Data Science Analyst

Kforce is a solutions firm specializing in technology, finance and accounting, and professional staffing services. They are seeking a Data Science Analyst to assist in developing and maintaining advanced analytic tools using machine learning and predictive analysis techniques. Responsibilities: Collect, examine, and clean up large sets of data The Data Science Analyst will assist in developing linear predictive models, such as time series, generalized linear model (GLM), and generalized addictive model (GAM) Assist in developing machine learning models, such as gradient boosting machine (GBM), XGBoost, natural language processing (NLP), neural network, and random forest, with minimum guidance Assist in implementing and maintaining linear predictive and machine learning models Assist in data collection of special projects and perform additional duties as required, such as aerial images collection for geospatial analysis and research on generative AI application The Data Science Analyst will assist in visualization solutions for monitoring model results and managing portfolio performance Participates in special projects and performs additional duties as required Qualification: Bachelor's degree in Data Science, Computer Science, Mathematics, Engineering, or related subject required 2+ years of data science work related experience in data mining and machine learning required Understanding of predictive modeling algorithms and machine learning techniques Proficiency in manipulating big structured and unstructured data from various sources Proficiency in R, Python, SQL, VBA, Tableau, and Power BI Excellent verbal and written communication skills Excellent adaptability on new technologies and programming skills Ability to understand on business needs and thrives to provide timely solutions Forward thinking on artificial intelligence solutions and implementation Preferred: Master's degree or above in Data Science Experience with insurance background

Kforce is a solutions firm specializing in technology, finance and accounting, and professional staffing services.