About this opportunity
Fuse3 Solutions lists this Data Scientist opportunity in oklahoma city, Oklahoma. Review the employer’s description below for duties, qualifications and application requirements.
Job description
Join Our Team as a Lead Data Scientist / AI Engineer!
*No sponsorship or CDC candidates able to be considered*
Are you passionate about solving complex, real-world problems using cutting-edge machine learning, deep learning, and advanced analytics? We are looking for an exceptional data scientist to turn massive, complex datasets into game-changing insights and intelligent product solutions!
What You'll Do
Solve Big Problems: Drive end-to-end analysis—from gathering requirements and data processing to building advanced models and delivering executive-level presentations.
Build for Scale: Iteratively engineer robust analysis pipelines, forecasting models, and AI/ML algorithms (including deep learning and neural networks) for user behavioral modeling and optimization.
Advocate for Quality: Master our data architecture and metrics, driving system and product improvements that directly impact business strategy.
What You Bring to the Table
Core Technical Expertise: Mastery of Python, R, or Julia alongside database languages like SQL.
Machine Learning & AI: Deep experience with frameworks like TensorFlow, scikit-learn, and Big Data tools (Spark, Hadoop). Work with LLM's a must.
Optimization & Modeling: Strong background in mathematical optimization (discrete, nonlinear, or stochastic) and feature engineering.
Data Visualization: Proven track record building compelling dashboards in Tableau, PowerBI, Plotly, or D3.js.
Communication & Leadership: Exceptional ability to translate complex technical concepts for executive leadership and business stakeholders seamlessly.
Autonomous Drive: Thrives in a fast-paced environment with top-tier problem-solving, organization, and strategic thinking skills.
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Worksite address
oklahoma city, OK, 73116, US
Who can apply
Review the original listing for work authorization, qualifications and employer requirements.