Data Scientist

RESPONSIBILITIES:
Kforce's client in Miami, FL is seeking a seasoned, experienced, and inquisitive Data Scientist that will collaborate with the centralized Data Science team on delivering high-value AI projects across diverse business areas (e.g., Revenue Management, Digital, E-Commerce & Marketing, Supply Chain, and Marine Operations). AI solutions will create measurable business impact and revenue growth by combining business domain knowledge with new, cutting-edge technologies in the field of Artificial Intelligence, Machine Learning, & Big Data.

Responsibilities:
* This individual will be responsible for scripting/programming, mentorship, stakeholder presentation, and collaboration with other team members to execute a research experiment within the framework of implementing, utilizing, and expanding R&D capabilities within the broader Data Science team
* Research and apply emerging forms of statistical, machine learning (neural networks/deep networks, ensemble methods, natural language processing, computer vision) and engineering methods to the company, data science, and AI ecosystem
* Must be comfortable doing so with little or no documentation or reliance on research articles and papers; Execute these objectives with respect to both purely exploratory endeavors as well as established products requiring novel ingenuity to meet known stakeholder objectives

REQUIREMENTS:
* Master's degree required in Statistics, Operations Research, Mathematics, Economics, Computer Science, Engineering, Physics, Chemical Engineering, or field of comparable foundations in mathematical and statistical analysis through the use of models, algorithms or programmed solutions
* A successful candidate will possess a strong background, either professionally or academically, in statistics, mathematics, artificial intelligence, research methods, experiment design, developing novel solutions beyond the use of well-established methods, and taking new technologies to a prototype state that can be expanded into a robust product; Must have a strong background in one or more of the following: Mathematical, Statistics, Probability, Deep Learning, Machine Learning, Natural Language Processing, Computer Vision, Recommendation Systems, Pattern Recognition, Large Scale Data Mining or Artificial Intelligence;
* 5 years of experience with any of the following programming languages: R, Python, Java, C , C#, Scala, SAS, MATLAB, or similar scripting languages. Similar experience and proficiency with SQL are required
* 5 years of experience across a breadth of data science, AI and machine learning disciplines including, but not limited to: forecasting, natural language processing (topic modeling, semantic search, text classification), deep learning and GPU-based algorithms (CNN, LSTM), computer vision
* 5 years designing experiments and researching novel solutions beyond established literature or documentation
* The candidate should demonstrate a progressive maturation of prior research projects, publications, patents, or similar capabilities in the field of applied research
* Demonstrates a strong capacity for learning and assimilating new techniques, tools, and methods
* Comfortable with preparing or collaborating on presentation decks as well as delivering final stakeholder presentations as primary or supporting presenter

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.