- Professional
- Office in Midland
DSI is a rapidly expanding company with over one hundred employees. As an employee-owned company you will have the benefit of being an owner participating in the ESOP accumulating shares of company stock as you earn. We offer competitive wages and a comprehensive benefits package including medical, dental, vision, disability, PTO and 401k match.
Canidate will be required to do an in-person interview in Midland Texas and will be required to report to the office in Midland, Texas. We are not entertaining candidates that will require sponsorship.
Responsibilities:
- Analyze large, complex datasets from sensors, drilling logs, seismic studies, and production systems.
- Develop predictive models for equipment reliability, production forecasting, and reservoir performance.
- Apply machine learning and statistical methods to optimize drilling and completions operations.
- Collaborate with engineers, geoscientists, and business teams to translate data insights into actionable strategies.
- Build dashboards and reports to monitor KPIs, detect anomalies, and support decision-making.
- Ensure data quality, governance, and integrity across multiple sources.
Qualifications:
- Bachelor’s or Master’s degree in Data Science, Computer Science, Statistics, Petroleum Engineering, or related field.
- Strong programming skills in Python or R; SQL expertise for data manipulation.
- Experience with machine learning, statistical modeling, and data visualization.
- Familiarity with time-series analysis, anomaly detection, and optimization methods.
- Strong communication skills to bridge technical insights with engineering and operations teams.
Nice-to-Have (Preferred):
- Knowledge of petroleum engineering concepts (reservoir modeling, drilling optimization, production systems).
- Experience with industry data platforms (e.g., OSIsoft PI System, Petrel, Schlumberger DELFI, Halliburton Landmark).
- Cloud platforms and big data tools (AWS, Azure, Databricks, Spark).
- Experience with real-time streaming data (IoT, SCADA systems).
What We Offer:
- Competitive compensation and benefits package.
- Opportunity to work on cutting-edge projects that directly impact operational safety, efficiency, and profitability.
- Professional development and training opportunities.
- A collaborative environment at the intersection of data science and energy innovation.
Canidate will be required to do an in-person interview in Midland Texas and will be required to report to the office in Midland, Texas. We are not entertaining candidates that will require sponsorship.Responsibilities:- Analyze large, complex datasets from sensors, drilling logs, seismic studies, and production systems.- Develop predictive models for equipment reliability, production forecasting, and reservoir performance.- Apply machine learning and statistical methods to optimize drilling and completions operations.- Collaborate with engineers, geoscientists, and business teams to translate data insights into actionable strategies.- Build dashboards and reports to monitor KPIs, detect anomalies, and support decision-making.- Ensure data quality, governance, and integrity across multiple sources.Qualifications:- Bachelor’s or Master’s degree in Data Science, Computer Science, Statistics, Petroleum Engineering, or related field.- Strong programming skills in Python or R; SQL expertise for data manipulation.- Experience with machine learning, statistical modeling, and data visualization.- Familiarity with time-series analysis, anomaly detection, and optimization methods.- Strong communication skills to bridge technical insights with engineering and operations teams.Nice-to-Have (Preferred):- Knowledge of petroleum engineering concepts (reservoir modeling, drilling optimization, production systems).- Experience with industry data platforms (e.g., OSIsoft PI System, Petrel, Schlumberger DELFI, Halliburton Landmark).- Cloud platforms and big data tools (AWS, Azure, Databricks, Spark).- Experience with real-time streaming data (IoT, SCADA systems).What We Offer:- Competitive compensation and benefits package.- Opportunity to work on cutting-edge projects that directly impact operational safety, efficiency, and profitability.- Professional development and training opportunities.- A collaborative environment at the intersection of data science and energy innovation.
Design Solutions and Integration is a prominent player in industrial solutions, celebrated not only for their expertise in design and integration but also for their distinction as an employee-owned company. This unique ownership model infuses their work across diverse industries with a sense of collaboration and shared purpose.
Their footprint spans various sectors including architecture, engineering, construction, and technology. Whether crafting efficient workspaces, integrating cutting-edge technology systems, or optimizing infrastructure for peak performance, Design Solutions and Integration brings a holistic approach to every project.
As an employee-owned enterprise, the company prioritizes a culture of shared success, where each team member is deeply invested in delivering exceptional results. This alignment of interests between employees and the company's goals fosters a dynamic and resilient organization, well-equipped to meet the unique needs of clients across industries.
Moreover, this ownership structure underscores Design Solutions and Integration's commitment to excellence and customer satisfaction. Clients can rely on their personalized approach and innovative solutions tailored to their industry-specific requirements, ensuring optimal outcomes and long-term success.
In essence, Design Solutions and Integration's status as an employee-owned company sets them apart, embodying values of collaboration, innovation, and customer-centricity across a diverse array of industries. This unique approach not only distinguishes them in the marketplace but also ensures a level of dedication and commitment that translates into exceptional results for their clients.
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