Data Scientist: III

Robert Half • Columbus, OH • 5h ago

Description

Overview

We are seeking a highly analytical Data Scientist / Advanced Analytics Specialist to leverage advanced analytics, machine learning, and statistical modeling techniques to extract insights from complex business data. This role focuses on building data-driven models, conducting large-scale experimentation, and influencing business decisions through actionable insights.

The ideal candidate is intellectually curious, thrives in ambiguous problem spaces, and enjoys applying cutting-edge analytics techniques to real-world business challenges.

Key Responsibilities

Apply advanced analytics methods to extract value from structured and unstructured business data

Design and execute large-scale experiments and develop data-driven models to answer complex business questions

Conduct research on emerging techniques and tools in machine learning, deep learning, and artificial intelligence

Define requirements used to train, evaluate, and evolve predictive and deep learning models

Analyze results and present data-based recommendations to product, business, and technical teams

Influence decision-making through clear, compelling data storytelling and insights

Support ongoing analytics initiatives and perform additional duties as assigned

Requirements

Required Qualifications

Master's degree completed by Spring 2025 in:

Computer Science

Information Systems

Decision Sciences

Statistics

Operations Research

Applied Mathematics

Engineering

Or a related STEM discipline

Bachelor's degree with 3+ years of professional experience in analytics or data science

Hands-on experience with:

R / RStudio

Python

SAS

SQL / NoSQL

Strong analytical, quantitative, and problem-solving skills

Preferred Qualifications

Up-to-date knowledge of machine learning and advanced analytics tools and techniques

Experience with predictive modeling methodologies

Ability to work with both structured and unstructured data sources

Experience conducting statistical analysis using advanced software, scripting languages, and packages

Exposure to big data tools, scalable data pipelines, and web scraping techniques

Foundational experience building and deploying predictive models

Strong understanding of statistical methods including:

Bayesian networks and inference

Linear and non-linear regression

Hierarchical and mixed-effects models

Experience with cloud-based machine learning platforms (e.g., AWS SageMaker)

Familiarity with machine learning frameworks such as TensorFlow, scikit-learn, or caret

Background in financial services or banking is a plus

Technology Doesn't Change the World, People Do.®

Robert Half is the world's first and largest specialized talent solutions firm that connects highly qualified job seekers to opportunities at great companies. We offer contract, temporary and permanent placement solutions for finance and accounting, technology, marketing and creative, legal, and administrative and customer support roles.

Robert Half works to put you in the best position to succeed. We provide access to top jobs, competitive compensation and benefits, and free online training. Stay on top of every opportunity - whenever you choose - even on the go. Download the Robert Half app (https://www.roberthalf.com/us/en/mobile-app) and get 1-tap apply, notifications of AI-matched jobs, and much more.

All applicants applying for U.S. job openings must be legally authorized to work in the United States. Benefits are available to contract/temporary professionals, including medical, vision, dental, and life and disability insurance. Hired contract/temporary professionals are also eligible to enroll in our company 401(k) plan. Visit roberthalf.gobenefits.net for more information.

© 2025 Robert Half. An Equal Opportunity Employer. M/F/Disability/Veterans. By clicking "Apply Now," you're agreeing to Robert Half's Terms of Use (https://www.roberthalf.com/us/en/terms) and Privacy Notice (https://www.roberthalf.com/us/en/privacy) .

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