Data Scientist & Power BI Specialist (m/f/d)
External
Aumovio · Timișoara, RomaniaPrepare for this interview
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Requirements
- Experience with LLM‑powered knowledge extraction for internal market reports.
- Understanding of semiconductor CAPEX cycles, TAM/SAM modeling, and pricing architecture.
- Familiarity with automotive quality and PPAP processes.
- Exposure to supplier negotiation support or purchasing environments.
Benefits
Additional Information
We are looking for a person passionate in data science with expertise in semiconductor market data processing , forecasting , and scenario analysis to support strategic decisions for a global Tier‑1 automotive organization. We are looking for a personality passionate in data analytics and business intelligence to create transparency in the semiconductor market for AUMOVIO. Tasks include: Build AI/ML predictive models to forecast semiconductor supply, demand, pricing, lead times, and risk scenarios (geo‑politics, technology transitions, capacity shifts). Develop automated market‑intelligence pipelines integrating data from suppliers, foundries, market trackers, government releases, and financial sources. Create executive‑ready dashboards and insights in Power BI, Share Point Sites, and Power Point presentations (or equivalent) with strong storytelling for Purchasing leadership. Maintain and evolve a semiconductor technology and capacity database (nodes, wafer transitions 200→300mm, packaging, yield intelligence, CAPEX trends). Perform statistical deep‑dive analyses to detect anomalies, market signals, price‑volume correlations, and supply bottlenecks. Drive data governance and data quality frameworks across Purchasing, Engineering, and Category Management. Support negotiation teams with fact‑based intelligence, cost modeling inputs, and competitor benchmarking. Provide quarterly market outlooks and ad‑hoc crisis intelligence during disruptions Qualifications & Experience: Academic background in Data Science, Computer Science, Mathematics, Economics, Engineering, or equivalent. 3-7 years hands‑on experience in data science, market intelligence, or semiconductor analytics. Strong knowledge of the semiconductor supply chain, including: Foundry vs IDM models Technology nodes Packaging & test capacity Cost drivers (FE / BE processes) Geo‑political risk clusters Proven experience with ETL and data processing (KNIME, Alteryx, Databricks , Python , or similar). Advanced proficiency with Power BI, DAX modeling, and dashboard automation. Practical experience in machine learning (forecasting models, regression, clustering, time‑series prediction). Excellent communication skills with ability to turn complex data into clear, actionable management insights. Strong ownership, structured working style, high drive, and ability to work cross‑functionally. Occasional international travel.
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Company Intel
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