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Home Based Python Machine Learning Jobs in Columbus, OH

Huntington

Senior Data Scientist - AI

Columbus, OH · On-site +1

Influences product teams through presentation of data-based recommendations. * Evangelizes best ... with R/RStudio, Python, SAS, SQL, NoSQL * Strong experience with Cloud Machine Learning ...

TekLeaders, Inc

Data Scientist

Columbus, OH · On-site

Influences product teams through presentation of data-based recommendations. * Performs other ... Python, SAS, SQL, NoSQL Preferred Qualifications: * Up-to-date knowledge of machine learning and ...

Chase

Applied AI ML Lead - ML Ops, CTC

Columbus, OH

Deploy machine learning models into production, ensuring they are scalable, reliable, and efficient ... Advanced Python programming skills. * Strong problem-solving skills and attention to detail.

Huntington

Senior Data Scientist

Columbus, OH

$70K - $140K/yr

... with R/RStudio, Python, SAS, SQL, NoSQL * Strong experience with Cloud Machine Learning ... Actual compensation will vary based on various factors including but not limited to location ...

Huntington

Senior Data Scientist

Columbus, OH · On-site

$70K - $140K/yr

... with R/RStudio, Python, SAS, SQL, NoSQL * Strong experience with Cloud Machine Learning ... Actual compensation will vary based on various factors including but not limited to location ...

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How much do home based python machine learning jobs pay per hour?

As of Jun 18, 2026, the average hourly pay for home based python machine learning in Columbus, OH is $56.62, according to ZipRecruiter salary data. Most workers in this role earn between $46.68 and $64.33 per hour, depending on experience, location, and employer.

What is the difference between Home Based Python Machine Learning vs Data Analyst?

AspectHome Based Python Machine LearningData Analyst
Required CredentialsPython programming, machine learning certifications, data analysis skillsData analysis certifications, SQL, Excel, Python or R knowledge
Work EnvironmentRemote, home-based, often project-focusedRemote or on-site, business or client-focused
Industry UsageTech, finance, healthcare, e-commerceBusiness, marketing, finance, healthcare
Common Search/ComparisonYesYes

Home Based Python Machine Learning and Data Analyst roles share overlapping skills like data handling and analysis tools. However, Python Machine Learning focuses more on developing algorithms and models using Python, while Data Analysts primarily interpret data to generate reports and insights. Both roles are in demand for remote work and require analytical skills, but Python Machine Learning positions often demand more advanced programming and machine learning expertise.

What are popular job titles related to Home Based Python Machine Learning jobs in Columbus, OH? For Home Based Python Machine Learning jobs in Columbus, OH, the most frequently searched job titles are:
What job categories do people searching Home Based Python Machine Learning jobs in Columbus, OH look for? The top searched job categories for Home Based Python Machine Learning jobs in Columbus, OH are:
Home Based Python Machine Learning jobs near you

Senior Data Scientist - AI

Huntington

Columbus, OH • On-site, Remote

Full-time

Posted 7 days ago

Job description

Description

Summary:

The Senior Data Scientist- AI, contributes to building and developing the organization’s data infrastructure and supports the senior leadership with insights, management reports, and analysis for decision-making processes.

Duties and Responsibilities:

  • Performs advanced analytics methods to extract value from business data.
  • Performs large-scale experimentation and build data-driven models to answer business questions.
  • Conducts research on cutting-edge techniques and tools in machine learning/deep learning/artificial intelligence.
  • Determines requirements that will be used to train and evolve deep learning models and algorithms.
  • Articulates a vision and roadmap for the exploitation of data as a valued corporate asset.
  • Influences product teams through presentation of data-based recommendations.
  • Evangelizes best practices to analytics and products teams.
  • Owns the entire model development process, from identifying the business requirements, data sourcing, model fitting, presenting results, and production scoring.
  • Performs other duties as assigned.

Basic Qualifications:

  • Master’s Degree in computer science, statistics, economics or related fields
  • 3+ years of work and/or educational experience in machine learning or cloud computing, experience using statistics and machine learning to solve complex business problems, experience conducting statistical analysis with advanced statistical software, experience scripting languages, and packages, experience building and deploying predictive models, experience web scraping, and scalable data pipelines and experience with big data analysis tools and techniques.

Preferred Qualifications:

  • Up-to-date knowledge of machine learning and data analytics tools and techniques
  • Strong knowledge in predictive modeling methodology
  • Experienced at leveraging both structured and unstructured data sources
  • Willingness and ability to learn new technologies on the job
  • Demonstrated ability to communicate complex results to technical and non-technical audiences
  • Demonstrated ability to work effectively in teams as well as independently across multiple tasks while meeting aggressive timelines
  • Strategic, intellectually curious thinker with focus on outcomes
  • Professional image with the ability to form relationships across functions
  • Strong experience with R/RStudio, Python, SAS, SQL, NoSQL
  • Strong experience with Cloud Machine Learning technologies (e.g., AWS Sagemaker)
  • Strong experience with machine learning environments (e.g., TensorFlow, scikit-learn, caret)
  • Strong understanding of statistical methods and skills such as Bayesian Networks Inference, linear and non-linear regression, hierarchical, mixed models/multi-level modeling
  • Financial Services background


Exempt Status: (Yes = not eligible for overtime pay) (No = eligible for overtime pay)

Yes

Workplace Type:

Office

Our Approach to Office Workplace Type

Certain positions outside our branch network may be eligible for a flexible work arrangement. We’re combining the best of both worlds:  in-office and work from home. Our approach enables our teams to deepen connections, maintain a strong community, and do their best work. Remote roles will also have the opportunity to come together in our offices for moments that matter. Specific work arrangements will be provided by the hiring team.

Huntington is an Equal Opportunity Employer.

Tobacco-Free Hiring Practice: Visit Huntington's Career Web Site for more details.

Note to Agency Recruiters:  Huntington Bank will not pay a fee for any placement resulting from the receipt of an unsolicited resume.  All unsolicited resumes sent to any Huntington Bank colleagues, directly or indirectly, will be considered Huntington Bank property. Recruiting agencies must have a valid, written and fully executed Master Service Agreement and Statement of Work for consideration.

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