Capgemini

Asset Analytics Engineer

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SeniorHybryda·WarszawaFull-time

#423457·Dodano miesiąc temu·12

Źródło: nofluffjobs.com

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Tech Stack / Keywords

Data analyticsPython pandas NumPy SQL SAPPMAPIPostman

Firma i stanowisko

Capgemini is a global engineering services leader helping innovative companies with R&D and engineering across industries. The company combines AI, technology, and human ingenuity to transform operations, focusing on intelligent and sustainable futures. Capgemini works on digital and software technology solutions including autonomous cars and life-saving robots, employing over 410,000 team members globally.

Wymagania

5+ years of experience in data analytics, reliability engineering, or a related field with hands-on experience on platforms such as SmartSignal, Aspen Mtell, or AVEVA PRiSM, including Blueprint and model review workflows
Strong proficiency in Python (especially Pandas, NumPy) for data manipulation and custom analytics development
Solid SQL skills for querying CMMS systems (Maximo, SAP PM) and Historian databases
Experience with industrial data systems including PI, OPC, and IP21 historians
Familiarity with API data extraction tools such as Postman or equivalent
Structured, detail-oriented approach to data quality and model governance with ability to manage model lifecycle activities including training, tuning, retraining, and performance monitoring across large asset fleets

Obowiązki

Perform complex tag mapping of historian data sources (PI, OPC, IP21) to the SmartSignal Standard Data Model, ensuring data lineage, quality, and consistency across fleet-level deployment
Apply Similarity-Based Modelling (SBM) and Empirical Model Learning (EML) techniques to establish accurate "Normal" operating profiles and select Gold Standard training windows representing healthy asset states
Develop and maintain Analytic Blueprints as reusable templates for common industrial asset classes (pumps, motors, transformers) to enable rapid and scalable deployment
Monitor model performance using Precision/Recall metrics, perform retraining following asset overhauls, and tune statistical thresholds to minimize false positives and maximize signal fidelity
Write Python scripts (using Pandas, NumPy) for data manipulation, custom analytic rule development, and feature engineering to enhance model accuracy

Benefity

Training budget with access to over 70 training tracks including certification opportunities (e.g., GenAI, Architects, Google)
Sports subscription card
Private healthcare (medical care with Medicover)
Access to Capgemini Helpline for therapeutical support and educational podcasts
Continuous feedback and ongoing performance discussions supported by transparent performance management tools
Hybrid working model combining modern office and ergonomic home office setup (includes laptop, monitor, chair)
Free coffee
Bike parking
Free parking
Mobile phone
In-house trainings
Modern office environment
No dress code

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