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Remote Data Science Physics Jobs in Kentucky (NOW HIRING)

$94K - $113K/yr

Working closely with data scientists, analysts, and other stakeholders to deliver high-quality data ... Remote apply for this job

$94K - $113K/yr

Working closely with data scientists, analysts, and other stakeholders to deliver high-quality data ... Remote apply for this job

VP Engineering and R&D - AI Startup

Louisville, KY · Remote

$172K - $221K/yr

Master or Ph.D. in Computer Science, Mathematics, Physics, Engineering, Statistics, Operation ... Experience managing a team of data scientists and AI researchers and engineers using Agile ...

VP Engineering and R&D - AI Startup

Louisville, KY · On-site +1

$172K - $221K/yr

Master or Ph.D. in Computer Science, Mathematics, Physics, Engineering, Statistics, Operation ... Experience managing a team of data scientists and AI researchers and engineers using Agile ...

Data Engineer (Remote)

Louisville, KY · On-site +1

$110K - $132K/yr

Bachelor's degree in Computer Science, Computer Engineering, Information Technology, or a related field; or equivalent experience * 5+ years of experience in data engineering or business intelligence ...

Data Engineer (Remote)

Louisville, KY · On-site +1

$104K - $125K/yr

Bachelor's degree in Computer Science, Computer Engineering, Information Technology, or a related field; or equivalent experience * 5+ years of experience in data engineering or business intelligence ...

Data Engineer (Remote)

Louisville, KY · On-site +1

$104K - $125K/yr

Bachelor's degree in Computer Science, Computer Engineering, Information Technology, or a related field; or equivalent experience * 5+ years of experience in data engineering or business intelligence ...

Meteorologist

Jackson, KY · On-site +1

$40K/yr

Degree in Meteorology, Atmospheric Science, or another natural science major that includes: * At ... hours in remote sensing of the atmosphere and/or instrumentation * 6 semester hours of physics ...

This will be a remote position that requires residency in KY or IN. The AI Manager will play a ... Bachelor's degree in data science, computer science, Engineering, Informatics, Healthcare or ...

This will be a remote position that requires residency in KY or IN. The AI Manager will play a ... Bachelor's degree in data science, computer science, Engineering, Informatics, Healthcare or ...

Our remote-first team is globally distributed around the world: USA , UK , the Netherlands , Serbia ... Data Science, ML/AI, Software Engineering, or a related quantitative field such as Physics or ...

Remote micro1 is engaging PhD-level Engineers in Electrical, Mechanical, or Chemical disciplines to ... Analyze data and interpret results to inform AI training datasets with precision * Apply ...

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Remote Data Science Physics information

What is the difference between Remote Data Science Physics vs Remote Data Science Engineering?

AspectRemote Data Science PhysicsRemote Data Science Engineering
Required CredentialsPhysics degree, data science certificationsEngineering degree, data science certifications
Work EnvironmentResearch labs, tech companies, academiaTech firms, manufacturing, software companies
Industry UsageScientific research, academia, tech innovationProduct development, systems engineering, software solutions

Remote Data Science Physics focuses on applying physics principles to data analysis and modeling, often in research or scientific contexts. Remote Data Science Engineering emphasizes developing data-driven products and systems within engineering and technology sectors. While both roles require data science skills, their industry applications and focus areas differ significantly.

What are the key skills and qualifications needed to thrive as a Remote Data Science Physicist, and why are they important?

To thrive as a Remote Data Science Physicist, you need a strong background in physics, statistics, and mathematics, typically supported by a relevant degree (such as Physics or Data Science) and experience with data analysis. Proficiency with programming languages like Python or R, machine learning frameworks, and data visualization tools is essential, along with familiarity with cloud-based collaboration platforms. Excellent problem-solving skills, communication, and self-motivation are crucial soft skills for remote work and interdisciplinary collaboration. These skills ensure accurate data-driven insights, effective teamwork, and successful project delivery in a remote environment.

How do remote data science physicists typically collaborate with multidisciplinary teams despite working offsite?

Remote data science physicists often work closely with software engineers, domain scientists, and project managers through virtual collaboration tools such as Slack, Zoom, and cloud-based platforms for data sharing and analysis. Regular online meetings, shared documentation, and version-controlled repositories (like GitHub) are essential for maintaining clear communication and workflow alignment. While remote work offers flexibility, it requires proactive communication and strong organizational skills to ensure seamless integration with the broader research or product development team.

What is a Remote Data Science Physics job?

