Location
In office
Seniority
Middle · 4+ years exp
Confirmed on the employer's own hiring board on Oct 24, 2026. First seen by Alion on Oct 22, 2026.
Overview
Company
Impact
Profile match
VDS Consulting Group, also known as Value Driven Solutions, is a leading global management consulting firm specializing in helping businesses achieve world-class performance. With a focus on continuous improvement, they offer a range of custom solutions to drive growth and optimize operations. Their services include lean consulting, interim staffing, and employee training, all designed to enhance business processes and improve shareholder value. Whether you're seeking rapid improvements or long-term strategic initiatives, VDS Consulting Group can deliver substantial gains in profitability and working capital. Their expertise spans various industries, including aerospace & defense, food & beverage, industrial & manufacturing, oil & gas, pharmaceuticals & medical devices, private equity, procurement, semiconductor & electronics, specialty chemicals, and supply chain & operations. At VDS Consulting Group, they follow the Value Driven Approach®, which involves conducting a diagnostic of current performance, proposing improvement opportunities, developing a roadmap, addressing talent needs, and ensuring committed delivery with measurable outcomes. Trusted by global leaders, VDS Consulti
Industrial Data Scientist
Turn raw machine telemetry into predictive maintenance and process insights that help the factory self-correct.
What you'll do
- Clean, contextualize and model time-series data from sensors, PLCs, historians and MES
- Build predictive maintenance, anomaly detection and remaining-useful-life models
- Develop multi-sensor correlation models for quality and yield
- Deploy models to edge or cloud and build operator-facing dashboards
- Walk plant engineers through results on the floor and refine models with their input
Requirements
- 4+ years in data science, with industrial or manufacturing data experience
- Python (pandas, scikit-learn, PyTorch or TensorFlow) and SQL
- Experience with time-series and signal data (vibration, temperature, current)
- Familiarity with historians such as AVEVA PI or Canary
Nice to have: Databricks, Azure/AWS ML services, MLOps, reliability engineering knowledge, Power BI or Grafana.
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