Data Scientist

Role : Data Scientist

Location: Columbus, OH

Duration: 8+ Months

MOI : Telephonic & WebCam

Primary Skills: SQL, Python, SAS, NOSQL, R, RStudio.

Need Candidates with a Minimum of 8 Years of Experience. This is a 100% Onsite role and needs to be on W2.

Duties and Responsibilities:

• Ability to use advanced analytics methods to extract value from business data.
• Ability to perform large-scale experimentation and build data-driven models to answer business questions.
• Conduct research on cutting-edge techniques and tools in machine learning/deep learning/artificial intelligence.
• Determines requirements that will be used to train and evolve deep learning models and algorithms.
• Influences product teams through presentation of data-based recommendations.
• Performs other duties as assigned.

Basic Qualifications:

• Master's degree completed by Spring 2025 in Computer Science or Information Systems, Decision Sciences, Statistics, Operations Research, Applied Mathematics, Engineering, or a STEM degree, or, in lieu of a Master's degree, a Bachelor's degree with a minimum of 3 years work experience in analytics or data science
• Experience with R, RStudio, Python, SAS, SQL, NoSQL
• Up-to-date knowledge of machine learning and data analytics tools and techniques
• Knowledge in predictive modeling methodology
• Experienced at 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 Network inference, linear and non-linear regression, hierarchical and 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)
• Financial Services background.