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Machine Learning Astronomy Jobs in Chicago, IL (NOW HIRING)

Machine Learning Astronomy information

See Chicago, IL salary details

$26.3K

$43.9K

$90.7K

How much do machine learning astronomy jobs pay per year?

As of Jul 26, 2026, the average yearly pay for machine learning astronomy in Chicago, IL is $43,867.00, according to ZipRecruiter salary data. Most workers in this role earn between $33,500.00 and $47,400.00 per year, depending on experience, location, and employer.

What is the difference between Machine Learning Astronomy vs Data Scientist?

AspectMachine Learning AstronomyData Scientist
Required CredentialsDegree in Astronomy, Physics, or related fields; knowledge of machine learningDegree in Computer Science, Statistics, or related fields; strong programming skills
Work EnvironmentResearch institutions, observatories, academiaCorporate, tech companies, consulting firms
Industry UsageAnalyzing astronomical data, developing models for celestial phenomenaBusiness analytics, predictive modeling, data visualization

Machine Learning Astronomy focuses on applying machine learning techniques to astronomical data within research settings, while Data Scientists work across various industries analyzing data to inform business decisions. Both roles require strong analytical skills and programming knowledge but differ in domain focus and work environment.

What are 5 potential jobs for astronomy?

Potential jobs for astronomy graduates include research scientist at observatories or universities, data analyst for space agencies, astrophysics researcher, science communicator or educator, and software developer for astronomical data analysis. These roles often require strong analytical skills, programming knowledge, and familiarity with telescopes or data processing tools.

How much do machine learning engineers make at NASA?

Machine learning engineers at NASA typically earn between $90,000 and $150,000 annually, depending on experience, education, and security clearance levels. Salaries may also vary based on location and specific project responsibilities, with some roles requiring expertise in data analysis, programming, and scientific computing tools.

What is machine learning astronomy?

Machine learning astronomy is the application of machine learning techniques to analyze and interpret astronomical data. This field combines computer science, statistics, and astronomy to automate tasks such as classifying celestial objects, detecting anomalies, and predicting astronomical events. With the increasing volume of data from telescopes and space missions, machine learning helps astronomers process and extract meaningful insights more efficiently. Researchers in this area develop algorithms that can learn patterns from vast datasets, leading to new discoveries and a deeper understanding of the universe.

What are the key skills and qualifications needed to thrive as a Machine Learning Astronomer, and why are they important?

To thrive as a Machine Learning Astronomer, you need a strong background in astrophysics, statistical analysis, and programming (often with a PhD in a related field). Proficiency with machine learning frameworks (such as TensorFlow or PyTorch), data processing tools, and astronomical data systems is essential. Critical thinking, problem-solving, and effective collaboration are key soft skills for innovating solutions and working within research teams. These skills enable the effective analysis of large astronomical datasets, driving new discoveries and advancements in the field.

Does NASA have machine learning engineers?

NASA employs machine learning engineers to develop algorithms for data analysis, spacecraft navigation, and scientific research. These roles often require expertise in programming, data science, and tools like Python and TensorFlow, with positions available through federal job portals and NASA's career website.

What are some common challenges faced by professionals working in machine learning astronomy?

Machine learning astronomers often encounter challenges such as handling extremely large and complex datasets, ensuring data quality, and effectively preprocessing astronomical data to reduce noise and artifacts. Additionally, interpreting model results in a scientific context can be demanding, as it requires both technical expertise and domain knowledge. Collaboration with astronomers, data engineers, and software developers is essential to ensure that machine learning models are both accurate and scientifically meaningful.

Can AI replace astronomers?

Machine Learning Astronomers use AI to analyze large datasets, identify patterns, and make predictions about celestial phenomena. While AI can automate data processing and assist in research, it does not replace the need for human expertise in designing experiments, interpreting results, and making scientific judgments. The role of astronomers remains essential for guiding AI applications and advancing understanding of the universe.
What job categories do people searching Machine Learning Astronomy jobs in Chicago, IL look for? The top searched job categories for Machine Learning Astronomy jobs in Chicago, IL are:
What cities near Chicago, IL are hiring for Machine Learning Astronomy jobs? Cities near Chicago, IL with the most Machine Learning Astronomy job openings:
Infographic showing various Machine Learning Astronomy job openings in Chicago, IL as of July 2026, with employment types broken down into 2% Locum Tenens, 65% As Needed, 22% Full Time, 9% Part Time, and 2% Summer. Highlights an 64% Physical, 1% Hybrid, and 35% Remote job distribution, with an average salary of $43,867 per year, or $21.1 per hour.
Senior BI Engineer (Hybrid)

Senior BI Engineer (Hybrid)

