Buluttan is a weather intelligence company operating currently in Turkey. We are working with large scale weather data and providing critical weather forecasts & alerts & algorithms for various industries. These include, but not limited to, renewable energy, mobility, logistics, etc… 

We do love meteorology and would like to mix it with cutting edge technology. Buluttan is highly invested in climate change research and its effects on people & companies. 

https://www.buluttan.com/

https://tr.linkedin.com/company/buluttan

We're Seeking: 

We are looking for a Senior Data Scientist with an interest in meteorology and a passion to build renewable energy forecasting algorithms & extreme weather alert systems. The successful candidate will have a deep understanding of machine learning algorithms and a passion for leveraging data-driven solutions to solve complex meteorological challenges.

The candidate will also lead Buluttan’s EU-Horizon project that aims to do pure AI based weather forecasting borrowing concepts from the generative AI world.

Job Responsibilities

• Design and implement regression based machine learning algorithms to improve the accuracy of short-term weather forecasts, focusing on renewable energy production and extreme weather alerts.

• Analyze and interpret spatially complex datasets related to numerical weather prediction (NWP) models, radar and satellite imagery, atmospheric and climate variables.

• Take the leadership role in Buluttan’s EU-Horizon project and collaborate with leading meteorology organizations from Europe to come up with a large foundational weather forecasting model

• Deploy machine learning models to production, analyze and track their performance

• Work closely with our meteorology team and continually improve existing models based on changing climate patterns and research advances.

• Stay ahead of the latest developments in the field of meteorology & data science and drive Buluttan’s AI vision in meteorology.

Requirements:

• Doctorate/Masters in Data Science, Mathematics, Statistics, Meteorology, Computer Science, or related field

• 3+ years customer-facing, project-delivery experience, professional services, and/or consulting experience.

• Proven experience in developing & implementing & maintaining machine learning algorithms, preferably with time series regression & forecasting algorithms.

• Proficient in Python, familiarity with GCP & data engineering pipelines.

• Experience with data visualization tools and libraries.

• Strong analytical skills, with excellent problem-solving abilities.

• Strong communication and team leadership skills.

Nice to have

• Experience working with weather data, radar and satellite image recognition.

• Passion for meteorology and playing with weather data

• Kaggle Level Expert or Master

• An active stance on climate change & sustainability