Jobs in Dublin, OH

About the role

As a Senior Data Scientist you will work with stakeholders throughout the organization to identify opportunities for leveraging company data to drive business solutions

What you'll bring

• Master’s Degree in a quantitative field (Mathematics, Computer Science, or Statistics or related quantitative fields) and 5+ years professional experience in a data science role  or  PhD in a quantitative field and 2+ years professional experience in a data science, machine learning, or related analytical role
• Deep understanding of machine learning algorithms, statistical modeling techniques, and their practical applications, along with extensive experience using ML frameworks and libraries such as scikit‑learn, TensorFlow, or similar tools.
• Strong SQL skills and experience working with large-scale data warehousing platforms, particularly Snowflake
• Expert proficiency in a scripting language such as Python, including Python data libraries (numpy, pandas, matplotlib, scikit-learn) and strong programming skills in Java or similar languages
• Intermediate proficiency in a low-level or performant language
• Expert proficiency in working within a cloud computing environment using software development best practices
• Hands-on experience with cloud platforms (AWS and/or Azure) including services for data storage, processing, and model deployment
• Proven track record of deploying machine learning models to production environments and measuring their business impact
• Experience automating production-quality statistical or machine learning models at scale with expert understanding of their underlying mathematical and statistical theory
• Experience with version control (Git), containerization (Docker), and CI/CD practices
• Experience and expertise solving complex and highly impactful quantitative business problems
• Self-starting attitude

Benefits