Data Scientist

Data Scientist at Insight Global Data Scientist at Insight Global in Columbus, Ohio Posted in 1 day ago.

Type:

full-time

Job Description:

This position will be a 3-month contract-to-hire . The hourly range is between $45 - $55 per hour , and the FTE conversion salary is between $95k - $105k . Exact compensation may vary based on factors such as skills, education, and experience.

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. Conducts 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, Bachelor's degree with a minimum of 3 years' work experience in analytics or data science Experience with

R, RStudio, Python, SAS, SQL, NoSQL Preferred Qualifications:

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 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) Financial Services background

About Candidate:

A curious mind with a thirst for discovery, answers, optimization, and continuous improvement Excellent written and verbal communication skills with a proven ability to interact effectively across all organizational levels Creative thinker and problem solver, with a strong ability to manage ambiguity/complexity Work effectively in teams as well as independently across multiple tasks while meeting aggressive timelines Experience working in a consumer-centric company and with teams of technical professionals in a cross-functional environment Experience in banking or financial services is a plus