Senior Advanced Data Scientist

RESPONSIBILITIES:
Kforce has a client seeking a hybrid Senior Advanced Data Scientist to join their team.
As a Senior Advanced Data Scientist, you will be a key member of the clients global, high-performing AI/ML team, driving the design, development, and deployment of cutting-edge data-driven solutions across all business groups and functions. This role demands technical depth, strategic vision, and leadership in shaping the future of AI/ML capabilities.

Key Responsibilities:
* Lead the development and deployment of advanced AI/ML models and solutions that deliver measurable business growth and operational excellence across diverse domains
* Define and govern enterprise analytics strategy, influencing the roadmap for AI/ML capabilities within the platform and promoting best practices across global teams
* Architect end-to-end data science solutions, including data acquisition strategies, hypothesis-driven experimentation, and scalable model deployment
* Collaborate with senior stakeholders and cross-functional teams to integrate AI/ML solutions into mission-critical platforms
* Champion innovation in AI/ML, leveraging emerging technologies such as LLMs, NLP, and reinforcement learning to solve complex business challenges
* Mentor and guide junior data scientists and engineers, fostering a culture of technical excellence and continuous learning

REQUIREMENTS:
* Bachelor's degree in Computer Science, Engineering, Applied Mathematics, or related STEM field
* 5+ years of hands-on experience in Data Science and Machine Learning, including prototyping and deploying models in commercial environments
* Proven expertise in machine learning algorithms (supervised, unsupervised, reinforcement learning) and deep learning frameworks (PyTorch, TensorFlow, Keras)
* Strong experience with distributed computing and storage systems (e.g., Spark) and cloud platforms (AWS, Azure, Google Cloud Platform)
* Demonstrated ability to design and deploy production-grade ML pipelines using containerized microservices and orchestration tools
* Solid understanding of MLOps best practices for scalable and reliable model deployment

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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