Data Scientist - AI / Machine Learning / Python / Weather Prediction in United State

Overview

A pioneering, venture-backed tech company is seeking a brilliant Data Scientist to spearhead the R&D of next-generation forecasting products.

This is a hybrid role requiring 3 days in-office in either Golden, CO, or the greater Boston, MA area. Relocation support is available!

Why Join?

This is a unique opportunity to join a dynamic, well-funded startup and make a significant impact. You'll get:

• High Impact: Play a key role in expanding the world's most advanced commercial weather satellite constellation.
• Excellent Rewards: Receive a base salary between $180,000 - $230,000 (DoE), equity in a growing company, and an annual performance bonus of up to 15%.
• Great Benefits: Enjoy 33 days of PTO, a 401(k) plan, and fully paid Medical, Dental, and Vision coverage.

The Company

My client is a leader in Earth observation, operating a powerful, dedicated constellation of weather satellites. They provide critical atmospheric data for forecasting and climate monitoring, helping to improve safety and mitigate risks across the globe.

The Role

As the Data Scientist, you will be at the forefront of innovation, applying advanced machine learning techniques to unique radio occultation data to build groundbreaking weather prediction models.

The Essential Requirements

• Proven experience in a technical role using AI/ML for geophysical prediction (especially weather).
• Deep knowledge of both data science and a geophysical science (meteorology is a plus).
• Experience running, validating, and fine-tuning AI/ML and foundation models.
• Ability to adapt open-source software for business needs.
• Proficiency in Python (or similar) in a Linux environment.

What Will Make You Stand Out

• PhD in a relevant geophysical field (or equivalent experience).
• Experience training AI/ML models from scratch.
• Background in satellite data analysis or signal processing (GNSS/radar).
• Expertise in atmospheric sciences (especially variational data assimilation).
• Familiarity with OSEs / OSSEs for model evaluation.
• Published academic work in a related field.

If you are interested in this role, please apply with your resume through this site.

SEO Keywords for Search

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Disclaimer

Attis Global Ltd is an equal opportunities employer. No terminology in this advert is intended to discriminate on any of the grounds protected by law, and all qualified applicants will receive consideration for employment without regard to age, sex, race, national origin, religion or belief, disability, pregnancy and maternity, marital status, political affiliation, socio-economic status, sexual orientation, gender, gender identity and expression, and/or gender reassignment. M/F/D/V. We operate as a staffing agency and employment business. More information can be found at attisglobal.com.