Analytics Engineer
4 months ago
Westminster
Job Description About Us Are you ready to be part of a team that is bringing revolutionary technology to the remediation industries? DISA Technologies is revolutionizing mineral recovery with our patented High-Pressure Slurry Ablation (HPSA) technology—an innovative solution that upgrades critical minerals from mined ore and legacy waste. Serving both the mining and remediation sectors, we recover valuable resources that power industry, strengthen energy independence, and restore contaminated sites to productive use. Our technology unlocks economic and environmental value, transforming how the world processes, remediates, and recycles essential mineral assets. Job Summary The Analytics Engineer designs, builds, and deploys advanced analytics and machine learning solutions to support DISA’s mineral recovery and remediation operations. This role applies AI/ML, numerical modeling, and statistical analysis to complex industrial data (e.g. time-series sensor data, particle size distributions, real-time process data) to improve equipment reliability, maintenance strategies, and process performance. The position works closely with engineering, operations, and maintenance teams to deliver practical, data-driven solutions that improve design decisions and operational efficiency in real-world environments. The ideal candidate will have experience in applied mathematics and data analysis, with the ability to translate advanced concepts into working solutions in a fast-paced environment. Education/ Experience • Bachelor’s degree in Chemical Engineering, Mechanical Engineering, Mechanical Engineering, Chemical Engineering, Industrial Engineering, Reliability Engineering, Data Analytics, Applied Mathematics, or a related technical discipline required., • 3–7 years of experience in one or more of the following preferred:, • Preventive or predictive maintenance modeling, • Reliability or asset management engineering, • Industrial analytics or operations data analysis, • Applied machine learning in industrial or physical systems, • Demonstrated experience analyzing large operational data sets (sensor data, maintenance logs, inspections, downtime, and performance metrics)., • Experience in industrial environments such as mining, manufacturing, chemicals, energy, or minerals processing is strongly preferred. Senior Process Engineer, unless otherwise designated. Typical Job Duties and Responsibilities • Analyze equipment, sensor, and maintenance data to identify degradation trends, failure modes, and reliability risks., • Develop and deploy AI- and ML-enabled models for predictive maintenance, condition monitoring, and remaining useful life (RUL) estimation., • Translate field and maintenance data into actionable insights that support design improvements and operational decisions., • Partner with operations and maintenance teams to ensure analytical models align with real-world workflows and constraints., • Apply advanced analytics to improve inspection strategies, spare parts planning, maintenance intervals, and asset performance., • Support continuous improvement initiatives by quantifying the impact of design, process, or operational changes., • Develop, review, and refine machine learning models supporting HPSA process optimization and predictive analytics., • Apply numerical methods, statistical learning, and data-driven modeling to enhance system monitoring and control., • Support integration of analytics and ML pipelines into production and operational systems., • Document methodologies, maintain codebases, and ensure reproducibility and usability of results., • Collaborate with all internal disciplines, and manage external partners, as necessary, on projects., • Implement shape- and geometry-based statistical tools for manufacturing process monitoring., • Support the integration of machine learning pipelines into production systems., • Document methods, maintain codebases, and ensure reproducibility of results, • Abide by all policies and procedures established by DISA., • Attend and participate in all required safety trainings. Required Skills • Strong understanding of industrial systems, equipment behavior, and preventive maintenance concepts., • Ability to analyze large, complex operational data sets and identify performance or reliability drivers., • Experience with control systems or SCADA data and SQL databases., • Practical experience applying AI or machine learning to physical systems (predictive maintenance, anomaly detection, optimization)., • Proficiency in Python and common data analysis / ML libraries (scikit-learn, PyTorch, TensorFlow, or similar)., • Experience working with time-series data, sensor data, or maintenance records., • Working knowledge of statistics, reliability analysis, and data-driven modeling., • Ability to communicate analytical insights clearly to non-data specialists., • Apply strong analytical and problem-solving skills to manage multiple projects effectively., • Communicate clearly and professionally, both verbally and in writing, to collaborate with colleagues, stakeholders, and clients., • Organize and prioritize tasks to meet deadlines while managing multiple projects., • Collaborate effectively as part of a team, supporting shared goals and fostering positive relationships., • Adapt to dynamic environments and identify solutions to challenges with flexibility and problem-solving skills., • Maintain professionalism with high attention to detail, reliability, accountability, and accuracy in all work deliverables., • Uphold and demonstrate DISA’s Values of Dedication, Innovation, Sustainability, and Accelerate Change., • Ability to follow safety protocols and maintain compliance with OSHA/MSHA and company safety standards., • Be a valid U.S. citizen or legally authorized to work in the United States., • Possess a valid driver’s license with a clean driving record. Physical Requirements • Must be able to relocate to Casper, WY., • Must be able to sit and/ or stand for extended periods of time., • Must be able to lift up to 25 lbs. occasionally., • Must be able to interact with people and technology while either standing or sitting., • To best service our customers, all employees must be able to communicate face-to-face and on the phone with or without reasonable accommodation., • Ability to travel up to 50%., • Must be able to perform repetitive tasks such as typing. DISA Technologies provides equal employment opportunities (EEO) to all employees and applicants for employment without regard to race, color, religion, sex, national origin, age, disability, or genetics. Benefits • Bonus Pool, • 401(k) with matching up to 4%, • Employee stock options, • Health insurance, • Dental insurance, • Vision insurance, • Life insurance, • Paid holidays, • Paid time off, • Professional Development
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