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Remote Data Science Astronomy Jobs in Ohio (NOW HIRING)

Vice-President Clinical Affairs

Cincinnati, OH · On-site +1

$76K - $104K/yr

Remote work options may be considered on a case-by-case basis and if approved by the Company ... Provide scientific and operational leadership for statistical planning, data analysis, data ...

Outpatient Coding Consultant - Remote

Toledo, OH · Remote

$18.50 - $23.25/hr

Datavant is the data collaboration platform trusted for healthcare. Guided by our mission to make ... sciences companies. From fulfilling a single patient's request for their medical records to ...

Software Engineer, Senior

Dayton, OH · On-site +1

$119K - $157K/yr

Experience with scientific Python libraries: NumPy, pandas, OpenCV, SciPy, or similar. * Background in signal processing, image processing, or remote sensing data workflows. * Experience with ...

Data Engineer (Remote)

Cleveland, OH · Remote

$111K - $133K/yr

Bachelor's degree in Computer Science, Information Systems, Statistics, or a related field (preferred) * 3-5 years of hands‑on experience in a data engineering role * Strong SQL skills and a solid ...

Software Engineer, Senior

Dayton, OH · On-site +1

$119K - $157K/yr

Experience with scientific Python libraries: NumPy, pandas, OpenCV, SciPy, or similar. * Background in signal processing, image processing, or remote sensing data workflows. * Experience with ...

Showing results 41-60

Remote Data Science Astronomy information

What is a remote data science astronomy?

A Remote Data Science Astronomy job involves using data science techniques, such as statistical analysis, machine learning, and data visualization, to analyze astronomical data and solve problems in astronomy, all while working remotely. Professionals in this role process large datasets collected from telescopes or space missions to discover patterns, classify celestial objects, or make predictions about cosmic phenomena. This position typically requires strong programming skills, familiarity with astronomical datasets, and the ability to work independently from any location.

What are the key skills and qualifications needed to thrive as a remote data science astronomer?

To thrive as a Remote Data Science Astronomer, you need a strong background in astrophysics, statistics, and data analysis, typically supported by a degree in astronomy, physics, or a related field. Proficiency with programming languages such as Python or R, experience with astronomical data processing tools (e.g., Astropy, IRAF), and familiarity with machine learning libraries are commonly required. Strong problem-solving skills, self-motivation, and effective communication are essential soft skills for collaborating remotely and interpreting complex data. These skills enable the accurate extraction of scientific insights from large datasets, drive research innovation, and ensure smooth coordination in distributed scientific teams.

What are some typical challenges faced by remote data science astronomers, and how can they be addressed?

Remote data science astronomers often face challenges related to accessing large datasets, collaborating effectively with distributed teams, and staying updated with the latest research tools. Utilizing cloud-based platforms and secure data-sharing protocols can help manage big astronomical datasets efficiently. Regular virtual meetings and clear communication channels are essential to maintain strong team collaboration. Additionally, participating in online workshops or communities can help remote astronomers stay current with new analytical methods and industry standards.

What is the difference between Remote Data Science Astronomy vs Remote Data Science Astrophysics?

AspectRemote Data Science AstronomyRemote Data Science Astrophysics
Required CredentialsBachelor's or Master's in Astronomy, Data Science, or related fieldsBachelor's or Master's in Astrophysics, Data Science, or related fields
Work EnvironmentResearch institutions, observatories, universities, or tech companiesResearch institutions, observatories, universities, or tech companies
Industry UsageAcademic research, space agencies, tech startups

Remote Data Science Astronomy and Remote Data Science Astrophysics share similar credentials and work environments, often involving research institutions and tech companies. The main difference lies in their focus: Astronomy emphasizes observational data and celestial phenomena, while Astrophysics concentrates on theoretical models and physical processes of celestial bodies. Both roles require strong data analysis skills and relevant educational backgrounds, making them closely related but distinct in their scientific emphasis.

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

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

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

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

What cities in Ohio are hiring for Remote Data Science Astronomy jobs?

Cities in Ohio with the most Remote Data Science Astronomy job openings:

2356 Security Software Data Engineer I

Smart Data

Cincinnati, OH • Remote

$111K - $134K/yr

Full-time

Medical, Dental, Vision, Life, Retirement, PTO

Posted 5 days ago


Job description

For more than three decades, Strategic Data Systems (SDS) has been a software consultancy firm specializing in strategy, technology, and business transformation for Fortune 100 companies, mid-sized firms, and startups. At SDS, we empower our development teams to address our clients’ critical business challenges by leveraging cutting edge technologies. If you seek a workplace where your contributions are truly appreciated, then SDS is the company for you. Join us today to work alongside fellow development specialists and become a crucial part of our dynamic and cohesive community.

