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Data Scietist

This role is for a Data Scientist in Orlando, FL, with a contract length of unspecified duration. Pay rate is competitive, requiring a Master's degree and 8 years of industry experience. Key skills include Python, machine learning, and predictive modeling.
🌎 - Country
United States
💱 - Currency
$ USD
💰 - Day rate
Unknown
Unknown
520
🗓️ - Date discovered
February 8, 2025
🕒 - Project duration
Unknown
🏝️ - Location type
On-site
📄 - Contract type
Unknown
🔒 - Security clearance
Unknown
📍 - Location detailed
Orlando, FL
🧠 - Skills detailed
#"ETL (Extract #Transform #Load)" #Data Analysis #Mathematics #Programming #Data Mining #Visualization #Hadoop #Java #Data Processing #Data Cleaning #Reinforcement Learning #Project Management #Data Science #Predictive Modeling #ML (Machine Learning) #C# #Classification #Python #Databases #C++ #AI (Artificial Intelligence) #Statistics
Role description
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Responsibilities

Kforce has a client that is seeking a Data Scientist in Orlando, FL. Responsibilities:
• Lead predictive modeling and programming, especially with unstructured data (Python, Hadoop, etc.); project examples to demonstrate ability
• Data Scientist will research literature related to specific project or proposals and provide actionable recommendations
• Lead/Senior Data Scientist is awarded to qualifying candidates who have demonstrated excellence in strategic planning, project management, customer relations, and team supervision and mentoring

Requirements
• Master's degree in Engineering, Data Science, Artificial Intelligence, Mathematics, Computational Neuroscience, Machine Learning, Statistics, or related field with strong experience data processing and modeling
• Minimum 8 years of direct industry experience
• Experience implementing programs, complex algorithms, and models in Python, C#, C++, or Java
• Experience deploying models on end user devices
• Proven past experience developing, designing, constructing, and maintaining data structures, models, physical databases, and algorithms rather than relying on out-of-the-box solutions
• Applied research experience with data mining (data preparation & analysis, data cleaning, knowledge extraction & interpretation) and coding
• Applied research experience using machine learning/artificial intelligence techniques to accomplish various types of detection/classification and prediction
• Understanding of underlying theories and experience developing solutions using multiple advanced modeling approaches, such as the following: machine learning, reinforcement learning, algorithm design, data analysis, image analysis, feature extraction, and pattern recognition
• Lead knowledge facilitation sessions with subject matter experts
• Communication skills - ability to succinctly translate technical findings to non-technical people; experience writing technical reports and grant proposals
• Visualization skills (ability to tell a story with data; Turn data into insight)
• Comfort in ambiguity
• Expressing ideas clearly and logically
• Effectiveness working as a team member and the ability to work independently and with minimal supervision
• Detail orientation and attention
• Ability to clearly communicate technical and theoretical concepts to non-technical customers

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.