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Data Scientist
<p><strong>About the Role</strong></p><p>We’re seeking a Data Scientist to help build predictive models, develop advanced analytics solutions, and uncover insights that drive strategic decision‑making. This role partners closely with data engineering, analytics, business leaders, and product stakeholders to solve complex problems using statistical modeling, machine learning, and exploratory analysis.</p><p><strong>Key Responsibilities</strong></p><ul><li>Build, train, and validate predictive and statistical models using Python, R, or similar tools.</li><li>Conduct data exploration, feature engineering, and hypothesis testing across large, complex datasets.</li><li>Develop machine learning pipelines and deploy models into production environments.</li><li>Partner with cross‑functional teams to translate business needs into analytical solutions.</li><li>Build dashboards, presentations, and visualizations to communicate insights clearly.</li><li>Evaluate model performance and monitor metrics to ensure operational accuracy and stability.</li><li>Work with data engineers on data quality, pipeline optimization, and scalable architectures.</li><li>Document methodologies, assumptions, and model outputs for technical and non‑technical audiences.</li></ul><p></p>
<p><strong>Required Qualifications</strong></p><ul><li>3–7+ years of experience in Data Science, Machine Learning, Predictive Analytics, or Applied Statistics.</li><li>Strong proficiency in Python (Pandas, NumPy, Scikit‑Learn) or R.</li><li>Experience with SQL and working in cloud data environments (Azure, AWS, or GCP).</li><li>Hands‑on experience building predictive models, classification, regression, clustering, or NLP models.</li><li>Knowledge of statistics, experiment design, and data validation best practices.</li><li>Ability to explain complex analytical findings to business partners in clear, digestible formats.</li></ul><p><br></p>
<h3 class="rh-display-3--rich-text">Technology Doesn't Change the World, People Do.<sup>®</sup></h3> <p>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.</p> <p>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. <a href="https://www.roberthalf.com/us/en/mobile-app" target="_blank">Download the Robert Half app</a> and get 1-tap apply, notifications of AI-matched jobs, and much more.</p> <p>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 <a href="https://roberthalf.gobenefits.net/" target="_blank">roberthalf.gobenefits.net</a> for more information.</p> <p>© 2025 Robert Half. An Equal Opportunity Employer. M/F/Disability/Veterans. By clicking “Apply Now,” you’re agreeing to Robert Half’s <a href="https://www.roberthalf.com/us/en/terms">Terms of Use</a> and <a href="https://www.roberthalf.com/us/en/privacy">Privacy Notice</a>.</p>
  • Saint Louis, MO
  • onsite
  • Temporary
  • 50 - 70 USD / Hourly
  • <p><strong>About the Role</strong></p><p>We’re seeking a Data Scientist to help build predictive models, develop advanced analytics solutions, and uncover insights that drive strategic decision‑making. This role partners closely with data engineering, analytics, business leaders, and product stakeholders to solve complex problems using statistical modeling, machine learning, and exploratory analysis.</p><p><strong>Key Responsibilities</strong></p><ul><li>Build, train, and validate predictive and statistical models using Python, R, or similar tools.</li><li>Conduct data exploration, feature engineering, and hypothesis testing across large, complex datasets.</li><li>Develop machine learning pipelines and deploy models into production environments.</li><li>Partner with cross‑functional teams to translate business needs into analytical solutions.</li><li>Build dashboards, presentations, and visualizations to communicate insights clearly.</li><li>Evaluate model performance and monitor metrics to ensure operational accuracy and stability.</li><li>Work with data engineers on data quality, pipeline optimization, and scalable architectures.</li><li>Document methodologies, assumptions, and model outputs for technical and non‑technical audiences.</li></ul><p></p>
  • 2026-03-20T00:00:00Z

Data Scientist Job in Saint Louis, MO | Robert Half