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Remote Remote Sensing Scientist Jobs in California

Swish Analytics

Soccer Data Scientist

San Francisco, CA · On-site +1

$130K/yr

Data Science is at the core of our business, so this team has true ownership and impact over ... This position is remote from the USA. Duties: * Ideate, develop and improve machine learning and ...

Swish Analytics

Data Scientist

San Francisco, CA · On-site +1

$150K/yr

This position is remote from the USA or Canada. Duties: * Develop infrastructure for trader ... Bachelor's in Data Science, Statistics, Computer Science, Applied Math, or a related technical ...

Planet

Data Visualization Engineer

San Francisco, CA · On-site +1

We are looking for a spatial thinker with a passion for remote sensing analysis and visual communication to help us leverage Planet's platform and imagery products for external distribution. You will ...

Planet

Senior Data Visualization Engineer

San Francisco, CA · On-site +1

$134K - $162K/yr

We're looking for a spatial thinker with a passion for remote sensing analysis and visual communication to join our team. You will help the Marketing and Communications Teams leverage Planet ...

Swish Analytics

Tennis Data Scientist

San Francisco, CA · On-site +1

$135K - $190K/yr

Data Science is at the core of our business, so this team has true ownership and impact over ... This position is remote from the USA. Duties: * Ideate, develop and improve machine learning and ...

Muon Space

Staff Optical Engineer

Mountain View, CA · On-site +1

$166K - $223K/yr

About the role Muon seeks a Staff Optical Engineer to act as a technical lead on our team in Mountain View, CA or Remote, developing infrared remote sensing instruments. The ideal candidate is a self ...

Mantari

Software Engineer

Torrance, CA · On-site +1

... remote-sensing data, or geospatial intelligence * Background in physics-informed ML, simulation modeling, or data assimilation * Contributions to open-source ML or scientific computing frameworks How ...

Wood Plc

Distribution Engineer

Los Angeles, CA · On-site +1

Knowledge of smart infrastructure equipment such as automatic feeder switches, remote sensing switching, remote sensing cap banks and other smart equipment * Knowledge of PV's and EV's * Strong ...

Wood Plc

Distribution Engineer

Los Angeles, CA · On-site +1

Knowledge of smart infrastructure equipment such as automatic feeder switches, remote sensing switching, remote sensing cap banks and other smart equipment * Knowledge of PV's and EV's * Strong ...

Mantari

Head of Software

Torrance, CA · On-site +1

$141K - $189K/yr

Experience integrating multi-modal data (satellite, sensor, remote sensing, IoT) * Knowledge of ... Comfort working across disciplines - science, ML, software, product * Strong communication skills ...

Dudek

As Needed Survey Crew Chief III

San Diego, CA · On-site +1

$43.30 - $56/hr

Plans and executes aerial imagery and remote sensing data collection using UAVs, ensuring compliance with FAA Part 107 regulations and Dudek safety protocols. * Conducts lidar and magnetometer ...

Dudek

As Needed Survey Crew Chief III

San Diego, CA · On-site +1

$43.30 - $56/hr

Plans and executes aerial imagery and remote sensing data collection using UAVs, ensuring compliance with FAA Part 107 regulations and Dudek safety protocols. * Conducts lidar and magnetometer ...

Dudek

As Needed Survey Crew Chief III

San Diego, CA · Remote

$43.30 - $56/hr

Plans and executes aerial imagery and remote sensing data collection using UAVs, ensuring compliance with FAA Part 107 regulations and Dudek safety protocols. * Conducts lidar and magnetometer ...

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All JobsSensing Scientist JobsRemote Remote Sensing Scientist JobsRemote Remote Sensing Scientist Jobs in California

Remote Remote Sensing Scientist information

What is a remote remote sensing scientist?

A Remote Sensing Scientist is a professional who uses satellite or airborne sensor data to analyze and interpret information about the Earth's surface and atmosphere. They apply scientific and mathematical principles to process and analyze data collected remotely, often for purposes such as environmental monitoring, natural resource management, or urban planning. Remote Sensing Scientists often work with geographic information systems (GIS) and use specialized software to interpret imagery, detect changes over time, and generate actionable insights. Many positions in this field can be performed remotely, allowing scientists to collaborate with international teams and access global data sources.

What are the key skills and qualifications needed to thrive as a remote remote sensing scientist?

To thrive as a Remote Sensing Scientist, you need expertise in geospatial analysis, image processing, and a strong background in earth sciences or related fields, often supported by an advanced degree. Proficiency in remote sensing software (such as ENVI or ERDAS IMAGINE), geographic information systems (GIS), and programming languages like Python or R is typically required. Critical thinking, attention to detail, and effective communication are essential soft skills for interpreting data and collaborating with multidisciplinary teams. These skills and qualifications are crucial for accurately analyzing satellite or aerial data and producing actionable insights for environmental monitoring, resource management, or research purposes.

How does a remote remote sensing scientist typically collaborate with interdisciplinary teams while working remotely?

