Principal Consultant Data Science

Job Description

Your tasks

As a team member of the Group Sector Central Function Technology of ContiTech, you will be globally responsible to drive success of applied data science and effective usage in all areas of the organization. Design and implement innovative data-drive solutions to solve complex business problems, using cutting-edge techniques to build up customer centric platforms to reduce complexity, ensure standards, maximize cost savings as well as developing innovative material-driven solutions for a carbon-neutral and 100% circular product portfolio.

You

Consult on effectively applying Data Science methodology, technology, and good practices, complementing AI / DS platform owners, AI / DS sector owners, AI / DS project owners.

Create and execute a global Data Science / Data Architecture strategy based on the overall CT Technology strategy together with the CFO IT Data Science team.

Portfolio Management - Define the Process of Portfolio and bring it into execution

Ideation Facilitator : Explore with Business Areas to keep the Use case pipeline filled continuously

Develop best practices, guidelines, and standards for data science in collaboration with AI / DS stakeholders to build solutions.

Maintain a deep understanding of the business and industry to identify emerging trends and research to actively drive technology opportunities.

Work closely with cross-functional teams to identify opportunities for improving business performance and delivering impactful results.

Develop and implement models and algorithms using machine learning, deep learning, natural language processing, and statistical analysis.

Lead the development and implementation of data pipelines and infrastructure to support data analysis and modeling.

Establish and maintain partnerships with internal and external partners.

Optimize data-driven decision-making processes to enhance operational efficiency and effectiveness.

Ensure data quality and integrity through rigorous validation and testing procedures.

Mentor and train junior data scientists to build a strong and capable team.

Qualifications

Your Qualifications

University degree in Computer Science, Data Science, Mathematics, Statistics, or related fields.

Extensive knowledge of data science techniques including descriptive and inferential statistics, big data and data mining technologies, and machine learning.

Experience with programming languages such as Python or R.

More than 8 years of dedicated experience in various data science-related roles in the industry.

Experience in agile project management with internal and external partners. Strong project management skills with the ability to manage multiple projects simultaneously.

Excellent communication and leadership skills.

Critical thinking, organizational skills, and a problem-solving mindset.

Experience in a manufacturing industry is a plus.

Inspire your stakeholders and contact partners with effective communication and high intercultural sensitivity.

Collaborative, team player attitude and convinced that networking and knowledge sharing are key drivers for success.

Up-to-date on the latest trends in the industry concerning classical data science, data mining, advanced analytics, etc.

Proven ability to translate complex data into actionable insights for non-technical stakeholders.

Demonstrated ability to work in a fast-paced, dynamic environment and adapt to changing priorities.

Additional Information

You

inspire your stakeholder and contact partner with an effective communication of high intercultural sensitivity

Collaborative, team player attitude and convinced that networking and knowledge sharing are key drivers for success

up to date on the latest trends in the industry concerning classical data science, data mining, advanced analytics, etc.