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Scientific Machine Learning Jobs in Orlando, FL (NOW HIRING)

Develop and implement statistical models, predictive analytics solutions, and machine learning ... Master's degree in Data Science, Statistics, Computer Science, Econometrics, Data Analytics ...

Develop and implement statistical models, predictive analytics solutions, and machine learning ... Master's degree in Data Science, Statistics, Computer Science, Econometrics, Data Analytics ...

Develop and implement statistical models, predictive analytics solutions, and machine learning ... Master's degree in Data Science, Statistics, Computer Science, Econometrics, Data Analytics ...

Develop and implement statistical models, predictive analytics solutions, and machine learning ... Master's degree in Data Science, Statistics, Computer Science, Econometrics, Data Analytics ...

Develop and implement statistical models, predictive analytics solutions, and machine learning ... Master's degree in Data Science, Statistics, Computer Science, Econometrics, Data Analytics ...

Develop and implement statistical models, predictive analytics solutions, and machine learning ... Master's degree in Data Science, Statistics, Computer Science, Econometrics, Data Analytics ...

Develop and implement statistical models, predictive analytics solutions, and machine learning ... Master's degree in Data Science, Statistics, Computer Science, Econometrics, Data Analytics ...

Develop and implement statistical models, predictive analytics solutions, and machine learning ... Master's degree in Data Science, Statistics, Computer Science, Econometrics, Data Analytics ...

Develop and implement statistical models, predictive analytics solutions, and machine learning ... Master's degree in Data Science, Statistics, Computer Science, Econometrics, Data Analytics ...

Develop and implement statistical models, predictive analytics solutions, and machine learning ... Master's degree in Data Science, Statistics, Computer Science, Econometrics, Data Analytics ...

Develop and implement statistical models, predictive analytics solutions, and machine learning ... Master's degree in Data Science, Statistics, Computer Science, Econometrics, Data Analytics ...

Develop and implement statistical models, predictive analytics solutions, and machine learning ... Master's degree in Data Science, Statistics, Computer Science, Econometrics, Data Analytics ...

Develop and implement statistical models, predictive analytics solutions, and machine learning ... Master's degree in Data Science, Statistics, Computer Science, Econometrics, Data Analytics ...

Develop and implement statistical models, predictive analytics solutions, and machine learning ... Master's degree in Data Science, Statistics, Computer Science, Econometrics, Data Analytics ...

Develop and implement statistical models, predictive analytics solutions, and machine learning ... Master's degree in Data Science, Statistics, Computer Science, Econometrics, Data Analytics ...

Develop and implement statistical models, predictive analytics solutions, and machine learning ... Master's degree in Data Science, Statistics, Computer Science, Econometrics, Data Analytics ...

Develop and implement statistical models, predictive analytics solutions, and machine learning ... Master's degree in Data Science, Statistics, Computer Science, Econometrics, Data Analytics ...

Develop and implement statistical models, predictive analytics solutions, and machine learning ... Master's degree in Data Science, Statistics, Computer Science, Econometrics, Data Analytics ...

Develop and implement statistical models, predictive analytics solutions, and machine learning ... Master's degree in Data Science, Statistics, Computer Science, Econometrics, Data Analytics ...

Showing results 21-40

Scientific Machine Learning information

See Orlando, FL salary details

$13

$29

$48

How much do scientific machine learning jobs pay per hour?

As of Sep 7, 2026, the average hourly pay for scientific machine learning in Orlando, FL is $29.38, according to ZipRecruiter salary data. Most workers in this role earn between $17.93 and $37.45 per hour, depending on experience, location, and employer.

What is scientific machine learning?

Scientific machine learning (SciML) is an interdisciplinary field that combines principles from machine learning and scientific computing to solve complex scientific and engineering problems. It involves developing algorithms and models that can learn from data and physical laws, such as differential equations, to make predictions, optimize systems, or gain insights into phenomena. SciML is widely used in areas like physics, biology, climate science, and engineering, enabling researchers to accelerate simulations and make data-driven discoveries. The field often leverages both traditional numerical methods and modern machine learning techniques, making it a rapidly evolving area of research.

What are the key skills and qualifications needed to thrive as a scientific machine learning professional, and why are they important?

To thrive as a Scientific Machine Learning professional, you need a strong background in mathematics, statistics, programming (often Python), and domain-specific scientific knowledge, typically with a graduate degree in a STEM field. Proficiency in machine learning frameworks (such as TensorFlow or PyTorch), scientific computing tools (like NumPy, SciPy), and experience with high-performance computing are commonly required. Critical thinking, problem-solving, and collaborative communication are vital soft skills for designing experiments and interpreting complex data. These skills ensure robust, reproducible results and the ability to bridge scientific inquiry with advanced computational methods.

