Geospatial Data Scientist - Pixxel
Geospatial
Data Scientist
Organization: Pixxel
Location: Bangalore, Karnataka, India
Geospatial Data Scientist
Pixxel is a space data company building the health monitor for our
planet. We are doing that by building a constellation of some of the world’s
most advanced earth imaging satellites and the analytics platform that will
enable easy application of that data across a multitude of sectors. The fully
deployed constellation will be capable of beaming down high quality imagery of
every place on earth every day. This role will contribute towards developing,
training and delivering deep learning models and tools to extract various
features and value added services using multi-dimensional satellite imagery.
If you love working at the cutting edge of technology and want to contribute
towards making the world a better place by bringing down the benefits of space
down to earth, this is the place for you.
Details on the role:
Responsibilities
- Research and develop scalable analytical
models based on Statistical Techniques and latest Approaches
- Build usecases and Create innovative insights
from the Optical and Microwave imagery data to solve the real world
problems.
- You will also be responsible for building
prototypes in order to validate the company’s business use cases.
Experience
2 – 4 years
Skills/Requirements (essential)
- Prior experience in the Agriculture Technology
(Ag-tech) domain is a must with 2+ years of relevant work experience in
developing crop advisory products.
- Hands-on experience in working with Python,
GIS tools, with a taste for writing maintainable, well-documented and
high-quality code.
- Knowledge in developing statistical based
models for farm based solutions and building scalable products.
- Familiarity in handling and developing
usecases using Synthetic Aperture Radar (Sentinel-1) and Multispectral
(Sentinel-2/Landsat) data.
- Sound understanding of deep learning, image
processing and remote sensing concepts.
- Must have a strong proficiency in programming
languages preferably Python.
- Experience in handling satellite imagery and
other geospatial datasets.
- Should have good problem solving and
analytical skills.
- Good communication and presentation skills.
Skills/Requirements (optional)
- Experience in managing and building data
science pipelines.
- Sound knowledge of best software engineering
practices for all stages of software development life-cycle, including
coding standards, code reviews, testing, deployment.
- Hands-on experience working with large
datasets.
- Experience publishing papers in reputed
journals/conferences.