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Data Science Astronomy Jobs in California (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 ...

Picarro, Inc

Data Scientist

Santa Clara, CA · On-site +1

$130K - $150K/yr

Data Scientist Job Location: Santa Clara, CA (preferred) or Remote - US-based Job Term: Full-Time ... D. or Master's in Physics, Applied Math, Atmospheric or Ocean Science, Astrophysics, Engineering ...

Picarro, Inc

Data Scientist

Santa Clara, CA · On-site

$130K - $150K/yr

Data Scientist Job Location: Santa Clara, CA (preferred) or Remote - US-based Job Term: Full-Time ... D. or Master's in Physics, Applied Math, Atmospheric or Ocean Science, Astrophysics, Engineering ...

Fox

Data Warehousing Specialist

Los Angeles, CA · On-site +1

$183K - $202K/yr

Requires a Bachelor's degree in Computer Science, Computer Engineering, Data Science, Mathematics ... Astronomer or Apache Airflow; and 6) Various AWS services including S3, EC2, EMR, Lambda, RDS ...

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$109K

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How much do data science astronomy jobs pay per year?

As of Sep 1, 2026, the average yearly pay for data science astronomy in California is $109,032.00, according to ZipRecruiter salary data. Most workers in this role earn between $53,367.00 and $154,718.00 per year, depending on experience, location, and employer.

What is a data science astronomy?

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.

What are the most commonly searched types of Data Science Astronomy jobs in California?

The most popular types of Data Science Astronomy jobs in California are:

What are popular job titles related to Data Science Astronomy jobs in California?

For Data Science Astronomy jobs in California, the most frequently searched job titles are:

What job categories do people searching Data Science Astronomy jobs in California look for?

The top searched job categories for Data Science Astronomy jobs in California are:

What cities in California are hiring for Data Science Astronomy jobs?

Cities in California with the most Data Science Astronomy job openings:

Data Science Astronomy jobs near you
Infographic showing various Data Science Astronomy job openings in California as of August 2026, with employment types broken down into 3% Internship, 70% Full Time, 24% Part Time, and 3% Temporary. Highlights an 84% In-person, and 16% Remote job distribution, with an average salary of $109,032 per year, or $52.4 per hour.

Data Science

San Francisco, CA • Remote

Adidev Technologies Inc
IT Services • 11 - 50 employees
Learn more about Adidev Technologies Incexternal

Full-time

Re-posted 12 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)

Employment Type: FULL_TIME

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