> Markdown version of [/jobs/ext/3843522-principal-data-scientist-in-united](https://www.wearedevelopers.com/jobs/ext/3843522-principal-data-scientist-in-united). Every page supports `.md` or `Accept: text/markdown`. Links point to the HTML versions so they work for humans too. Agent guide: [/agents.md](https://www.wearedevelopers.com/agents.md). --- # Principal Data Scientist in United - **Company:** Energy Jobline - **Location:** Carbon, WV, United States - **Experience:** Expert - **Salary:** $176,800.0 - $197,600.0 - **Contract:** Temporary to permanent - **Skills:** Agile Methodology, Artificial Intelligence, Amazon Web Services, Data Analysis, Payment Systems, Graph Database, Python (Programming Language), Machine Learning, NoSQL, NumPy, Standard Sql, Tokenization, Google Cloud, Snowflake, Pandas, Scikit Learn, Information Technology, Machine Learning Operations, Databricks - **Published:** October 20, 2026 - **Apply:** https://www.energyjobline.com/job/principal-data-scientist-united-32010710 ## About the Role * Bachelor's or master's degree in Computer Science, Statistics, Mathematics, Engineering, or related field. PhD . \n * 7+ years in ML research or engineering with 5+ years building large-scale, real-time ML systems in production, including hands-on experience. \n * Expertise in machine learning, statistical modeling, and data analysis with strong experience across the ML lifecycle and experimentation. \n * Proficiency in Python (Pandas, NumPy, scikit-learn) and strong SQL experience. NoSQL or graph databases are a plus. \n * Demonstrated ability to lead solution design and execution, translating complex business requirements into actionable technology solutions. \n * Exceptional communication skills with the ability to influence and collaborate across technical and business audiences, including executives. \n * Bonus: Experience in payments, fintech, or financial services. Knowledge of payment systems such as authorization lifecycle, tokenization, fraud and risk, and real-time payments. Experience with cloud platforms including AWS, GCP, Snowflake, Databricks, or Vertex AI. Agile development experience. Background in large companies, mature ML teams, or regulated industries. \n