
location_on1828, Northridge Road, North Linden, Columbus, Sharon, Franklin County, Ohio, 43224, United States
We are seeking a Data Scientist to join our team in Columbus, OH, for a long-term engagement. This role is designed for individuals who are passionate about extracting value from business data through advanced analytics and large-scale experimentation. You will serve as a bridge between complex data and actionable business strategy, building data-driven models that answer critical questions and influence product direction.
In this position, you will conduct research on cutting-edge techniques in machine learning, deep learning, and artificial intelligence. Your work will involve determining the specific requirements needed to train and evolve deep learning models and algorithms. Beyond technical execution, you will actively influence product teams by presenting data-based recommendations, ensuring that insights translate into tangible business outcomes.
This opportunity is based in Columbus, OH, and is strictly limited to local candidates. We are looking for a long-term commitment to drive continuous improvement and innovation within our data infrastructure.
Work model: On-site
1828, Northridge Road, North Linden, Columbus, Sharon, Franklin County, Ohio, 43224, United States
Columbus, Ohio
Up-to-date knowledge of machine learning and data analytics tools and techniques. Knowledge in predictive modeling methodology. Experience leveraging both structured and unstructured data sources. Willingness and ability to learn new technologies on the job. Work and/or educational experience conducting statistical analysis with advanced statistical software, scripting languages, and packages. Work and/or educational experience with big data analysis tools and techniques. Foundational knowledge of building and deploying predictive models, web scraping, and scalable data pipelines. Understanding of statistical methods and skills such as Bayesian Networks Inference, linear and non-linear regression, hierarchical, mixed models/multi-level modeling. Experience with Cloud Machine Learning technologies (e.g., AWS Sagemaker). Experience with machine learning environments (e.g., TensorFlow, scikit-learn, caret).
Skills: Machine Learning, Deep Learning, Artificial Intelligence, R, Rstudio, Python, Sas, SQL, Nosql, Data Analytics.
Education: Master's degree in specified fields required by Spring 2025, or Bachelor's with 3 years experience; Bachelor's degree accepted in lieu of Master's with 3 years analytics experience.