About this opportunity
Solaris Oilfield Infrastructure, LLC lists this Data Scientist opportunity in houston, Texas. Review the employer’s description below for duties, qualifications and application requirements.
Job description
About Solaris Energy Infrastructure
Solaris Energy Infrastructure, Inc. (NYSE:SEI) provides scalable equipment-based solutions for use in distributed power generation as well as the management of raw materials used in the completion of oil and natural gas wells. Headquartered in Houston, Texas, Solaris serves multiple U.S. end markets, including energy, data centers, and other commercial and industrial sectors.
Job Description
About the Opportunity
Solaris is seeking a mid-level Data Scientist to support turbine operations and engineering reliability efforts. This role bridges data engineering, statistical/ML modeling, and turbine domain knowledge to improve fleet reliability, reduce unplanned downtime, and provide operational and financial visibility to engineering and business leadership. The ideal candidate is comfortable moving between building dashboards for business stakeholders and developing predictive models for equipment health.
Essential Functions
Reporting & Business Analytics
Build and maintain P&L dashboards tracking turbine fleet financial performance, availability, and cost drivers
Translate operational data into clear financial and operational KPIs for engineering and business leadership
Support monthly/quarterly reporting cycles with accurate, timely data
Downtime & Reliability Data
Collect, clean, and structure turbine downtime data from SCADA, CMMS, OEM reporting, and field logs
Classify and root-cause downtime events (mechanical, electrical, control system, weather, grid-related, etc.)
Maintain a reliable, queryable historical database of outage and maintenance events across the fleet
Predictive Analytics & AI Tools
Develop and deploy predictive models (ML-based and statistical) to forecast turbine downtime and component degradation ahead of failure
Build anomaly detection and early-warning tools using sensor/operational data (vibration, temperature, pressure, combustion parameters, etc.)
Work with engineering to validate model outputs against physical failure modes and OEM guidance
Iterate on models as new failure data becomes available; track model performance over time
Reliability Improvement Support
Partner with the Reliability Manager and engineering team to identify trends driving forced outages and derates
Support root cause analysis (RCA) efforts with data-driven insights
Recommend maintenance interval or strategy adjustments based on data trends (RCM/predictive maintenance support)
Cross-Functional Collaboration
Work closely with Operations, Engineering, and Asset Management to ensure data pipelines reflect real-world turbine conditions
Present findings to technical and non-technical stakeholders, including leadership
Qualifications
Experience/Education
Bachelor's degree in Data Science, Statistics, Computer Science, Engineering, or related field (or equivalent experience)
2–5 years of experience in data analysis, with exposure to industrial/energy/manufacturing operations preferred
Proficiency in SQL and Python (pandas, scikit-learn, or similar)
Experience building dashboards (Power BI, Tableau, or similar)
Strong understanding of statistical analysis and predictive modeling techniques
Ability to communicate technical findings to non-technical stakeholders
Familiarity with time-series forecasting, anomaly detection, or condition-based monitoring techniques
Experience with SCADA/historian data (OSIsoft PI, or similar)
Exposure to reliability engineering concepts (MTBF, RCM, FMEA)
Experience with cloud data platforms (Azure, AWS) and ML deployment pipelines
Key Skills and Qualifications
Exceptional communicator – direct and transparent, skilled problem-solver with proven success in building coalitions and avoiding conflicts
Total ownership mentalit y – proactively identifies and removes obstacles across numerous ongoing tasks
Independent thinker – provides original thoughts and constantly asking "how can we do this better"
Innovative thinker – willingness to consider novel solutions and ability to adapt to change
Desirable teammate – impeccable character, humility, and collaborative
Relentless – aspires to contribute and achieve his/her full potential
Additional Information
Our CREATORS Culture
At Solaris, we believe that staying true to our core beliefs improves our decision-making, productivity and is key to our individual and collective achievements. Combining your innovative thinking with our core values that encourageC ommunication,R ecognition,E ntrepreneurship,A ccountability,T eamwork &T ransparency,O wnership,R esults andS afety, we becomeCREATORS .
We value your hard work, integrity, and commitment to the Solaris “First in Service & Innovation” culture through competitive pay and benefits packages and ongoing career development.
Competitive compensation packages
Disability Insurance
Company paid Life and AD&D insurance with supplemental offerings
Company matching 401(k) retirement plan
Paid time off, including 10 paid holidays
Tuition Reimbursement
This job overview is not all inclusive. In addition, Solaris reserves the right to amend this job overview at any time. Solaris is an Equal Opportunity Employer.
Why Solaris
Join a company at the forefront of the energy infrastructure buildout powering data centers and industrial growth. We offer competitive compensation, benefits, and opportunities to grow alongside a high-performing team.
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Worksite address
houston, TX, 77246, US
Who can apply
Review the original listing for work authorization, qualifications and employer requirements.