Senior Data Scientist
Employment Information
Report this job
Job expired or something wrong with this job?
Job Description
Senior Data Scientist designing geospatial, remote sensing, and environmental modeling workflows for CGS. Turning complex datasets into validated, decision-ready insights for sustainability and public-interest applications.
Responsibilities:
- 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
Similar Jobs
Senior Data Scientist
Senior Data Scientist using machine learning and predictive modeling to improve team.blue’s digital services for 3.3 million European customers. Building data strategy, pipelines, and actionable insights with business, product, and engineering teams.
Cientista de Dados Sr
Cientista de Dados Sr desenvolvendo soluções de IA e modelos preditivos na Spassu. Otimizando produtos e serviços públicos com experimentos, APIs, microsserviços e pipelines de ML.
Senior Director, Research & Analytics Product Sales
Senior Director driving Clarivate’s research and analytics product sales strategy across academic and government markets. Aligning teams, operations, and revenue growth with company-wide objectives.
Data Scientist
Data Scientist supporting Guidehealth’s value-based healthcare operations through clinical data analysis, machine learning, and predictive modeling. Translating healthcare data into actionable insights for Clinical, Quality, and CDI teams.
Manager, Data Science and Analytics
Data analytics manager leading enterprise operations and customer-solution initiatives through data science and advanced analytics. Overseeing teams, models, dashboards, reporting, and strategic recommendations.
Senior Data Scientist – AI-ML, Anomaly Detection Lead
Senior Data Scientist leading explainable AI/ML anomaly detection for Chameleon’s Florida government oversight platform. Modernizing rules, validating models, and quantifying fraud, waste, and abuse risks.
Working Student Data Science
Working Student Data Science building production data pipelines and predictive models for SIXT, a global mobility services provider. Analysing real business data and supporting machine learning experiments near Munich.
Senior Data Scientist
Senior Data Scientist building pipelines, predictive models, and AI products for High 5 Games’ gaming ecosystem. Driving player engagement, monetization, and product growth through analytics and machine learning.
Data Science Lead – MLOps, Advanced Analytics
Data Science Lead architecting production ML and AI systems for Resilient Co. using Azure, Databricks, Spark, and MLOps. Leading predictive modeling, automation, deployment, and drift monitoring across enterprise data products.
Staff Data Scientist
Staff Data Scientist developing interpretable residential valuation models for True Footage’s Kelley Blue Book Home Valuations and TrueTracts platforms. Partnering with the CTO to ship production machine learning systems and shape Data Science standards.
Senior Data Scientist
Cientista de Dados Sênior sustentando modelos de IA na Vetta, empresa de digitalização industrial. Monitorando produção, resolvendo incidentes e aprimorando soluções de Machine Learning e Deep Learning.
Data Scientist
Data Scientist at Applaudo, an AI-native technology company, building entity-matching models with embeddings and LLMs. Evaluating scalable, cost-effective solutions on messy, multilingual datasets.
Data Scientist
Data Scientist evaluating AI-generated statistical and machine-learning work for 24-MAG’s consulting network. Reviewing analyses, developing rubrics, and delivering defensible technical feedback.
Senior Marketing Data Scientist
Senior Marketing Data Scientist analyzing healthcare and pharmaceutical marketing data for GoFasti, a LatAm talent-as-a-service company. Building attribution, segmentation, predictive analytics, and measurement solutions remotely.
Product Manager, Data Orchestration
Product Manager leading data orchestration at Kestra, an open-source universal orchestration platform. Shaping data-aware workflows, integrations, migrations, and releases for data engineering teams.
Senior Data Scientist
Senior Data Scientist guiding product decisions and AI initiatives for a United States-based product organization. Defining metrics, evaluating features, forecasting outcomes, and building scalable analytics assets.
Senior Data Scientist
Senior Data Scientist driving product analytics, experimentation, and AI measurement for a product-led organization. Building models, metrics, dashboards, and recommendations that guide product roadmap and investment decisions.
Data Scientist IV
Data Scientist IV developing predictive models, analytics, and visualizations for Astreya, a global IT managed services provider. Leading big-data engineering and AI/ML solutions across complex business datasets.
Marketing Analytics Lead
Marketing Analytics Lead building attribution models, dashboards, and experiments for Marathon Health’s advanced primary care business. Turning member-engagement data into marketing optimization recommendations.
Deputy Manager – Data Sciences
Data Sciences Deputy Manager developing Azure-based AI and data solutions for WNS, an intelligent operations and transformation company. Building models, pipelines, and analytics for business problems.