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Data Handling Jobs Near Me

ComResource

Data Scientist

Columbus, OH

Understanding of data governance, privacy, and ethical considerations in data handling. Desired: * Master's degree or relevant professional certifications. * Familiarity with cloud services including ...

McKesson Corporation

Data Architect, Databricks

Columbus, OH · On-site

$61.50 - $79.25/hr

Provide architectural guidance on PHI/PII data handling and lifecycle management * Evaluate and recommend platform tooling (build vs. buy decisions) * Mentor engineers and architects; establish ...

McKesson

Data Architect, Databricks

Columbus, OH · On-site +1

$61.50 - $79.25/hr

Provide architectural guidance on PHI/PII data handling and lifecycle management * Evaluate and recommend platform tooling (build vs. buy decisions) * Mentor engineers and architects; establish ...

McKesson

Data Architect, Databricks

Columbus, OH · On-site +1

$61.50 - $79.25/hr

Provide architectural guidance on PHI/PII data handling and lifecycle management * Evaluate and recommend platform tooling (build vs. buy decisions) * Mentor engineers and architects; establish ...

Photon

Sr IOS/Android Developer with AI

Columbus, OH · On-site

Develop secure authentication and authorization flows, API integrations, session management, and data handling. * Collaborate with AI/ML engineers to consume models, agents, APIs, and orchestration ...

New

NetJets

Cybersecurity Engineer (GRC)

Columbus, OH · On-site

... handling of sensitive data across endpoints, email, SaaS, and cloud platforms. • Engineer and integrate security platforms and tooling using APIs, webhooks, SDKs, and cloud-native services ...

AndHealth

Data Engineer

Columbus, OH · On-site

$110K - $132K/yr

Design scalable frameworks for onboarding new healthcare partner data sources: file-based, API-based, streaming, with standardized validation, error handling, and schema evolution support. * Design ...

AndHealth

Data Engineer

Columbus, OH · On-site

$110K - $132K/yr

Design scalable frameworks for onboarding new healthcare partner data sources: file-based, API-based, streaming, with standardized validation, error handling, and schema evolution support. * Design ...

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How much do data handling jobs pay per year?

As of Aug 26, 2026, the average yearly pay for data handling in the United States is $165,018.00, according to ZipRecruiter salary data. Most workers in this role earn between $133,500.00 and $170,000.00 per year, depending on experience, location, and employer.

What cities are hiring for Data Handling jobs?

Cities with the most Data Handling job openings:

What states have the most Data Handling jobs?

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Data Handling jobs near you
A map of the United States highlighting the number of Data Handling job openings by state according to ZipRecruiter. The image is accompanied by a detailed chart listing the number of Data Handling job openings in each state, with California having the most at 2 and Hawaii the least at 0.

Data Scientist

ComResource

Columbus, OH

Full-time

Posted 19 days ago

Job description

ComResource is looking for a Data Scientist.

Responsibilities:

  • Develop and validate predictive and prescriptive models using advanced analytical techniques including machine learning, statistical modeling, optimization, and simulation.
  • Perform rigorous feature engineering, iterative model improvement, and implement A/B testing strategies.
  • Deploy models into production environments adhering to best practices in DevOps, including documentation, version control, and continuous integration.
  • Conduct regular monitoring and maintenance of models, addressing performance degradation and proactively updating based on new data or evolving business needs.
  • Collaborate with Data Engineers and MLOps professionals to ensure seamless integration and operational reliability of deployed models.
  • Actively engage with cross-functional team members including business analysts, data engineers, architects, product management, and subject matter experts to align analytics solutions to strategic goals.
  • Mentor junior team members, conduct code reviews, and contribute to team skill development.
  • Evaluate emerging technologies and analytical tools and recommend adoption when beneficial.

Essentials:

  • Bachelor's degree in Data Science, Computer Science, Statistics, Economics, Information Systems, or a related quantitative field.
  • 3–5 years of practical experience in advanced analytics, predictive modeling, and feature engineering.
  • Strong programming proficiency in Python and SQL, and familiarity with scripting languages such as Bash or PowerShell.
  • Experience deploying models using DevOps methodologies including CI/CD, containerization, and version control with Git.
  • Demonstrated experience with common data science methodologies including decision trees, neural networks, regression, time-series analysis, PCA, and ensemble modeling.
  • Effective communication skills with the ability to clearly present complex insights to technical and non-technical stakeholders.
  • Understanding of data governance, privacy, and ethical considerations in data handling.

Desired:

  • Master's degree or relevant professional certifications.
  • Familiarity with cloud services including Oracle Cloud Infrastructure (OCI) and experience in multi-cloud environments such as AWS, Azure, or GCP.
  • Experience with model-drift detection and automated monitoring solutions.

Req ID: RB41579983