Remote Sensing Scientist

Land IQ; Sacramento (CA); Remote; USD 85,000 - 115,000; Full time

Job summary

An established industry player is seeking a Remote Sensing Scientist to join its dynamic team in Sacramento. This role involves leveraging advanced data-driven analytics and algorithm development to tackle agricultural and environmental challenges. The ideal candidate will collaborate with experts in remote sensing and GIS, utilizing cutting-edge machine learning techniques to develop innovative solutions. If you are passionate about data analysis and eager to contribute to impactful projects in an exciting team environment, this opportunity is perfect for you.

Qualifications

• 0-5 years of experience in remote sensing and GIS.
• Proficient in machine learning algorithms and programming in Python.

Responsibilities

• Support projects with remote sensing analysis and GIS.
• Develop innovative image analysis solutions for agricultural applications.

Skills

Remote Sensing

GIS

Machine Learning Algorithms

Data Analysis

Communication Skills

Education

MS in Remote Sensing

MS in Geography

MS in Data Sciences

Tools

Python

Keras

TensorFlow

NumPy

SciPy

Geopandas

Matplotlib

Scikit-Learn

Job description

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Land IQ, LLC is seeking a Remote Sensing Scientist in its Sacramento, California office with a specialization in data driven analytics and algorithm development with digital images for agricultural and other land use applications (crop classification, yield modeling, land use impacts, land use change, etc.).

The successful Remote Sensing Scientist candidate will be responsible for working with our growing geospatial team comprised of remote sensing/GIS experts and a range of agronomic, environmental, and other land-based science disciplines. Applicants must have strong analytical, remote sensing and GIS skills and an exceptionally strong understanding of machine learning algorithms. This is an environmental consulting position requiring ability to develop analysis approaches/methodology and work within a team to optimize methods. The applicant must have good communication skills, readily work in a team environment, demonstrate ability to manage multiple tasks and perform work on time and within budget resources.

Land IQ specializes in providing solutions to challenging agricultural and environmental problems throughout the western United States. Our areas of expertise include remote sensing, geospatial analysis, GIS, soil science, water quality and demand evaluation, agricultural systems, salinity and nutrient management, ecosystem restoration, statistics, and regulatory policy.

Office Locations:Sacramento, CA

Hiring Timeframe:Immediate

Salary:$85,000 - $115,000 depending on experience

Primary Responsibilities:

• Work in a team environment on a wide range of projects, supporting our team of scientists, remote sensing analysts, and GIS analysts
• Organized and methodical with communications and work documentation
• Understand geospatial challenges and conceptualize and articulate analysis approach ideas within a multi-disciplinary team
• Develop and perform raster-based imagery analysis procedures, spatial and statistical modeling applications
• Perform and develop advanced object-based image analysis procedures and methodologies for earth science applications
• Develop and implement remote sensing and statistical methodologies to perform land use and land cover classification (crop classification)
• Develop innovative image analysis solutions using a wide array of data sources
• Resourceful in seeking, preparing, and/or creating raster & vector data
• Leverage a strong understanding of multispectral imagery characteristics to solve complex agricultural and environmental land-based problems

Required Qualifications:

Education:MS Remote Sensing/Geography/Data Sciences field

Experience:0-5 years of experience in at least one of the following areas:

• Remote sensing-based land cover mapping over agricultural areas and crop classification;
• Image based time series analysis and crop phenology modeling;
• Remote sensing of crop evapotranspiration; and/or
• Image based crop yield modeling.

Required Technical Capabilities:

• Proficient at remote sensing modeling (e.g., data cleaning, feature selection, analysis, designing, building, and model assessment).
• Proficient at advanced spatial analysis and geoprocessing (e.g., image segmentation, object-based image analysis).
• Proficient at machine learning algorithms, familiar with algorithms like Generalized Linear Model, Random Forest, CART, and/or deep learning.
• Familiar with deep learning platforms (e.g., Keras, Tensorflow) and related classification and segmentation algorithms.
• Strong programming skills with Python.
• Experienced in Python packages like NumPy, SciPy, Geopandas, Matplotlib, Scikit-Learn, Keras.

Professional Approach

Strong organizational, communication and writing skills, positive/enthusiastic attitude, passionate about professional pursuits, personable, ability and desire to learn, and attention to detail, strong moral and ethical personal standards.Enthusiastic about collaborating with team members to reach team and organizational goals. Team player.

Seniority level

• Seniority level

  Entry level

Employment type

• Employment type

  Full-time

Job function

• Job function

  Research, Analyst, and Information Technology

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