temporary

🟠 Senior

📊 Data Scientist

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Lincoln Institute of Land Policy

WebsiteLinkedInAll Job Openings

51 - 200 employees

Founded 1974

🤝 Non-profit

📚 Education

🏠 Real Estate

Non-profit • Education • Real Estate

Lincoln Institute of Land Policy is a nonprofit research and education organization that seeks to improve quality of life through the effective use, taxation, and stewardship of land. It produces research, data tools, publications, courses, and convenings on land and water, fiscal and property tax systems, land conservation, urban planning, and housing policy, and works with policymakers, practitioners, and communities worldwide to inform land-related decision-making.

📋 Description

• Lead the collaborative design of end-to-end geospatial data science and remote sensing workflows • Translate project goals and scientific questions into plans, technical requirements, milestones, and quality standards • Guide selection and use of authoritative datasets, remote sensing products, geospatial methods, statistical approaches, and machine learning techniques • Anticipate risks, resolve complex technical issues, and balance scientific rigor with delivery needs and resources • Design or oversee accuracy assessments, validation strategies, sampling approaches, uncertainty analyses, and quality-control methods • Ensure methodologies are reproducible, well documented, and appropriate for intended use • Review code, models, data products, technical reports, and client deliverables • Communicate methodological limitations, uncertainty, and interpretation of results to technical and non-technical audiences • Provide troubleshooting, code review, technical guidance, and mentoring across multiple projects • Develop templates, reusable code, documentation, and training materials • Work with project managers to estimate effort, plan technical work, manage dependencies, and align delivery with scope and schedule • Contribute to research and development improving methods, model performance, processing efficiency, and data products • Evaluate emerging datasets, geospatial foundation models, cloud capabilities, and systematic methods • Contribute technical expertise to proposals, scopes of work, client presentations, publications, and strategic partnerships • Represent CGS in discussions with clients, partners, funders, government agencies, and the scientific community

🎯 Requirements

• Ph.D. or Master’s degree and equivalent experience in data science, geography, remote sensing, hydrology, environmental science, engineering, computer science, or a related quantitative field • Experience conducting the full research life cycle, including hypothesis development, experimental design, execution, and communication of findings • 5 or more years of professional experience applying geospatial data science, remote sensing, environmental modeling, or a closely related field • Experience designing and stewarding complex analytical workflows and enabling others to execute them • Advanced Python skills • Substantial experience with raster and vector processing, GIS software, and large geospatial datasets • Proficiency in statistics, data science, machine learning, and remote sensing • Applied experience with hydrology, geomorphology, terrain assessment, or a related Earth or environmental science domain • Experience with geospatial machine learning or deep learning methods • Experience with Git/GitHub, reproducible analytical practices, and collaborative code development • Excellent written and verbal communication skills • Experience mentoring, reviewing, or nurturing technical contributors • Ability to submit a cover letter and resume

🏖️ Benefits

• 3x employer contribution towards retirement matching employee contributions up to 15% • Health insurance with no deductible • Dental insurance • Vision insurance • Copay assistance through an employer-funded health reimbursement account • Short-term disability coverage • Long-term disability coverage • Paid parental leave • Voluntary accident insurance • Health care flexible spending • Dependent care flexible spending • Paid time off for holidays, vacation, personal, sick, bereavement, and jury duty • Office closure between December 24 and January 1 each calendar year • Flexible schedule • Option for a compressed 4-day workweek • Tuition and staff development reimbursement • Pet insurance • Employee Assistance Program