A Remote Data Science Physics job involves using data science tools, such as statistical analysis, machine learning, and programming, to solve problems or analyze data related to physics, all while working from a remote location. Professionals in this field may work on projects like simulations, data modeling, or research for academic or industry settings. They apply their understanding of physics concepts alongside data science skills to extract meaningful insights from large and complex datasets. This role often requires proficiency in programming languages like Python or R, knowledge of data analysis techniques, and a strong foundation in physics.
What are the most commonly searched types of Data Science Physics jobs in Kentucky? The most popular types of Data Science Physics jobs in Kentucky are:
What job categories do people searching Remote Data Science Physics jobs in Kentucky look for? The top searched job categories for Remote Data Science Physics jobs in Kentucky are:
What cities in Kentucky are hiring for Remote Data Science Physics jobs? Cities in Kentucky with the most Remote Data Science Physics job openings:
Azure Data Engineer - Remote, Latin America

Azure Data Engineer - Remote, Latin America

Bluelight Consulting

On-site, Remote

$94K - $113K/yr

Full-time

Re-posted 23 days ago


Job description

Bluelight is a leading software consultancy dedicated to designing and developing innovative technology that enhances users' lives. With a steadfast commitment to delivering exceptional service to our clients, Bluelight excels in its focus on quality and customer satisfaction. Our mission is not only to create cutting-edge applications but also to foster a collaborative and enriching work environment where each team member can grow and thrive. With a presence across the United States and Central/South America, Bluelight is in an exciting phase of expansion, continually seeking exceptional talent to join its dynamic and diverse community.

As an ETL Data Engineer, you will play a critical role in our client's expanding data engineering team, designing, developing, and maintaining data integration processes primarily using Python (PySpark) and Azure Synapse Analytics to ensure the accuracy and availability of analytical data. Working closely with data scientists, analysts, and other stakeholders to deliver high-quality data for insights and decision-making, this position is ideal for a passionate software development professional who thrives in a fast-paced, dynamic environment where everyone's opinions and efforts are valued. By joining our client's growing software consultancy, you will have the opportunity to contribute to challenging, market-standing projects within a collaborative community that deeply values hard work, continuous learning, personal growth, and professional development.
Responsibilities
  • ETL Data Engineering: Develop and maintain ETL data engineering processes using Python (PySpark) within Azure Synapse Analytics Notebooks, and/or Azure Synapse Analytics Pipelines, to ensure efficient data extractions, transformation, and loading.
  • Data Warehousing: Apply your expertise in data warehousing, understanding star schemas, facts, and dimensions, to design and build effective data storage structures in a Massively Parallel Processing (MPP) SWL Pool.
  • Data Source Expertise: Extract data from various sources, including REST APIs, SWL database tables, and CSV files.
  • Azure Synapse Analytics Expertise: Utilize your deep knowledge of Azure Synapse Analytics to design and optimize data notebooks/pipelines for scalability and performance.
  • Data Fabric Concepts: Contribute to the implementation and understanding of other Data Fabric concepts, such as data lakes, lakehouses, delta lakes, and data cataloging, to enhance data management capabilities.
  • Data Modeling: Collaborate with data architects to create data models and schemas that align with business requirements.
  • Data Quality: Implement data quality checks and validation processes to maintain data accuracy and consistency.
  • Performance Tuning: Identify and resolve performance bottlenecks and optimize ETL data notebooks/pipelines to meet SLAs.
  • Monitoring and Troubleshooting: Monitoring ETL jobs, diagnose issues, and implement solutions to ensure data pipeline reliability.
  • Documentation: Maintain comprehensive documentation of ETL data engineering processes, data flows, and data transformations.
  • Collaboration: Work closely with cross-functional teams to understand data requirements and provide support for data-related initiatives.
  • Security and Compliance: Ensure data security and compliance with data governance and privacy standards.
Qualifications
  • Bachelor's degree in Computer Science, Information Technology, or a related field; or equivalent work experience, with certifications related to data engineering or data science (e.g. Azure Data Engineer) being a plus.
  • Proven experience in ETL data engineering with significant expertise in using Python (PySpark) to perform data extraction, transformation, and loading from REST APIs, SQL database tables, and CSV files.
  • Proficiency in using Azure Synapse Analytics resources including Notebooks, Pipelines, Linked Services, and Azure Key Vault.
  • Demonstrated ability to write complex SQL queries, optimize query performance, and work with both SparkSQL and MS SQL to effectively extract, transform, and load data.
  • Knowledge of data integration best practices and tools.
  • Experience with version control systems, such as Git (Azure DevOps).
  • Strong problem-solving and analytical skills, with a keen attention to detail.
  • Excellent communication skills, both verbal and written, with the ability to work collaboratively in a team environment with shifting priorities.
  • Familiarity with big data technologies, machine learning, and data analysis preferred.
  • Experience with data visualization tools (e.g. Power BI, Tableau) and Agile Methodologies a plus.
Being a consultant in our team is a fun, challenging, and rewarding career choice. Your contributions are highly valued by clients, and the work you do often has a direct and significant impact on their business.
You will have the opportunity to work on a variety of projects for our incredible clients, which will accelerate your career growth. You'll collaborate with modern technologies and work alongside some of the best professionals in the industry!
If you're eager to be part of an exciting, challenging, and rapidly growing consultancy, we encourage you to apply. #LI-Remote
apply for this job