Senior Data Scientist

RESPONSIBILITIES:
Join Kforce's client's cutting-edge Data Science and Machine Learning Capability Center (CC) within the Information, Data and Analytics (IDA) team in Houston, TX. This role is part of a high-impact innovation program in collaboration with NVIDIA, focusing on scalable HPC-AI applications, with a direct tie to business-critical scientific computing (e.g., seismic imaging).

Summary:
As a Senior Data Scientist, you'll drive the development, deployment, and lifecycle management of production-grade AI/ML solutions. You'll work on full-stack data science tools and multimodal LLMs, with the infrastructure to scale-from on-prem HPC compute to cloud burst capacity.

About the Project:
This position supports the innovation initiative under the GenAI R&D and HPC Program. The goal is to deepen the client's competitive edge in AI-driven scientific computing by developing scalable models and tools that accelerate R&D workflows and insights.

The role is funded through a multi-year investment in:
* On-premises and cloud-based HPC compute infrastructure
* High-performance storage and toolsets
* Dedicated AI/ML staffing to deliver next-generation digital solution

Key Responsibilities:
* Design, develop, and operationalize advanced AI/ML models, especially in deep learning, reinforcement learning, and multimodal LLMs
* Build full-stack data science applications deployed at scale across digital platforms
* Convert R&D prototypes into scalable, production-ready solutions
* Collaborate with research and engineering teams to deliver impactful GenAI tools and models
* Adhere to software quality, digital assurance, and MCDS quality initiative standards (health checks, code reviews, audits)
* Evaluate new data science opportunities and contribute to internal communities of excellence (CoEs, CoPs)

REQUIREMENTS:
* Ph.D. (preferred) or Master's degree in a STEM field
* Mastery in Machine Learning, Statistical Modeling, and Exploratory Data Analysis
* Deep expertise in Deep Learning and Reinforcement Learning
* Proficient in PyTorch or TensorFlow
* Strong core programming skills (e.g., Python)
* Knowledge of AI Engineering essentials, DevOps, and Agile methodologies
* Hands-on experience with cloud deployment frameworks and infrastructure/tooling (e.g., Azure, AWS, or Google Cloud Platform)

Bonus Skills (Nice-to-Have):
* Exposure to HPC Compute and Storage, Scientific Data Tools
* Expected to convert R&D prototypes into production-ready tools
* Must demonstrate strong ML/AI technical mastery and the ability to work cross-functionally with the company's scientific research and engineering teams
* Familiarity with Information Management, Data Governance, and Value Mapping
* Understanding of regulatory and compliance frameworks
* Experience collaborating with external research partners or vendors (e.g., NVIDIA)

What You'll Gain:
* Opportunity to work with cutting-edge AI research and global innovation leaders
* Exposure to real-world scientific and engineering challenges in energy exploration
* A collaborative, intellectually rich environment with support for continuous learning
* Ability to shape scalable digital products with industry impact

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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