Data Science Analyst

Responsibilities

Kforce is working with a client in search of a Data Science Analyst to join their team! The purpose of this job is to assist in developing and maintaining advanced analytic tools by utilizing machine learning and predictive analysis techniques. This position is remote with travel to NY 2-4 times a year, but you must reside in one of the following states: AZ, CT, DE, FL, IL, IN, MA, MD, MI, MO, NC, NE, NH, NJ, NY, OH, PA, RI, TX, VA, WI. 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
  
  

Requirements

• Bachelor's degree in Data Science, Computer Science, Mathematics, Engineering, or related subject required; Master's degree or above in Data Science preferred
• 2 years of data science work related experience in data mining and machine learning required
• Experience with insurance background preferred
• 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
  
  

The pay range is the lowest to highest compensation we reasonably in good faith believe we would pay at posting for this role. We may ultimately pay more or less than this range. Employee pay is based on factors like relevant education, qualifications, certifications, experience, skills, seniority, location, performance, union contract and business needs. This range may be modified in the future.

We offer comprehensive benefits including medical/dental/vision insurance, HSA, FSA, 401(k), and life, disability & ADD insurance to eligible employees. Salaried personnel receive paid time off. Hourly employees are not eligible for paid time off unless required by law. Hourly employees on a Service Contract Act project are eligible for paid sick leave.

Note: Pay is not considered compensation until it is earned, vested and determinable. The amount and availability of any compensation remains in Kforce's sole discretion unless and until paid and may be modified in its discretion consistent with the law.

This job is not eligible for bonuses, incentives or commissions.

Kforce is an Equal Opportunity/Affirmative Action Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, pregnancy, sexual orientation, gender identity, national origin, age, protected veteran status, or disability status.

By clicking “Apply Today” you agree to receive calls, AI-generated calls, text messages or emails from Kforce and its affiliates, and service providers. Note that if you choose to communicate with Kforce via text messaging the frequency may vary, and message and data rates may apply. Carriers are not liable for delayed or undelivered messages. You will always have the right to cease communicating via text by using key words such as STOP.