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Director Data Analyst Machine Learning Jobs (NOW HIRING)

Director, Data Science & Insights

Irvine, CA · On-site

$150K - $200K/yr

DIRECTOR, DATA SCIENCE & INSIGHTS REPORTS TO: CHIEF DIGITAL OFFICER STATUS: EXEMPT Summary Boot ... and scale advanced analytics, machine learning, and generative AI capabilities that drive ...

... machine learning development. Role Overview The Data Analyst supports the maintenance of data ... with government-directed standards; surface findings in visualizations the team can act on ...

... Machine Learning (ML) model development. A Day in the Life * Analyze Maven data holdings to assess diversity, coverage, and compliance with government-directed standards; surface findings in ...

Stefanini is looking for a Machine Learning Engineer(Dearborn, MI) For quick apply, please reach ... Data Mining, Data/Analytics dashboards, ALGORITHMS, Data/Analytics, Data Analysis, Data Science ...

Director, Data Scientist Data is at the center of everything we do. As a startup, we disrupted the ... analysis * At least 4 years of experience working with machine learning * At least 4 years of ...

Director, Data Scientist Data is at the center of everything we do. As a startup, we disrupted the ... analysis * At least 4 years of experience working with machine learning * At least 4 years of ...

Director, Data Scientist Data is at the center of everything we do. As a startup, we disrupted the ... analysis * At least 4 years of experience working with machine learning * At least 4 years of ...

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Director Data Analyst Machine Learning information

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$34K

$82.6K

$136K

How much do director data analyst machine learning jobs pay per year?

As of Jul 11, 2026, the average yearly pay for director data analyst machine learning in the United States is $82,640.00, according to ZipRecruiter salary data. Most workers in this role earn between $62,500.00 and $97,000.00 per year, depending on experience, location, and employer.

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.

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Full-time

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Re-posted 28 days ago


Job description

Job Description: Machine Learning Eng./Data LeadLocation: Orlando, FL, 32801Job Summary:

We are seeking a highly skilled Machine Learning Engineer/Data Lead to join our team. The ideal candidate will have experience in developing and implementing machine learning models and algorithms, as well as experience in data management and analysis. The Machine Learning Engineer/Data Lead will be responsible for leading the development and implementation of machine learning solutions, as well as managing and analyzing large datasets.

Responsibilities:
  • Develop and implement machine learning models and algorithms
  • Manage and analyze large datasets
  • Lead the development and implementation of machine learning solutions
  • Collaborate with cross-functional teams to identify and solve complex business problems
  • Stay up-to-date with the latest developments in machine learning and data analysis
Requirements:
  • Bachelor's or Master's degree in Computer Science, Mathematics, Statistics, or related field
  • 5+ years of experience in machine learning and data analysis
  • Strong programming skills in Python, R, or other relevant languages
  • Experience with machine learning frameworks such as TensorFlow, Keras, or PyTorch
  • Experience with data management and analysis tools such as SQL, Hadoop, or Spark
  • Excellent problem-solving and analytical skills
  • Strong communication and collaboration skills
Benefits:
  • Health, dental, and vision insurance
  • 401k
  • Flexible work environment - you manage your workday.