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Smart Factory Engineer [Data Scientist]- Plant (Sibiu)

Smart Factory Engineer [Data Scientist]- Plant (Sibiu)

We are looking for Data Analysts and Scientists!

Data Scientist, the sexiest job of 21st century, requires a mixture of multi disciplinary skills ranging from an intersection of mathematics, statistics, computer science, communication and business.

The activities are run within a team and you will work closely together with data analysts and data scientists, to design and develop Smart Factory solutions, considering:
  • advance data analysis with defined data mining methods and algorithms;
  • business processes, goals and strategy (business understanding);
  • visualization of data and analytics results;
  • complex data environments analysis, comprising of multiple data sources and formats;
  • insights to generate actionable recommendations;
  • technical details of work documentation;
  • raw data at scale (including writing scripts, web scraping, calling APIs, write SQL queries, etc.) gathering and processing;
  • wrangling of heterogeneous data sets, explore and discover new insights;
  • collaboration with Data Analysts, Data Scientists, IT-Departments and management in poject teams;
  • close collaboration with colleagues in plants around the world. Building and maintaining a network of experts within the company and with external partners;
  • continuous monitoring and evaluation of new solutions on the market for their usability and usefullness in our use cases.

    Math & Statistics
  • Machine learning;
  • Statistical modeling;
  • Experiment design;
  • Bayesian inference;
  • Decision trees, random forests, logistic regression.

    Programming & Database
  • Statistical computing package e.g. R, Knime;
  • Computer science fundamentals;
  • Scripting language e.g. Python;
  • Databases SQL and NoSQL;
  • Relational algebra;
  • Parallel databases and parallel query processing;
  • MapReduce concepts;
  • Hadoop and Hive/Pig;
  • Custom reduce;
  • Experience with xaaS like AWS.

    Domain knowledge & Soft Skills
  • Passionate about the business;
  • Curious about data;
  • Influence without authority;
  • Problem solver;
  • Strategic, proactive, creative, innovative and collaborative.

    Communication & Visualization
  • Translate data-driven insights into decisions and actions;
  • Visual art design;
  • R packages like ggplot or lattice;
  • Knowledge of any of visualization tools e.g. Flare, D3.js, Tableau.
  • Bachelor/ Master (preferred) in Computer Science, Mathematics, Statistics or equivalent;
  • Applied skills in using Big Data technologies (Hadoop, No SQL, logstash, Splunk, HBase, Spark, Hadoop, tableau, Knime, MicroStrategy);
  • Skills in using of statistics and data mining software packages is a bonus (IBM SPSS, SAS, RapidMiner, Knime);
  • 1-3 year experience in IT Jobs (software developemtn, database administration, data warehousing or similar);
  • Expertise with programming/ scripting languages such as Java, Python, R, Scala, Perl, SQL;
  • Initiative and creativity, persuasion and assertiveness;
  • Basic knowledge of Artificial Intelligence -methods and tools;
  • Advanced English – written and oral communication skills;
  • German and other language skills are of advantage;
  • Ability to develop scenario analysis using different approaches;
  • Critical and proactive thinker with capacity to quickly learn programming languages will be strongly considered;
  • Design and development experience working with large scale data warehouse, data mining and analytics platforms is a plus;
  • Data modeling, data ingestion approaches for structured, semi-structured and unstructured datasets;
  • Excellent problem-solving and analytical skills;
  • Ability to change direction quickly based on data analysis;
  • Willingness and readyness to manage projects in project teams around the world.
  • Pay for Performance Programs;
  • Relocation Package;
  • Flexible Working Time;
  • Personalized Development & Training Programs;
  • System for Rewarding Improvement Ideas;
  • Kindergarten on Site for Continental Employees' Children Only;
  • Health Management Programs & Medical Room on Site;
  • Health Insurance Services & Travel Insurance Policy;
  • Restaurant Concept & Coffee Corner on Site;
  • Other benefits to enjoy after-work and community projects;
  • Mobile Work;
  • Sabbatical Leave Program.
  • Apply now
    With sales of €34.5 billion in 2014, Continental is among the leading automotive suppliers worldwide and currently has approximately 200,000 employees in 53 countries. The Automotive Group with its three divisions Chassis & Safety (sales of approx. €7.3 billion in 2013, roughly 36.500 employees), Powertrain (sales of approx. €6.3 billion in 2013, roughly 32,400 employees) and Interior (sales of approx. €6.6 billion in 2013, roughly 34,400 employees) achieved sales of approximately €20 billion in 2013. The Automotive Group is present in more than 170 locations worldwide. As a partner to the automotive and commercial vehicle industry, it develops and produces innovative products and systems for a modern automotive future in which cars provide individual mobility and driving pleasure consistent with driving safety, environmental responsibility, and cost-efficiency.

    Apply now

    Continental is formulating regulations for flexible working conditions in 21 countries, at all levels and for all employees based at these locations. The package includes offers for mobile work, part-time and flexible working hours, and sabbaticals.

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