Senior Data Scientist

RESPONSIBILITIES:
Kforce has a client that is seeking a Senior Data Scientist in Tampa, FL.

Essential Duties and Responsibilities:
Data Science and Exploration:
* Translates business needs into advanced analytics requirements to support the organization and its members
* Proactively mines data warehouses to identify trends and patterns and generates insights to enhance the experience of our members
* Performs large-scale experimentation to identify hidden relationships between variables in large datasets
* Research and implement cutting-edge techniques and tools in machine learning/deep learning/artificial intelligence to make data analysis more efficient
* Determines requirements that will be used to train and evolve deep learning models and algorithms
* Develops frameworks and processes to analyze unstructured information to enrich the decision-making capabilities of our members
* Maintains up-to-date knowledge of machine learning and data analytics tools and techniques

Machine Learning Operations:
* Ensures that AI models are maintained throughout the lifecycle, ensuring proper monitoring and observability across environments
* Partners with stakeholders to properly implement ModelOps, ensuring consistency and integrity in solutions
* Establish and implement explainability frameworks, like Model Context Protocols and SHAP
* Monitor and optimize models for accuracy, performance, and cost efficiency
* Works with data governance led to establish and enforce data governance standards, guidelines, processes, and best practices to ensure data quality and integrity
* Implement data protocols to ensure compliance with regulatory requirements and company policies

REQUIREMENTS:
* Bachelor's or Master's degree in Computer Science, Information Systems, Data Science, or a related field
* Minimum of 8 years of experience in data science, machine learning, data management, data governance, or a related role
* Experience using statistics and machine learning to solve complex business problems
* Experience conducting statistical analysis with advanced statistical software, scripting languages, and packages
* Experience building and deploying predictive models, web scraping, and scalable data pipelines
* Experience with AI tools, such as MS Azure ML, Snowflake CortexAI, Dataiku
* Working knowledge of cloud services (i.e., MS Azure, AWS, Google Cloud)
* Strong knowledge of data governance, data security, and compliance practices
* Proficiency in programming languages such as Python, R, or SQL
* Familiarity with data visualization and reporting tools (e.g., Webfocus, Power BI)
* Excellent analytical and problem-solving abilities
* Strong communication and interpersonal skills to collaborate with cross-functional teams
* Ability to lead projects and mentor junior staff
* Auto Insurance claims industry experience preferred

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.

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