Data Engineer
Connexion Systems + Engineering
Sudbury, MA
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JOB DETAILS
LOCATION
Sudbury, MA
POSTED
5 days ago
Remote with occasional onsite meetings
4-6 months.
Rate is open, based on experience.
1. Project Overview
The Global Service organization seeks to engage a qualified Data Engineer or Data Scientist to develop advanced reliability life?ing models using historical ServiceMax labor, parts, and work order data. This initiative will support global reliability, service strategy, parts planning, and product quality improvement by providing data?driven reliability estimates, early?life failure identification, and usage?based reliability insights across key systems and components.
The consultant will deliver a data foundation and predictive modeling framework that enables the organization to:
- Quantify usage?based life information (time and pulses where appropriate) for major subsystems and parts.
- Identify early?life failure patterns using pulses, cycles, time?in?service, and work order data.
- Develop global reliability models for systems and components based on historical field performance.
- Create a scalable, repeatable modeling process that can be adopted by internal teams after engagement
3.1 Data Engineering & Preparation
- Extract, clean, and transform historical data from ServiceMax, including:
- Work orders
- Failure codes
- Parts consumption
- Asset attributes
- Usage signals (pulses, cycles, hours, etc.)
- Develop a unified reliability dataset suitable for statistical modeling.
- Identify data gaps, inconsistencies, and required remediation.
- Develop Weibull, survival analysis, and time?to?failure models.
- Build usage?based reliability curves for components and systems.
- Generate statistical outputs including:
- B10/B50 life estimates
- Early?life failure rates
- Failure distribution curves
- Reliability trends by geography, product family, and usage profile
- Validate models for accuracy, repeatability, and business relevance.
- Build predictive algorithms estimating probability of failure based on real?world usage.
- Develop early-warning indicators for specific components or systems.
- Provide machine learning or regression?based forecasting where appropriate.
- Clean, structured reliability dataset derived from ServiceMax history.
- Usage?based B10, Weibull life models for designated parts and systems.
- Early?life failure detection framework using pulses/time/work order data.
- Documentation package, including:
- Data dictionary
- Modeling methodology
- Assumptions and validation steps
- Repeatable code or notebooks (Python/SQL)
- Final presentation summarizing insights, reliability findings, and recommendations.
About the Company
C
Connexion Systems + Engineering
Connexion is an award-winning professional staffing firm that strives to be the unrivaled staffing solution for job seekers by expertly connecting talent with opportunity. Over the last 20 years Connexion has built the most admired team of staffing experts in the industry. We give back, change lives and offer unconditional support to the candidates we represent.
Put Connexion's 20 years of experience to work for you! Our professionals have unrivaled relationships and contacts with the hiring managers, human resources team and decision makers at the most desirable companies to work for.
Don't let your resume get lost in an inbox, Connexion's recruiting team will advocate on your behalf to get you the job you want
COMPANY SIZE
500 to 999 employeesINDUSTRY
Staffing/Employment Agencies
FOUNDED
1999
WEBSITE
https://www.csetalent.com/