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Title:  Director Big Data Science

Requisition ID:  52342
Department:  Software System Development Department

Duesseldorf, DE Bourne End, GB Sofia, BG Athens, GR

Job Function:  Software


Renesas ABU Software Division (SWDD) bring software solutions to our customers. Building on Renesas automotive technology, SWDD bring new Car & Mobility solutions to the world through innovative Software and Development Environments.
SWDD are defining a new era of software-defined architecture. This targets to cover development on the cloud, edge computing, as well as big data analysis.  We are looking for candidates in the area of data analysis to lead the operation & maintenance side for big data gathering & analysis.


The Job


As a Director Big Data Science, you will:
•    Recruit, train, and lead a team of data analysts.
•    Establish new systems and processes and look for opportunities to improve the flow of data.
•    Evaluate new and emerging technologies.
•    Turn data into information, information into insight, and insight into business decisions.
•    Generate large databases from various sources of structured and unstructured data
•    Analyse data and generate statistical information to identify trends and patterns
•    Understand the phases of product delivery and expert analyses across product life cycles, running the analysis for each stage and contributing to decision making
•    Use a range of programming languages to transform big data into data sets
•    Translate technical data to simple language and giving recommendations and conclusions to stakeholders
•    Develop interactive dashboards that combine visuals with real-time data
•    Build scalable machine learning pipelines and using feature engineering and optimisation methods to improve data set performance

Your Profile


•    7-10 years of Managerial experience.

•    12-15 years of relevant experience (e.g. Automotive domain, DevOps, Cloud development).
•    Bachelor’s degree in a relevant discipline (e.g., computer science, mathematics, statistics, economics) and master’s degree in data science or data analytics.
•    Experience in running end to end machine learning pipelines, including deployment to production as well as stakeholder engagement.
•    Experience in working with large amounts of data and data systems.
•    Proficient with Programming languages (Python, Java, JavaScript, SQL) 
•    Experience with machine learning frameworks (Tensorflow or PyTorch)
•    Experience with NLP libraries (NLTK, openNLP, Standord-NLP, WordNet) and with cloud platforms (AWS, GCP, MS Azure, IBM)
•    A solid understanding of data sources, data organization and storage
•    In-depth knowledge of statistical methodologies and data analysis techniques




Renesas Electronics Corporation (TSE: 6723) empowers a safer, smarter and more sustainable future where technology helps make our lives easier. A leading global provider of microcontrollers, Renesas combines our expertise in embedded processing, analog, power and connectivity to deliver complete semiconductor solutions. These Winning Combinations accelerate time to market for automotive, industrial, infrastructure and IoT applications, enabling billions of connected, intelligent devices that enhance the way people work and live. Learn more at Follow us on LinkedIn, Facebook, Twitter, YouTube, and Instagram.


Renesas’ mission, To Make Our Lives Easier, is underpinned by our company culture, TAGIE. TAGIE stands for Transparent, Agile, Global, Innovative and Entrepreneurial. Our goal is to embed this unique culture in everything we do to succeed as a company and create trust with our diverse colleagues, customers and stakeholders.


We are committed to creating a diverse culture where everyone is included and feels a sense of belonging. For more information, please read our Diversity & Inclusion Statement.