The Role
The ESP Data Scientist develops analytics solutions for ESP performance, coaches peers, ensures data quality, and promotes data-driven decision making through dashboards and predictive models.
Summary Generated by Built In
Title:
ESP Data ScientistESP Data ScientistEDAT35 - Principal Technical Professional - Data ScienceKBR Sustainable Technology Solutions (STS) provides holistic and value-added solutions across the entire asset life cycle. These include world-class licensed process technologies, differentiated advisory services, deep technical domain expertise, energy transition solutions, high-end design capabilities, and smart solutions to optimize planned and operating assets.We are looking for a Data Scientist who wants to build analytics solutions that influence real operational decisions.This role is first and foremost about data science excellence — statistical rigor, scalable analytics, automation, and measurable impact. Domain knowledge of ESP systems is helpful but not required. Strong data capability is.What You Will Do:Design & Deliver Advanced Analytics- Develop statistical models and machine learning solutions to detect patterns, predict failures, and optimize performance
- Apply regression, ensemble methods, boosting, and time-series techniques where appropriate
- Perform feature engineering and model validation using real-world, imperfect datasets
- Deploy models into production workflows via APIs or automated pipelines
- Write clean, efficient Python and SQL code for analytics and automation
- Design robust data pipelines and improve data architecture in collaboration with IT
- Automate repetitive analysis and reporting tasks
- Continuously improve performance, reliability, and maintainability of analytics solutions
- Develop advanced Power BI dashboards with strong data modelling and DAX logic
- Translate complex datasets into intuitive visual stories
- Ensure dashboards are accurate, automated, and aligned with stakeholder needs
- Implement validation checks and monitoring frameworks
- Improve data integrity across databases and reporting platforms
- Ensure analytics outputs meet governance and security standards
- 5–8 years in Data Science, Advanced Analytics, or Data Engineering
- Experience working with large, complex datasets in industrial, technical, or high-availability environments
- Experience in oil & gas or with ESP systems is a plus, not a requirement
- Bachelor’s or Master’s degree in Computer Science, Data Science, Engineering, Mathematics, Statistics, or related quantitative field
- Advanced certifications in Machine Learning or AI are an advantage
- Python (pandas, numpy, scikit-learn, etc.)
- SQL (advanced querying, optimization, data modeling)
- Power BI (data modeling, DAX, advanced visualization)
- Experience with relational databases (SQL Server, Oracle, etc.)
- Solid understanding of ML lifecycle: data prep → modeling → validation → deployment
- Experience integrating models into production environments
- Familiarity with cloud platforms is desirable
- Strong grounding in statistical modeling and hypothesis testing
- Experience with time-series analysis and anomaly detection
- Ability to work with noisy, incomplete, and operational datasets
- Strong problem framing and structured analytical thinking
- Clear communicator who can explain complex models in business terms
- Self-directed and execution-focused
- Comfortable challenging assumptions with data
- Able to prioritize high-impact analytics over “nice-to-have” experiments
- Continuous learner with strong ownership mindset
- Accuracy, robustness, and deployment of analytics models
- Measurable business impact from data-driven recommendations
- Automation of manual reporting and analytical processes
- Stakeholder adoption of dashboards and data tools
- Improvement in data quality and reliability
- Data is abundant and underutilized
- Problems are real and measurable
- Analytics must survive operational reality
Top Skills
APIs
Machine Learning
Microsoft Sql Server
Oracle
Power BI
Python
SQL
Am I A Good Fit?
Get Personalized Job Insights.
Our AI-powered fit analysis compares your resume with a job listing so you know if your skills & experience align.
Success! Refresh the page to see how your skills align with this role.
The Company
What We Do
KBR, Inc. is an American engineering, procurement, and construction company, formerly a subsidiary of Halliburton.