Job Title: Security Software Data Engineer

Location: REMOTE EST/CST

Years of Experience: 3-15


TOP SKILLS:

Must Have

  • 3 + years of experience in ETL space
  • AWS
  • Power BI
  • Power Shell Scripting
  • Python

Nice To Have

  • 2+ years of Power BI development experience (including Report Builder, Desktop, and Service)

 

What You’ll Do

 As an Information Security Data Visualization Engineer, you will transform complex cybersecurity data into intuitive, interactive analytical experiences that help analysts, engineers, leaders, and executives make informed decisions. Your primary focus will be designing, developing, and maintaining Power BI dashboards, visualizations, scorecards, and analytical solutions that provide meaningful visibility into critical aspects of the bank's cybersecurity programs.

Working closely with cybersecurity teams, data engineers, product owners, architects, and business stakeholders, you will build and enhance visualization solutions that enable users to explore data, investigate trends, understand relationships, and gain operational insights from complex cybersecurity datasets. Leveraging established requirements, data models, and architectural guidance, you will create highly usable and performant solutions that support both day-to-day operations and strategic decision-making.

In This Role, You Will:

  • Develop and maintain Power BI dashboards, reports, scorecards, and interactive visualizations supporting cybersecurity operations, threat intelligence, engineering, risk management, and leadership functions.
  • Create data models, calculated measures, semantic layers, and visual components using Power BI best practices and established design guidance.
  • Develop highly interactive visualizations that enable users to drill into, filter, correlate, and explore cybersecurity data across multiple dimensions and perspectives.
  • Implement reporting and visualization capabilities using existing requirements, designs, and data models.
  • Work with data pipelines, integrations, and ETL processes that enable reliable and scalable visualization and reporting solutions.
  • Collaborate with cybersecurity, engineering, and business teams to implement reporting and visualization solutions aligned with business and operational objectives.
  • Develop and maintain data quality controls, validation processes, testing practices, and documentation to ensure trust in analytical outputs.
  • Contribute ideas and recommendations to improve visualization capabilities, user experiences, and operational visibility.
  • Participate in Agile activities including story refinement, estimation, sprint planning, retrospectives, and standups.
  • Contribute to peer reviews, testing, deployment, and ongoing support of reporting and visualization solutions.
  • Support continuous improvement efforts focused on usability, performance, scalability, maintainability, and user adoption.
  • Perform other duties as assigned.

What You Should Have

  • Bachelor's degree in Computer Science, Information Systems, Data Analytics, Engineering, or a related field, or equivalent professional experience.
  • 4-6+ years of experience developing business intelligence, data visualization, reporting, analytics, or data engineering solutions.
  • Strong experience with Microsoft Power BI, including dashboard development, report development, data modeling, DAX, performance optimization, and visualization design.
  • Experience designing intuitive, highly interactive visualizations that enable users to explore, analyze, and gain insights from complex datasets.
  • Experience developing Power BI solutions that leverage drill-through, drill-down, bookmarks, dynamic filtering, custom visuals, and other interactive capabilities.
  • Strong SQL skills and experience working with relational databases, data warehouses, and large datasets.
  • Experience building and supporting ETL and data integration processes involving structured and semi-structured data sources.
  • Experience with Python, JavaScript, or another modern programming language used for automation, data processing, or integration development.
  • Experience working with cloud-based data platforms and services, preferably AWS.
  • Understanding of data governance, data quality, data modeling, and reporting best practices.
  • Ability to validate data accuracy and develop automated testing and monitoring for reporting and visualization solutions.
  • Experience working in Agile development environments.
  • Strong communication and collaboration skills with the ability to work effectively with both technical and non-technical stakeholders.
  • Ability to implement scalable reporting and visualization solutions based on established requirements, designs, and business objectives.
  • A continuous improvement mindset with a focus on usability, performance, sustainability, maintainability, and operational excellence.

Preferred Qualifications

  • Experience supporting cybersecurity, threat intelligence, risk management, fraud, compliance, or other data-intensive operational programs.
  • Experience with Snowflake, or similar platforms.
  • Familiarity with Power BI administration, governance, deployment pipelines, workspace management, and security models.
  • Experience developing key risk indicators (KRIs), key performance indicators (KPIs), operational scorecards, or executive reporting solutions.
  • Knowledge of data warehousing concepts, dimensional modeling, semantic modeling, and analytical data design techniques.
  • Experience with Infrastructure as Code and modern cloud-native development practices.
  • Familiarity with cybersecurity data sources, security operations workflows, threat intelligence, vulnerability management, or security analytics.

 

What You’ll Get

SDS, Inc. provides equal employment opportunities (EEO) to all employees and applicants for employment without regard to race, color, religion, gender, sexual orientation, national origin, age, disability, genetic information, marital status, amnesty, or status as a covered veteran in accordance with applicable federal, state, and local laws.

  • Competitive base salary
  • Medical, dental, and vision insurance coverage
  • Optional life and disability insurance provided
  • 401(k) with a company match and optional profit sharing
  • Paid vacation time
  • Paid Bench time
  • Training allowance offering
  • You’ll be eligible to earn referral bonuses!