Data ScientistClient

he/she should have worked on manufacturing domain, it's not the company but the job nature. Smart manufacturing / smart factory / Industry 4.0 / OEE (overall equipment efficiency)

The client prefers someone who has worked with L&T Technology Services before (even for a short period of time).

Job Title - Data Scientist

Client Magna

Location Troy, Michigan

Salary 70 to 90 K per year (FTEs preferred)

Job Description:

• 3+ years of practical experience with data science / processing and analytics
• Experience in Manufacturing domain: smart manufacturing / smart factory / Industry 4.0 / OEE (overall equipment efficiency)
• Ability to sift through data, identify critical information, analyze, develop hypothesis and make recommendations to broader audience required
• Experience developing and running simulation, optimization, and what-if scenario planning tools to support decision making
• Experience building and maintaining predictive and/or prescriptive models in production at enterprise scale
• Excellent written and verbal communication skills in English language, including ability to develop and deliver presentation. Additional Language skills are an advantage (German, Spanish, Mandarin)
• Advance Knowledge and engineering skills in (Cloud) big data & database technologies, data management & data pipeline development
• Experience with Microsoft Azure stack (Azure Data Warehouse, Databricks, Azure Analysis Services, Power BI) is an advantage
• Advanced degree, applicable certification, or equivalent experience in Operations Research, Management Science, Industrial and Systems Engineering, Statistics, Mathematics, Economics, Computer Science or related field

Major Responsibilities

Design and develop algorithms and models to use against large datasets to create business insights. Incorporate business knowledge into solution approach by trustful collaboration with internal customers and cross-functional teams

Lead Data Science & Analytics projects & initiatives and work independently on solution development; Execute tasks with high levels of efficiency and quality; Make appropriate selection, utilization and interpretation of advanced analytical methodologies; Prepare reports, updates and presentations related to progress made on a project or solution

Effectively communicate insights, recommendations and its impact to both technical and non-technical leaders and business partners

Participate in establishing and continuously improving Magna's data science practice by developing replicable solutions (e.g. codified data products, recipes, project documentation, process flowcharts)

Seek further knowledge on key developments within data science, technical skill sets, and additional data sources

Regular travel not to exceed 15%.

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