Hannover, Lower Saxony, Germany
1 day ago
(Senior) Process Analytics Specialist (m/f/diverse) - REF77625F

Company Description

Continental develops pioneering technologies and services for sustainable and connected mobility of people and their goods. Founded in 1871, the technology company offers safe, efficient, intelligent and affordable solutions for vehicles, machines, traffic and transportation. In 2024, Continental generated sales of €39.7 billion and currently employs around 190,000 people in 55 countries and markets.

With its premium portfolio in the car, truck, bus, two-wheel and specialty tire segment, the Tires business area stands for innovative top performance in tire technology. Services for dealers and fleet management as well as digital tire monitoring and management systems are further areas of focus. The aim is to contribute to safe, economical and sustainable mobility.

Job Description

We are seeking a highly skilled Process Analytics Specialist with experience in data science to join our Manufacturing Analytics team. In this role, you will leverage your strong background in data science, machine learning and statistical analysis as well as your knowledge about the production process to provide strategic insights, drive data-driven decisions and optimize our manufacturing processes. You work up and present results to stakeholders, taking into account their different backgrounds and expertise.

Key responsibilities:

Identify analytical use cases and valuable data sources to optimize manufacturing processes and product qualityAnalyse complex manufacturing data to identify trends, patterns, and opportunities for process improvementDevelop, implement and maintain predictive models and machine learning algorithms to optimize production processesDevelop and support implementation of algorithms running on cloud (model deployment)Collaborate with cross-functional teams to build up business understanding and develop data-driven solutionsConduct review loops, interpret results and KPIs and identify improvement measures together with manufacturing expertsDocument and present results taking into account the different knowledge of stakeholdersLead projects for data science or projects with analytical scopeProvide input and assistance for projects related to data analytics and data scienceAnalyse data structures and define standards and improvement measures for data qualitySupport and coordinate database set up for manufacturing related processesPrepare and build up data pipelines together with data engineers from ITDefine, support and create data aggregation process (ETL) to fulfil business requirementsMentor and guide junior data scientists and analystsCreate training concepts and train manufacturing colleagues for data related and analytical topics

QualificationsUniversity degree in an analytical field: Data Science, applied mathematics, Statistics or a related fieldSeveral years of professional experience in the area of Data Science or a data driven functionProficiency in programming languages such as Python or RFamiliarity with SQL databasesGood knowledge of data visualization tools like Tableau or Power BIProficiency of analytical methods like regression, classification, clusteringProficiency with machine learning / artificial intelligence Experience with cloud systems (e.g. Azure, AWS) and Big Data technologiesUnderstanding MLOps FrameworksExperience with cloud machine learning services for model development and deployment, such as Amazon Sagemaker is a plus Experience in the manufacturing industry is a plusExperience with working in international environment and remote teamsExcellent communication and presentation abilities: Clear and concise in communicating technical information to non-technical stakeholdersHands-on mentality and the ability to make pragmatic decisionsProfessional working proficiency in English

Applications from severely handicapped people are welcome.

Additional Information

We offer the following benefits:

Potential to an out of Tarif salary contract30 days of paid vacation per yearAttractive career development opportunitiesWe offer balanced working conditions by doing mobile work, working part-time, flexible working time as well as Sabbatical optionsCross-Border mobile work options up to 40 days per year from other EU countriesCompany Pension planAttractive employee benefits with discountsDiverse offers that support a better “work-family” balance (e.g. company childcare places and free emergency care for your children)Discounted offer for accessing sport facilities across Germany via Hansefit  A highly diverse environment across our location

Diversity, Inclusion & Belonging are important to us and make our company strong and successful. We offer equal opportunities to everyone - regardless of age, gender, nationality, cultural background, disability, religion, ideology or sexual orientation.

If this sounds like a perfect match for you and if you want to become the next supporter of our core values: Trust, for one another, passion to win and freedom to act - we are looking forward to receiving your application.

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