Data Scientist

Fuse3 Solutions

Oklahoma City (OK)

On-site

USD 110,000 - 170,000

Full time

5 days ago
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Job summary

Fuse3 Solutions in Oklahoma City seeks a Lead Data Scientist / AI Engineer to turn massive datasets into actionable insights and intelligent product solutions.

You will own end-to-end modeling, build scalable analytics pipelines, and communicate complex findings to executives, with hands-on coding in Python/R/Julia and leadership across teams.

Qualifications

  • Proficiency in Python, R, or Julia for modeling.
  • Strong SQL querying and data manipulation.
  • Extensive ML/AI experience with TensorFlow and scikit-learn.
  • Experience with big data tools like Spark or Hadoop.
  • Experience with LLMs is required.
  • Expertise in mathematical optimization and feature engineering.
  • Ability to design and implement end-to-end analytics pipelines.
  • Ability to build and interpret dashboards.
  • Proven ability to communicate complex ideas to executives.
  • Strong leadership and collaboration skills.
  • Self-starting, autonomous and results-driven.

Responsibilities

  • Solve Big Problems: end-to-end analysis from requirements and data processing to models and executive presentations.
  • Build for Scale: robust pipelines, forecasting models, and AI/ML algorithms for user behavior.
  • Advocate for Quality: improve data architecture and metrics impacting business strategy.

Skills

Python/R/Julia
SQL
TensorFlow
scikit-learn
Spark/Hadoop
LLMs
Optimization
Feature engineering
Data visualization
Tableau/PowerBI/Plotly/D3.js
Communication
Autonomy

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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