Smart Factory Engineer - Plant (Sibiu)

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Continental dezvoltă tehnologii și servicii inovatoare pentru mobilitatea sustenabilă și interconectată a oamenilor și a bunurilor acestora.
Compania cu profil tehnologic fondată în 1871 oferă soluții sigure, eficiente, inteligente și accesibile pentru autovehicule, mașini, trafic și transport. Continental are în prezent peste190.000 de angajați în 58 de țări și piețe.

Cerinte

*BS/MS (preferred) in Computer Science, Mathematics, Statistics or equivalent
*Applied skills in using Big Data technologies (Hadoop, No SQL) is a plus

Responsabilitati

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.

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 independently or within a team, to design and develop Smart Factory solutions.

Job Description

* 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. Math & Statistics
* Machine learning;
* Statistical modeling;
* Experiment design;
* Bayesian inference;
* Supervised learning; decision trees, random forests, logistic regression;
* Unsupervised learning; clustering; dimensionality reduction;
* Optimization: gradient descent and variants. Programming & Database
* Computer science fundamentals;
* Scripting language e.g. Python;
* Statistical computing package e.g. R;
* 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
* Able to engage with senior management;
* Story telling skills;
* 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.

Job Requirements

* BS/MS (preferred) in Computer Science, Mathematics, Statistics or equivalent
* Applied skills in using Big Data technologies (Hadoop, No SQL) is a plus
* 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 development, 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
* Advanced English - excellent English written and oral communication skills (German and other language skills are of advantage)
* Proficiency in compiling data, creating reports and presenting information
* Ability to work independently with minimal supervision, using initiative to anticipate needs in areas of responsibility
* 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
* Enjoying discovering and solving problems

What We Offer

* Pay for Performance Programs;
* Relocation Package;
* Flexible Working Time;
* Sabbatical Leave Program;
* Mobile Work;
* 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 & Life Insurance Policy;
* Restaurant Concept & Coffee Corner on Site;
* Other benefits to enjoy after-work and community projects.

Let your ideas shape the future. Take the first step and fill in the online application.