Enova International

Chicago, IL • On-site, Remote

$72K - $105K/yr

Full-time

Medical, Dental, Vision, Retirement, PTO

Posted 29 days ago


Enova International rating

6.8

Company rating: 6.8 out of 10

Based on 5 frontline employees who took The Breakroom Quiz


Job description

We are interested in every qualified candidate who is eligible to work in the United States. However, we are not able to sponsor visas or take over sponsorship at this time.
About the role:
We live and breathe data at Enova - and this role sits at the center of it. As a Senior Business Intelligence Engineer, you will design, develop, and maintain robust reporting solutions and analytic applications that power decision-making across Finance, Marketing, Operations, Compliance, and more.
You will partner directly with business owners to gather requirements, translate them into scalable BI solutions, and take ownership of the full project lifecycle - from scoping through delivery and ongoing support. You will also play a key role in advancing our use of AI across the BI and data development workflow, leveraging modern tools to accelerate insight delivery and drive strategic impact.
Responsibilities:
  • Partner with stakeholders across all our PnLs, Marketing, Operations, Accounting, and Finance to understand data needs and deliver actionable reporting solutions
  • Lead technical initiatives end-to-end from architecting the solution to collaborating with peers on execution
  • Design, implement, and maintain complex, multi-layered SQL and Python processes for reporting and analytics
  • Architect and enhance ETL/ELT pipelines using Astronomer Airflow and other modern orchestration tools
  • Operates as a senior member of the team: leads projects end-to-end from scoping and design through delivery and support
  • Build, optimize, and support data marts and data warehouse solutions using Snowflake
  • Develop and maintain dashboards and reports in Strategy(MSTR) and/or comparable BI tools
  • Proactively identify and implement AI use cases across various business units, leveraging Enova's AI tech stack(Claude, AWS Bedrock, Gemini, and more) to drive adoption
  • Advise on best practices, innovative designs, and emerging BI technologies

Requirements:
  • Expert-level SQL and database skills - writing high-quality, performant queries is a core part of this role
  • Strong experience with relational databases and cloud data warehouses (Snowflake, Databricks, BigQuery, or AWS Redshift)
  • Strong grasp of data warehousing and data mart concepts, including dimensional modeling (star schema, slowly changing dimensions, etc.)
  • 4+ years designing and implementing ETL/ELT pipelines; hands-on experience with Astronomer (Apache Airflow) or similar orchestration tools
  • 4+ years working with enterprise BI and visualization tools - MicroStrategy, Tableau, Looker, PowerBI, or equivalent
  • Experience leveraging AI tools in day-to-day work - coding assistants, agents, and identifying new use cases (e.g., Claude, Gemini, AWS Bedrock) - with a curiosity to push adoption further
  • Strong business acumen - ability to understand domain context and translate business needs into technical data solutions
  • Proven experience working directly with senior management and cross-functional stakeholders to gather requirements and define success

Nice to have:
  • Proficiency in Python for data transformation, pipeline automation, and analytics

Compensation:
This position includes various levels within our career ladder. The actual annual salary will be determined based on qualifications, skills, experience, and level assessed during the hiring process and may fall outside of the ranges shown.
Budgeted annual salary ranges:
Senior BI Engineer I: $72,000-105,000
Senior BI Engineer II: $80,000-115,000
Additional compensation for this role may include a bonus. All full-time employees are eligible to participate in Company benefits, described in more detail here.
Benefits & Perks:
  • Our hybrid roles require in-office work Tuesday through Thursday, with remote flexibility on Mondays and Fridays. This schedule fosters collaboration, team connection, and strategic planning, enhancing communication and effectiveness to drive results.
  • Health, dental, and vision insurance including mental health benefits
  • 401(k) matching plus a roth option (U.S. Based employees only)
  • PTO & paid holidays off
  • Sabbatical program (for eligible roles)
  • Summer hours (for eligible roles)
  • Paid parental leave
  • DEI groups (B.L.A.C.K. @ Enova, HOLA @ Enova, Women @ Enova, Pride @ Enova, South Asians @ Enova, APEX @ Enova, and Parents @ Enova)
  • Employee recognition and rewards program
  • Charitable matching and a paid volunteer day...Plus so much more!

About Enova
Enova International is a leading financial technology company that provides online financial services through our AI and machine learning-powered Colossus™platform. We serve non-prime consumers and businesses alike, while offering world-class technology and services to traditional banks-in order to create accessible credit for millions.
Being a values-driven organization is at the core of Enova's success. We live our values by listening to our customers, challenging assumptions, thinking big, setting high expectations, and hiring and developing the best. Through our values and our commitment to making Enova an awesome place to work, we maintain an environment of inclusion and culture where our employees can thrive. You can learn more about Enova's values and culture here.
It is our policy to provide equal employment opportunity for all persons and not discriminate in employment decisions by placing the most qualified person in each job, without regard to any other classification protected by federal, state, or local law. California Applicants: Click here to review our California Privacy Policy for Job Applicants.

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