As a Remote Sensing Scientist working remotely, you’ll frequently collaborate with experts in fields such as GIS, data analytics, ecology, and engineering. Team communication often takes place through virtual meetings, shared cloud platforms, and collaborative coding or data analysis tools. Strong communication skills are essential to convey technical findings and ensure data integration aligns with project goals. You'll also participate in regular project updates and cross-functional brainstorming sessions to address challenges and share insights.

What is the difference between Remote Remote Sensing Scientist vs Remote GIS Analyst?

AspectRemote Remote Sensing Scientist
CredentialsBachelor's or Master's in Remote Sensing, Geography, or related fields; GIS certifications beneficial
Work EnvironmentPrimarily office or field-based, utilizing satellite and aerial imagery analysis remotely
Employer & IndustryResearch institutions, environmental agencies, and private companies focusing on earth observation
Comparison Search IntentUnderstanding roles involving satellite data analysis and environmental monitoring

Remote Remote Sensing Scientists focus on analyzing satellite and aerial imagery to monitor environmental changes, often requiring specialized remote sensing skills. Remote GIS Analysts work with geographic information systems to manage spatial data, often involving mapping and spatial analysis. While both roles use GIS tools, remote sensing scientists emphasize satellite data interpretation, whereas GIS analysts focus on spatial data management. Both roles are vital in environmental research, urban planning, and resource management, but their core tasks and data types differ.

What are the most commonly searched types of Remote Sensing Scientist jobs in California?

The most popular types of Remote Sensing Scientist jobs in California are:

What are popular job titles related to Remote Remote Sensing Scientist jobs in California?

For Remote Remote Sensing Scientist jobs in California, the most frequently searched job titles are:

What job categories do people searching Remote Remote Sensing Scientist jobs in California look for?

The top searched job categories for Remote Remote Sensing Scientist jobs in California are:

What cities in California are hiring for Remote Remote Sensing Scientist jobs?

Cities in California with the most Remote Remote Sensing Scientist job openings:

Remote Remote Sensing Scientist jobs near you

Soccer Data Scientist

Swish Analytics

San Francisco, CA • On-site, Remote

$130K/yr

Full-time

Re-posted 19 days ago

Job description

Company Description
Swish Analytics is a sports analytics, betting and fantasy startup building the next generation of predictive sports analytics data products. We believe that oddsmaking is a challenge rooted in engineering, mathematics, and sports betting expertise; not intuition. We're looking for team-oriented individuals with an authentic passion for accurate and predictive real-time data who can execute in a fast-paced, creative, and continually-evolving environment without sacrificing technical excellence. Our challenges are unique, so we hope you are comfortable in uncharted territory and passionate about building systems to support products across a variety of industries and consumer/enterprise clients.
Job Description
Swish Analytics is looking for a Soccer Data Scientists to join our ever-growing team! Data Science is at the core of our business, so this team has true ownership and impact over developing core components of Swish's data products. This position is remote from the USA.
Duties:
  • Ideate, develop and improve machine learning and statistical models that drive Swish's core algorithms for producing state-of-the-art sports betting products.
  • Develop contextualized feature sets using sports specific domain knowledge.
  • Contribute to all stages of model development, from creating proof-of-concepts and beta testing, to partnering with data engineering and product teams to deploy new models.
  • Strive to constantly improve model performance using insights from rigorous offline and online experimentation.
  • Analyze results and outputs to assess model performance and identify model weaknesses for directing development efforts.
  • Adhere to software engineering best practices and contribute to shared code repositories.
  • Document modeling work and present to stakeholders and other technical and non-technical partners.

Requirements:
  • Masters degree in Data Analytics, Data Science, Computer Science or related technical subject area
  • Demonstrated experience developing models at production scale for Soccer, or sports betting for 2+ years
  • Expertise in Probability Theory, Machine Learning, Inferential Statistics, Bayesian Statistics, Markov Chain Monte Carlo methods
  • 5+ years of demonstrated experience developing and delivering effective machine learning and/or statistical models to serve business needs in sports or sports betting
  • Experience with relational SQL & Python
  • Experience with source control tools such as GitHub and related CI/CD processes
  • Experience working in AWS environments etc
  • Proven track record of strong leadership skills. Has shown ability to partner with teams in solving complex problems by taking a broad perspective to identify innovative solutions
  • Excellent communication skills to both technical and non-technical audiences

Base Salary: Starting at $130,000
Swish Analytics is an Equal Opportunity Employer. All candidates who meet the qualifications will be considered without regard to race, color, religion, sex, national origin, age, disability, sexual orientation, pregnancy status, genetic, military, veteran status, marital status, or any other characteristic protected by law. The position responsibilities are not limited to the responsibilities outlined above and are subject to change. At the employer's discretion, this position may require successful completion of background and reference checks.
Department Data Science Role Soccer Team Locations San Francisco, CA - Remote Remote status Fully Remote

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