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How much do computer science astronomy jobs pay per year?

As of Jun 1, 2026, the average yearly pay for computer science astronomy in the United States is $65,428.00, according to ZipRecruiter salary data. Most workers in this role earn between $39,500.00 and $87,000.00 per year, depending on experience, location, and employer.

What is a Computer Science Astronomy job?

A Computer Science Astronomy job involves using computational techniques to analyze astronomical data, create simulations, and develop software for space research. Professionals in this field work on tasks such as processing telescope images, modeling celestial phenomena, and improving data classification using machine learning. They may collaborate with astronomers, engineers, and data scientists to enhance our understanding of the universe. Careers can be found in research institutions, space agencies, and private space technology companies.

What are the key skills and qualifications needed to thrive in the Computer Science Astronomy position, and why are they important?

To thrive in Computer Science Astronomy, you need a strong foundation in both computer science principles (including programming, algorithms, and data analysis) and a solid understanding of astronomical concepts, often supported by at least a bachelor's or advanced degree in a related field. Proficiency in programming languages such as Python or C++, experience with data visualization tools, and familiarity with astronomical data processing software like IRAF or Astropy are advantageous. Strong analytical thinking, problem-solving skills, and the ability to work collaboratively in interdisciplinary teams help set standout candidates apart. These skills and qualities are crucial for efficiently analyzing vast astronomical datasets, developing research algorithms, and advancing discoveries in the field.

What types of projects do professionals in Computer Science Astronomy typically work on?

Professionals in Computer Science Astronomy often engage in projects such as developing software to process telescope data, designing algorithms for detecting celestial events, or creating simulations of astronomical phenomena. Daily tasks might include coding, managing or analyzing large astronomical datasets, and collaborating with astronomers, physicists, and engineers to advance research goals. The work environment typically blends academic research settings, national labs, or observatories with strong teamwork and cross-disciplinary communication. Many roles also offer opportunities to contribute to large-scale collaborations and advance technological innovation within the field. As you progress, you may take on more complex projects or leadership responsibilities that shape future scientific discoveries.
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Computer Science Astronomy jobs near you
Data Science

Data Science

Adidev Technologies Inc

San Francisco, CA • On-site

Full-time

Posted 10 days ago

Job description

Adidev Technologies Inc
www.adidevtechnologies.com
URGENT HIRE - HIRING PROCESS - 24-48 HOURS!
Adidev Technologies is seeking 1-2 yrs of relevant experience in Data Science. A project can last anywhere from 6 months to 18 months. Salary varies depending on experience, and we are in search of candidates looking to start as soon as possible. Excellent written and oral communication are required as is the ability to work well in a team environment.
If you are looking for a new challenge and are ready to make an impact on a growing team, then this will be a perfect fit. As a Data Scientist/Data Science Specialist for Adidev Technologies Inc., you will be enhancing and debugging large-scale applications for one of our well-known clients.
Adidev Technologies is a growing software consulting company that is constantly expanding. As we are working with renowned clients and ready to take on new ones, we are seeking brilliant software engineers. Not only do we offer a great team to work with, but we also offer you an opportunity to make an immediate impact and get rewarded accordingly
Job Description
  • Demonstrated experience using machine learning, deep learning, statistical methodology, and simulation/optimization modeling in geospatial, network topography, recommendation systems, environmental systems, and/or agronomic problems.
  • Strong foundation in Python programming in a cloud environment.
  • Strong quantitative abilities, distinctive problem-solving, and excellent analysis skills
  • Expertise in data wrangling using SQL,
  • Practical knowledge and experience with cloud-computing systems and platforms, including the routine deployment of pipelines through Kubernetes
  • Fluency in querying/extracting/aggregating data via SQL scripting.
  • Extract, load and transform data (ETL) from structured and unstructured sources
  • Apply Natural Language Processing and Computer Vision to solve business use cases,
  • Strong skills in scientific data analyses, modeling, visualization and communication of results.
  • Knowledge of Python libraries (NumPy, Pandas, SciKit-Learn, TensorFlow, PyTorch), Spacy, MongoDB, PostgreSQL, Flask, streamlet and a good knowledge of data pipelines construction
  • Ph.D., M.S. or B.S. in Computer Science, Computational Physics, Operations Research, Geospatial Sciences, Remote Sensing Science, Environmental Sciences, Computational Astronomy or related scientific discipline

Must have
  • Understanding of various machine learning algorithms (e.g. SVM, Random Forests, Gradient Boosting, Log-Log regression, XGBoost, Lasso, Ridge, Clustering techniques, Neural Networks and others)
  • Regression (e.g. ? Linear/Logistic/MNL/Mixed Effects/Regularization)
  • Classification (K-means, Hierarchical, Latent Class, DBScan, SVM)
  • Dimension Reduction techniques (Principal Component analysis, Singular Value Decomposition etc.)
  • Optimization (Linear programming, Stochastic Gradient Descent, Genetic Algorithm etc.)
  • Experience with neural network approaches to text classification CNN, RNN, LSTM,Keras
  • Machine Learning algorithms? Neural Networks, Naïve Bayes, Bagging & Boosting, Random Forest
  • Distributed computing tools and cloud technology (AWS)

QUALIFICATIONS
  • Degree in Data Science, Computer Science, Engineering, Math, or Statistics preferred
  • At least 2 yrs of relevant experience in Data Science

SKILLS
  • SQL, statistical modeling, Feature engineering, Data visualization, Deploying models to production, Python programming, AWS, Domains(Healthcare/ Manufacturing/ Marketing/ Financial/ Telecommunication), powerbi/tableau, data warehouse

Benefits
  • Competitive Salary
  • Paid Relocation
  • Remote Support
  • Guaranteed Regular Salary Reviews
  • Job Type: W2 or Contract 1099 (full-time - 40 hours)

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