2

Entry Level Data Science Astronomy Jobs (NOW HIRING)

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 ...

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 ...

Data Scientist - NYC

Boston, MA · On-site

$100 - $200/hr

Experience with machine learning or adjacent fields (natural language processing, random forests, linear regression, predictive modeling, and entry-level data science concepts) * Experience writing ...

Collaborate closely with data analysts, data engineers, and business and project stakeholders to incorporate their expertise into data science solutions. * Present and defend results to leadership ...

Description Altair Data Resources is seeking an entry-level Data Analyst who is looking for an ... Working towards or completed BS or MS in Mathematics, Computer Science, Data Science, Information ...

next page

Showing results 1-20

Entry Level Data Science Astronomy information

See salary details

$10

$19

$26

How much do entry level data science astronomy jobs pay per hour?

As of Jun 21, 2026, the average hourly pay for entry level data science astronomy in the United States is $19.05, according to ZipRecruiter salary data. Most workers in this role earn between $16.11 and $21.39 per hour, depending on experience, location, and employer.

What is the difference between Entry Level Data Science Astronomy vs Entry Level Data Science Physics?

AspectEntry Level Data Science AstronomyEntry Level Data Science Physics
Required CredentialsBachelor's in Astronomy, Data Science, or related fieldsBachelor's in Physics, Data Science, or related fields
Work EnvironmentResearch institutions, observatories, universitiesResearch labs, universities, tech companies
Industry UsageAstrophysics, space agencies, academiaScientific research, technology, academia
Common Search IntentComparing roles in astronomy and data scienceComparing physics and data science roles

Entry Level Data Science Astronomy focuses on analyzing astronomical data, often within research or space agencies, requiring knowledge of astronomy and data analysis. Entry Level Data Science Physics involves applying data science skills to physics research, with a broader application in scientific and tech industries. While both roles require similar data science skills and educational backgrounds, their focus areas and work environments differ based on their scientific disciplines.

More about Entry Level Data Science Astronomy jobs
What cities are hiring for Entry Level Data Science Astronomy jobs? Cities with the most Entry Level Data Science Astronomy job openings:
What are the most commonly searched types of Data Science Astronomy jobs? The most popular types of Data Science Astronomy jobs are:
What states have the most Entry Level Data Science Astronomy jobs? States with the most job openings for Entry Level Data Science Astronomy jobs include:
Infographic showing various Entry Level Data Science Astronomy job openings in the United States as of June 2026, with employment types broken down into 17% Locum Tenens, 50% As Needed, and 33% Temporary. Highlights an 97% Physical, 1% Hybrid, and 2% Remote job distribution, with an average salary of $39,629 per year, or $19.1 per hour.
Data Science

Full-time

Posted 11 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)