
Data Scientist
1 week ago
About Jacob AI Inc.
Jacob AI is at the forefront of the multi-trillion dollar agricultural market, pioneering
the world's first explainable AI platform that unifies human-knowledge with vast
datasets. In an era of rapid change, we've developed a sophisticated, super-
intelligent approach to fuse human knowledge with data from a multitude of disparate
sources, including satellites (GIS), drones, autonomous machinery, sensors, and
operational systems.
Our mission is to empower a diverse range of stakeholders from large-scale farms
and cooperatives to agrochemical conglomerates, insurers, banks, OEMs, and
government bodies. We provide them with an advanced unified data-collection
platform and long-term (ahead of time) multi-seasonal planning tools that boost
yields, profitability, and sustainability through clear, actionable, and explainable
insights.
Role Description
This is a full-time hybrid/on-site role for a Data Scientist, with the option to work
remotely or from our office.
The Data Scientist will be a highly product-oriented and results-driven individual,
responsible for gathering and analyzing massive, disparate datasets from a wide
range of multi-data-points, including satellites (GIS), drones, autonomous machinery,
sensors, and operational systems. You will develop cutting-edge predictive models
and create intuitive data visualization tools, translating complex information into clear,
actionable insights that drive new product features and measure their impact.
This role requires a high degree of collaboration with our cross-cultural and cross-
functional teams spanning the USA, Australia, Brazil, India, Japan, and beyond. You
will be instrumental in a dynamic, sprint-based environment, interpreting data,
identifying trends, and making strategic recommendations that support a new
generation of agricultural planning and sustainability. Your expertise will be vital in
building the next-generational Agri-Heritage while directly impacting the bottom line
of profitability.
What You'll Bring
- 3+ years of experience as a Data Scientist with a strong product-oriented and
results-driven background.
- Strong proficiency in Python, R, and data manipulation tools. This includes
solid expertise with popular libraries like Pandas, Scikit-learn, and deep
learning frameworks such as TensorFlow/PyTorch.
- Experience with advanced, cutting-edge tools for Explainable AI (XAI) and
large-scale data, including SHAP, LIME, Dask, PyCaret, Optuna, and
RAPIDS (cuDF, cuML).
- Experience with
GIS data - Proven experience in unifying and working with diverse, non-traditional
datasets.
- Exceptional communication skills and a collaborative spirit, with a natural
affinity for working with people.
- The ability to work effectively both autonomously and in a leadership capacity.
- A passion for agri-tech, sustainability, and making a tangible impact on the
world.
- A Bachelor's or Master's degree in Data Science, Computer Science,
- Statistics, or a related field.
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