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Director Data Analyst Machine Learning Jobs in Ohio

Experience with machine learning and AI tools. * Familiarity with Python, R, SQL, Tableau/PowerBI knowledge of statistical analysis techniques. * Knowledge of data warehousing concepts and ETL ...

In this role, you will work alongside experienced engineers and data scientists to build, deploy ... Clean, preprocess, and analyze datasets for model training * Collaborate with team members to solve ...

In this role, you will work alongside experienced engineers and data scientists to build, deploy ... Clean, preprocess, and analyze datasets for model training * Collaborate with team members to solve ...

In this role, you will work alongside experienced engineers and data scientists to build, deploy ... Clean, preprocess, and analyze datasets for model training * Collaborate with team members to solve ...

$70 - $90/hr

| Startseite > Aktuelle Stellenangebote > Senior Data Scientist (m/w/d) Machine Learning 30.06 ... Ermöglichung von Analytics und KI Anwendungen durch eine leistungsfähige, smarte ...

Leverage enterprise data assets to identify, prioritize, and drive AI and machine learning ... integrations, analytics, big data, data warehouses, cloud environments, and strategic data ...

$75 - $95/hr

... Unternehmen. Als Machine Learning Engineer (m/w/d) bei Synnio entwickelst und betreibst du ... Analytics und Prozessautomatisierung antreiben. Du arbeitest eng mit Produkt-, Daten- und ...

Leverage enterprise data assets to identify, prioritize, and drive AI and machine learning ... Excellent troubleshooting, root cause analysis and resolution skills * Excels in a fast-paced ...

Leverage enterprise data assets to identify, prioritize, and drive AI and machine learning ... Excellent troubleshooting, root cause analysis and resolution skills * Excels in a fast-paced ...

Du analysierst, strukturierst und visualisierst Daten, um wertvolle Erkenntnisse zu gewinnen und die Grundlage für intelligente Modelle zu schaffen.* Du implementierst und testest Machine-Learning ...

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Director Data Analyst Machine Learning information

What is the difference between Director Data Analyst Machine Learning vs Data Scientist?

AspectDirector Data Analyst Machine LearningData Scientist
Required CredentialsBachelor's or Master's in Data Science, Computer Science, or related fields; experience in machine learningBachelor's or Master's in Data Science, Statistics, Computer Science; strong programming skills
Work EnvironmentLeads teams, manages projects, strategic planningHands-on data analysis, model development, experimentation
Employer & Industry UsageTech companies, finance, healthcare, retailResearch institutions, tech firms, consulting

The main difference is that the Director Data Analyst Machine Learning oversees teams and strategic initiatives, while Data Scientists focus on developing models and analyzing data directly. The director role emphasizes leadership and project management, whereas data scientists are more hands-on with technical tasks.

What are the most commonly searched types of Data Analyst Machine Learning jobs in Ohio?

The most popular types of Data Analyst Machine Learning jobs in Ohio are:

What are popular job titles related to Director Data Analyst Machine Learning jobs in Ohio?

For Director Data Analyst Machine Learning jobs in Ohio, the most frequently searched job titles are:

What job categories do people searching Director Data Analyst Machine Learning jobs in Ohio look for?

The top searched job categories for Director Data Analyst Machine Learning jobs in Ohio are:

What cities in Ohio are hiring for Director Data Analyst Machine Learning jobs?

Cities in Ohio with the most Director Data Analyst Machine Learning job openings:

Infographic showing various Director Data Analyst Machine Learning job openings in Ohio as of July 2026, with employment types broken down into 1% Internship, 82% Full Time, 7% Part Time, 1% Temporary, 7% Contract, and 2% Nights. Highlights an 82% Physical, 5% Hybrid, and 13% Remote job distribution.

Machine Learning Engineer

Beavercreek, OH • On-site

Full-time

Medical, Dental, Vision, Life, Retirement

Re-posted 16 days ago


Job description

Radiance is seeking a Machine Learning Engineer who will advance the artificial intelligence capabilities of the National Air and Space Intelligence Center at Wright Patterson Air Force Base. This engineer will provide expertise in data analytics and algorithm development supporting the integration and analysis of diverse data sources and develop machine learning, data mining and statistical algorithms for pattern recognition and anomaly detection. Additionally, this position will improve upon current methods for the automated processing and exploitation of large data sets. This will include R&D on projects involving the exploitation of data from sensors including investigation of state-of-the-art machine learning classification methods to detect, track, and characterize targets of interest.
Radiance Technologies is an employee-owned company with benefits that are unmatched by most companies in the Dayton OH area. Employee ownership, generous 401K, full health/dental/life/vision insurance benefits, interesting assignments, educational reimbursement, competitive salaries and a pleasant work environment combine to make Radiance Technologies a great place to work and succeed.
Required Experience:
  • A working knowledge of Artificial Neural Networks (ANNs), Convolutional Neural Networks (CNNs) and Recurrent Neural Networks (RNNs)
  • Experience in applying core Machine Learning methodologies: Regression, Classification, Clustering, Decision Trees, Dimensional Reduction, Neural Networks & Deep Learning, Feature Engineering

Required Skills & Qualifications:
  • Bachelor's Degree in a quantitative field such as Physics, Engineering, Computer Science, Statistics, or a related field
  • Strong programming skills in at least one of the following languages Python, Matlab, C++
  • Experience with Machine Learning APIs, such as TensorFlow, PyTorch, or Keras
  • Active Secret Clearance with ability to obtain and maintain a TS/SCI

Desired Skills:
  • ML for either natural language processing, computer vision, reinforcement learning, generative modeling, or equivalent experience
  • PhD in data science, mathematics, statistics, computer science, a physical science or engineering is strongly desired
  • A mathematical background (Probability and Statistics)
  • An experienced grasp of version control using Git for nonlinear workflows
  • Thorough understanding of working in research, development and production environments
  • Background in image science, imagery exploitation, spatial analysis, and computer vision are a plus
  • R&D on remotely sensed data to include modeling and development of algorithms.
  • Ability to work independently or in a team environment
  • Strong technical writing and oral communication skills
  • Active Top Secret/SCI clearance

Radiance Technologies is an Equal Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, or protected veteran status.