Data Scientist Expert

21 hours ago

Albuquerque, New Mexico, United States ZipRecruiter Full time
Job Title: Data Scientist Expert

About Us:

Stellar Science is a growing company based in Albuquerque, NM, seeking talented data science AI/ML experts who are interested in helping create and apply exciting scientific analysis applications.


Estimated Salary: $120,000 - $180,000 per year

Description:

We develop custom software products in domains that include computer vision, image processing, high power microwave systems modeling and simulation, laser source and effects modeling, computational electromagnetics, space situational awareness, high performance computing, and computer aided design tools, among others. Our projects employ AI/ML methods and techniques such as surrogate modeling, deep learning, classification, and generative models.


Your Responsibilities:
  • Help to develop novel AI/ML models and use AI/ML in data analysis to gain new insights into experimental and simulation-based datasets by applying innovative processing and visualization techniques.
  • Optimize performance, accuracy, and utility of modeling and simulation systems.

Requirements:
  • B.S. in ML/AI related field such as computer science, data science, statistics, applied mathematics, physics, engineering.
  • Knowledge of a variety of machine learning applications and concepts, as well as their real-world advantages/drawbacks.
  • Experience with Python and related data science libraries and/or C++ development for integration into statistical and/or machine learning applications.
  • Experience writing programs or scripts to manipulate data and draw insights from large data sets.
  • Experience with machine learning and deep learning frameworks such as PyTorch and TensorFlow.
  • Strong experience using a variety of data mining/data analysis methods, building and implementing models, using/creating algorithms, and creating/running simulations.

Desired Qualifications:
  • M.S. or Ph.D. in Data Science or other quantitative, scientific, or engineering field, with substantial scientific analysis experience.
  • 2+ years of post-doctoral or industry experience as a Data Scientist or Data Analyst.
  • Experience in one or more of the following: time series analysis, reinforcement learning, instance detection, robust principal component analysis, and/or physics-informed neural networks.
  • Experience working within a software production environment involving C, C++, Java, and/or JavaScript.
  • Excellent written and verbal communication skills for coordinating across teams.
  • Experience running simulation and analysis processes on scalable computing architectures including clusters, cloud-based services, or supercomputers.
  • Experience with version control such as Git or SVN.

Additional Information:

Code sample or coding evaluation required. US citizenship required + willingness to undergo a background investigation. Active Security Clearance is a plus. Extremely flexible work schedule, hybrid workplace model, & generous benefits.

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