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Stat Experts Jobs Near Me

ComResource

Data Scientist

Columbus, OH

... matter experts to align analytics solutions to strategic goals. * Mentor junior team members ... Essentials: * Bachelor's degree in Data Science, Computer Science, Statistics, Economics ...

Reli Group Inc

Power BI Intern

Columbus, OH · On-site

$15/hr

Behind every solution is a group of experts who care deeply about impact--whether we're supporting ... Current junior, senior, or recent graduate in Computer Science, Data Analytics, Statistics ...

Reli Group Inc

Power BI Intern

Columbus, OH

$15/hr

Behind every solution is a group of experts who care deeply about impact--whether we're supporting ... Current junior, senior, or recent graduate in Computer Science, Data Analytics, Statistics ...

Mimecast

Machine Learning Engineer II

Columbus, OH · On-site

$94K - $128K/yr

... ML experts and engineers across teams. * Collaborate with teammates throughout the product ... D. or Master's degree in a quantitative discipline (such as computer science, statistics, or ...

Mimecast

Machine Learning Engineer II

Columbus, OH

$94K - $128K/yr

... ML experts and engineers across teams. * Collaborate with teammates throughout the product ... D. or Master's degree in a quantitative discipline (such as computer science, statistics, or ...

Lids

9148 - Sales Help

Sunbury, OH · On-site

$14 - $16/hr

These cap experts are committed to fostering a passion for sporting and fashion goods by meeting ... Meet or exceed company goals in all individual statistics. * Engage in store maintenance according ...

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As of Aug 29, 2026, the average hourly pay for stat experts in the United States is $30.55, according to ZipRecruiter salary data. Most workers in this role earn between $14.66 and $39.90 per hour, depending on experience, location, and employer.

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Data Scientist

ComResource

Columbus, OH

Full-time

Posted 22 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