Directing the data gathering, data mining, and data processing processes in huge volume; creating appropriate data models to support predictive maintenance.
Exploring, promoting, and implementing semantic data capabilities and advanced modeling paradigms to synthesize equipment insights from unstructured service data.
Defining requirements and scope of data analyses; presenting and reporting possible business insights to management using data visualization technologies.
Conducting research on data model optimization and evaluating emerging generative technologies to improve the effectiveness and accuracy of equipment health assessments.

Requirements

Master’s or PhD degree in Applied Statistics, Data Science, Business Analytics, Predictive Analytics, Business Intelligence & Analytics, Mathematics, Computer Science, Engineering (Aerospace, Electrical, Mechanical, Computer, Industrial, Agricultural, etc.), or equivalent technical degree
Experience with advanced statistical methods such as survival analysis/reliability engineering, statistical process control, Bayesian inference, and time series analysis.
Practical applications of machine learning techniques such as Clustering, Regression/Classification, Random Forests, and Deep Learning.
Experience with model interpretability methods and communicating model behavior to stakeholders.
Competency in coaching and mentoring junior Data Scientists in the creation, validation, and application of statistical models as well as in implementing digital solutions.
Extensive experience applying python (NumPy, SciPy, pandas, etc) programming to solve business challenges (typically 3+ years).
Practical knowledge of cloud computing and workflow orchestration (e.g., Airflow) for building solutions in cloud environments (AWS, Snowflake, etc.).
Good communication, interpersonal, and collaboration skills.
Strong initiative to research and apply modern AI advancements, including generative approaches, to further enhance the evolution of predictive maintenance capabilities.

Benefits

Medical, dental, and vision benefits*
Paid time off plan (Vacation, Holidays, Volunteer, etc.)*
401(k) savings plans*
Health Savings Account (HSA)*
Flexible Spending Accounts (FSAs)*
Health Lifestyle Programs*
Employee Assistance Program*
Voluntary Benefits and Employee Discounts*
Career Development*
Incentive bonus*
Disability benefits
Life Insurance
Parental leave
Adoption benefits
Tuition Reimbursement

Applicant Tracking System Keywords

Tip: use these terms in your resume and cover letter to boost ATS matches.

Hard Skills & Tools

data gatheringdata miningdata processingdata modelingstatistical methodsmachine learningmodel interpretabilitypredictive maintenancedata visualizationcloud computing

Soft Skills

communicationinterpersonal skillscollaborationcoachingmentoringinitiativeresearchpresentationreportingstakeholder communication

Certifications

Master’s degreePhD degree