What are some common challenges faced by professionals in scientific machine learning, and how can they be addressed?

Professionals in Scientific Machine Learning often encounter challenges such as integrating domain-specific scientific knowledge with machine learning models, managing large and complex datasets, and ensuring that models are interpretable and physically consistent. Collaboration with domain experts and interdisciplinary teams is essential to bridge knowledge gaps and validate results. To address these challenges, it is helpful to invest time in understanding the underlying scientific principles, keep up-to-date with advancements in both machine learning and scientific fields, and utilize specialized tools and frameworks designed for scientific data.

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

AspectScientific Machine LearningData Scientist
Required credentialsAdvanced degrees in CS, ML, or related fields; knowledge of scientific computingDegree in CS, statistics, or related fields; strong analytical skills
Work environmentResearch labs, academia, industry R&D teamsBusiness analytics, tech companies, consulting firms
Industry usageResearch, scientific computing, engineering simulationsBusiness insights, predictive modeling, data analysis

Scientific Machine Learning focuses on integrating scientific knowledge with machine learning techniques for research and engineering applications. Data Scientists analyze data to extract insights and build predictive models for business or operational purposes. While both roles require strong technical skills, Scientific Machine Learning emphasizes scientific computing and domain-specific modeling, whereas Data Scientists focus on data analysis and visualization.

What are popular job titles related to Scientific Machine Learning jobs in Orlando, FL?

For Scientific Machine Learning jobs in Orlando, FL, the most frequently searched job titles are:

What cities near Orlando, FL are hiring for Scientific Machine Learning jobs?

Cities near Orlando, FL with the most Scientific Machine Learning job openings:

Infographic showing various Scientific Machine Learning job openings in Orlando, FL as of August 2026, with employment types broken down into 1% As Needed, 76% Full Time, 22% Part Time, and 1% Contract. Highlights an 89% Physical, 2% Hybrid, and 9% Remote job distribution, with an average salary of $61,120 per year, or $29.4 per hour.

Full-time

Posted 9 days ago


Job description

Key Responsibilities
  • Develop and implement statistical models, predictive analytics solutions, and machine learning models to address complex business problems.
  • Analyze large and complex datasets to identify trends, patterns, opportunities, and actionable insights.
  • Apply advanced statistical techniques, including regression analysis, decision trees, predictive modeling, and machine learning.
  • Translate data and quantitative analysis into actionable recommendations for Business Development, Marketing, and senior leadership.
  • Extract, transform, analyze, and visualize data using SQL, Python, Snowflake, and Power BI.
  • Develop dashboards, reports, and data visualizations to communicate analytical findings.
  • Partner with cross-functional stakeholders to define project objectives, deliverables, and analytical approaches.
  • Manage project deliverables and timelines, proactively communicate status, and escalate risks or issues as needed.
  • Ensure data quality, accuracy, and consistency throughout the analysis and modeling lifecycle.
  • Clearly communicate complex statistical models, analytical results, and business implications to both technical and non-technical audiences.
  • Stay current with emerging technologies, including Artificial Intelligence (AI), machine learning, and advanced analytics, and evaluate their relevance to business needs.
Required Qualifications
  • Master’s degree in Data Science, Statistics, Computer Science, Econometrics, Data Analytics, Predictive Analytics, or a related quantitative field.
  • 7+ years of experience in Data Science, Data Analytics, Statistics, Predictive Analytics, or a related quantitative field.
  • Proven experience working with large datasets in enterprise-level environments.
  • Strong expertise in statistical modeling and predictive analytics.
  • Strong programming experience with Python.
  • Strong SQL skills for data extraction, transformation, and analysis.
  • Experience developing and deploying Machine Learning models.
  • Experience with Power BI for data visualization and reporting.
  • Experience working with Snowflake or similar cloud data platforms.
  • Strong analytical, problem-solving, and strategic thinking skills.
  • Excellent written and verbal communication skills, with the ability to explain complex quantitative concepts to business and executive audiences.
  • Strong attention to detail with a focus on data quality, accuracy, and reliable results.
Preferred Qualifications
  • Experience in the healthcare industry.
  • Experience working with healthcare claims data.
  • Experience with R and other statistical programming tools.
  • Experience with enterprise-scale data platforms and analytics environments.
  • Knowledge of emerging AI and advanced machine learning technologies.
  • Proficiency with Microsoft Office, including Excel, Word, PowerPoint, and Access.