Data Scientist

Solaris Energy Infrastructure; Houston (TX); On-site; USD 120,000 - 150,000; Full time

Benefits offered by this job

Medical, Dental & Vision

Disability Insurance

Life/AD&D

401(k) plan

Paid time off

Tuition Reimbursement

Job summary

Solaris Energy Infrastructure seeks a mid-level Data Scientist to support turbine operations and reliability. You will bridge data engineering, ML modeling, and turbine knowledge to improve fleet uptime and provide actionable insights for leadership.

Responsibilities include building P&L dashboards, mining downtime data from SCADA sources, and deploying predictive models. Collaboration with engineering and operations is essential to align data with real-world conditions.

Qualifications

• Bachelor's degree or higher in a data-related field.
• 2–5 years of data analysis experience in energy/industrial ops preferred.
• Proficiency in SQL and Python; ability to build dashboards.
• Experience with time-series forecasting and predictive analytics.
• Experience with SCADA/historian data (OSIsoft PI etc.).
• Ability to communicate technical findings to non-technical stakeholders.
• Familiarity with cloud data platforms and ML deployment pipelines.

Responsibilities

• Build and maintain dashboards tracking turbine fleet KPIs and financials.
• Translate operational data into clear KPIs for leadership.
• Support monthly/quarterly reporting with timely data.
• Collect and structure turbine downtime data from SCADA/CMMS/ OEM reports.
• Develop predictive models to forecast downtime and degradation.
• Create anomaly detection tools from sensor data and validate outputs with OEM guidance.
• Collaborate with Engineering and Operations to reflect real-world conditions in data pipelines.

Skills

SQL

Python (pandas, scikit-learn)

Data visualization

Time-series forecasting

SCADA data familiarity

Cloud platforms (Azure, AWS)

Machine learning modeling

Effective communication

Education

Bachelor's degree in Data Science, Statistics, Computer Science, Engineering, or related field

Tools

Power BI

Tableau

OSISoft PI

Databricks/Snowflake

Azure/AWS

Job description

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.

About Solaris Energy Infrastructure

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 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
• Experience 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 conflicts
• Total ownership mentalit – 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 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 packages
• Medical, Dental & Vision benefits
• 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
• Career Progression
• 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.