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Data Science Astronomy Jobs (NOW HIRING)

Adidev Technologies Inc

Data Science

San Francisco, CA · Remote

As a Data Scientist/Data Science Specialist for Adidev Technologies Inc., you will be enhancing and ... Astronomy or related scientific discipline Must have * Understanding of various machine learning ...

Adidev Technologies Inc

Data Science

San Francisco, CA · On-site

As a Data Scientist/Data Science Specialist for Adidev Technologies Inc., you will be enhancing and ... Astronomy or related scientific discipline Must have * Understanding of various machine learning ...

Adidev Technologies Inc

DATA SCIENTIST

Austin, TX · On-site

As a Data Scientist/Data Science Specialist for Adidev Technologies Inc., you will be enhancing and ... Remote Sensing Science, Environmental Sciences, Computational Astronomy or related scientific ...

GRVTY

Data Scientist 2

Honolulu, HI · On-site

We are actively searching for Data Scientists, located in Hawaii, to support our team. We have ... astronomy), or other science disciplines with a substantial computational component (i.e ...

Adidev Technologies Inc

DATA SCIENTIST

Austin, TX · Remote

As a Data Scientist/Data Science Specialist for Adidev Technologies Inc., you will be enhancing and ... Remote Sensing Science, Environmental Sciences, Computational Astronomy or related scientific ...

Gormat

Data Scientist 3

Annapolis Junction, MD · On-site

$132K - $147K/yr

We are seeking a Data Scientist proficient in Python and Spark with experience working with large ... astronomy), or other science disciplines with a substantial computational component (i.e ...

Gormat

Data Scientist 3

Annapolis Junction, MD · On-site

$132K - $147K/yr

We are seeking a Data Scientist proficient in Python and Spark with experience working with large ... astronomy), or other science disciplines with a substantial computational component (i.e ...

Gormat

Data Scientist 3

Annapolis Junction, MD

We are seeking a Data Scientist proficient in Python and Spark with experience working with large ... astronomy), or other science disciplines with a substantial computational component (i.e ...

Caltech

Application Developer

Pasadena, CA · On-site

Come be a part of the team that is helping astronomers and data scientists all over the world access and explore astronomy data! AstroFetch uses large language models to translate natural-language ...

Gormat

Data Scientist 3

Annapolis Junction, MD · On-site

$132K - $147K/yr

We are seeking a Data Scientist proficient in Python and experienced in automating workflows, data ... astronomy), or other science disciplines with a substantial computational component (i.e ...

GRVTY

Data Scientist 2

Annapolis Junction, MD

We have varying levels of Data Scientist roles, depending on years of experience and education ... astronomy), or other science disciplines with a substantial computational component (i.e ...

iNovex Information Systems

Data Scientist

Annapolis, MD · On-site

$119K - $285K/yr

Job Brief Data Science, Python, Jupyter Are you VIGILANT about your career? RealmOne definitely is ... astronomy), or other science disciplines with a substantial computational component (i.e ...

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Data Science Astronomy information

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$15.5K

$111.3K

$208K

How much do data science astronomy jobs pay per year?

As of Jun 21, 2026, the average yearly pay for data science astronomy in the United States is $111,345.00, according to ZipRecruiter salary data. Most workers in this role earn between $54,500.00 and $158,000.00 per year, depending on experience, location, and employer.

What are 5 potential jobs for astronomy?

Potential jobs for astronomy graduates include astrophysicist, research scientist, data analyst, telescope operator, and science communicator. These roles often require strong analytical skills, programming knowledge, and familiarity with astronomical data and tools such as Python, MATLAB, or telescope software.

What is a Data Science Astronomy job?

A Data Science Astronomy job combines data science techniques with astronomical research to analyze vast amounts of space-related data. Professionals in this field work with large datasets from telescopes, satellites, and simulations, using machine learning, statistical methods, and computational tools to uncover insights about the universe. They may be involved in tasks like detecting exoplanets, analyzing galaxy formations, or improving automated data processing in observatories. This role typically requires expertise in programming, data analysis, and domain knowledge in astronomy.

What types of projects or datasets do Data Science Astronomy professionals typically work with?

Data Science Astronomy professionals often work on projects involving the analysis of massive datasets from telescopes, satellites, or astronomical surveys, such as those compiled by the Sloan Digital Sky Survey or the James Webb Space Telescope. Their responsibilities may include cleaning and processing raw observational data, developing predictive models, and uncovering patterns related to cosmic phenomena like exoplanets, galaxies, or dark matter. Collaboration with astronomers, software engineers, and other scientists is common, fostering a dynamic and innovative environment. Working with these diverse datasets presents exciting challenges and offers opportunities to contribute to groundbreaking discoveries in the field.

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

To thrive as a Data Science Astronomy professional, you need a solid background in statistics, astrophysics, programming (often in Python or R), and experience with large datasets, usually supported by an advanced degree in astronomy, physics, or a related field. Familiarity with machine learning libraries, data visualization tools, and astronomy-specific databases or software like Astropy and SQL is highly beneficial. Strong analytical thinking, problem-solving abilities, and the capacity to collaborate in interdisciplinary teams are essential soft skills. These competencies enable accurate analysis of astronomical data, practical scientific discovery, and effective teamwork in research or applied settings.

Is data science used in astronomy?

Data science is extensively used in astronomy to analyze large datasets from telescopes and space missions, helping scientists discover patterns and make predictions. Data scientists in this field often work with tools like Python, R, and machine learning algorithms to process and interpret astronomical data.

Does NASA hire data scientists?

Yes, NASA hires data scientists to analyze large datasets related to space missions, astronomy, and Earth sciences. These roles often require skills in programming, statistical analysis, and experience with tools like Python, R, or SQL, and may involve working on mission-critical projects within a collaborative environment.

What is the salary of a data scientist at NASA?

A data scientist at NASA typically earns a salary within the federal government's General Schedule (GS) pay scale, ranging from GS-11 to GS-14, which translates to approximately $55,000 to $130,000 annually depending on experience, education, and location. Additional benefits include federal health insurance, retirement plans, and opportunities to work on space and scientific research projects. Salaries are often complemented by specialized skills in data analysis, machine learning, and programming tools like Python or R.
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Data Science Astronomy jobs near you
Data Science

Data Science

Adidev Technologies Inc

San Francisco, CA • Remote

Full-time

Posted 10 hours 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)

Employment Type: FULL_TIME

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