Data Scientist

Solaris Energy Infrastructure, Inc. (NYSE:SEI) delivers comprehensive power infrastructure solutions including generation, distribution, installation and commissioning, aftermarket support, and operations and maintenance. Headquartered in Houston, Texas, the Company serves multiple U.S. end markets, including data centers, energy, 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 driversTranslate operational data into clear financial and operational KPIs for engineering and business leadershipSupport monthly/quarterly reporting cycles with accurate, timely dataDowntime & Reliability Data Collect, clean, and structure turbine downtime data from SCADA, CMMS, OEM reporting, and field logsClassify 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 fleetPredictive Analytics & AI Tools Develop and deploy predictive models (ML-based and statistical) to forecast turbine downtime and component degradation ahead of failureBuild 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 guidanceIterate on models as new failure data becomes available; track model performance over timeReliability Improvement Support Partner with the Reliability Manager and engineering team to identify trends driving forced outages and deratesSupport root cause analysis (RCA) efforts with data-driven insightsRecommend 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 conditionsPresent 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 preferredProficiency 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 techniquesAbility to communicate technical findings to non-technical stakeholdersFamiliarity with time-series forecasting, anomaly detection, or condition-based monitoring techniquesExperience 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 pipelinesExperience with data warehouses (DataBricks, Snowflake, or similar) Key Skills and Qualifications Exceptional communicator – direct and transparent, skilled problem-solver with proven success in building coalitions and avoiding conflictsTotal ownership mentality – proactively identifies and removes obstacles across numerous ongoing tasksIndependent 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 changeDesirable teammate – impeccable character, humility, and collaborativeRelentless – 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 encourage Communication, Recognition, Entrepreneurship, Accountability, Teamwork & Transparency, Ownership, Results and Safety, we become CREATORS. 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 packagesMedical, Dental & Vision benefitsDisability InsuranceCompany paid Life and AD&D insurance with supplemental offeringsCompany matching 401(k) retirement planPaid time off, including 10 paid holidaysCareer ProgressionTuition ReimbursementThis 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.