Job Url: https://www.remoterocketship.com/company/synmax/jobs/data-scientist-united-states-remote

Job Description: 
SynMax
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SynMax is a satellite data analytics company specializing in the use of commercial satellite images to monitor oil and gas assets and provide maritime intelligence data. Their flagship products, Hyperion and Theia, offer cutting-edge solutions such as near real-time frac crew monitoring and maritime domain awareness. 

SynMax leverages proprietary AI technology to provide detailed insights and predictions in the oil and gas sector, as well as detect strategic and tactical events in the maritime domain. 


51 - 200 employees

⚡ Energy

🤖 Artificial Intelligence

🚗 Transport

💰 $6M Seed Round on 2022-11

Data Scientist
3 days ago

🤠 Texas – Remote


💵 $100k - $125k / year

⏰ Full Time

🟢 Junior

📊 Data Scientist

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📋 Description
• Work on problems involving diverse data sets – including combinations of images, tabular data, time series and more specialized remote-sensing datasets like SAR or stereo imagery
• Understand the fundamentals of energy production, transport and trading
• Build and maintain data engineering pipelines, SQL databases, machine learning models, unit tests, code documentation and GCP-hosted client-facing services and API endpoints
• Communicate machine learning model results to team members and clients in clear, concise and quantitative terms
• Work independently or in a team, be ready to share ideas, collaborate and learn.

🎯 Requirements
• Bachelor's degree or equivalent experience in quantitative field (Statistics, Physics, Mathematics, Computer Science, Engineering, etc.), advanced degree preferred.
• Python coding experience in an applied setting (job/internship/thesis).
• Deep understanding of predictive modeling, machine-learning, clustering and classification techniques.
• 1–2 years of experience in quantitative research. Data science, ML engineering, or backend development role (internship or academic project experience will be considered).

🏖️ Benefits
• Competitive salary and benefits package.
• Opportunities for professional development and career growth.
• A dynamic and collaborative work environment where innovation is encouraged.
• Access to the latest tools and technologies.

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