Senior Data Scientist / AI Specialist (ML)

Website Continental

datascience; AI; MachineLearning; datadriven; datascientist

OUR COMPANY

We are one of the world’s leading suppliers to the automotive industry, developing solutions to realize people’s dreams of day-to-day mobility. Driver safety, sustainability and industrialization of the technology of the future are just some of our areas of activity where we already make a significant difference in people’s daily lives. What moves us is to know that our technology helps to make the world a better and safer place.

 

JOB DESCRIPTION

The Senior Data Scientist / AI Specialist will be highly strategic resource for ContiTech. Working within the newly formed Innovation & Digitalization Group, you will directly  contribute in  the areas of Data Science/AI  for developing  POCs, MVPs and applications for new ventures, products or services and have a direct impact on our new AI / Data driven technical solutions.

The following responsibilities are:

  • Lead projects and steer teams to create AI-powered applications for ContiTech;
  • Segment, model and analyze data to develop prototypes and software products that can be deployed across varied environments;
  • Develop and share best practices of professional data science;
  • Employ state-of-the-art Machine Learning methods that power the features of our digital applications and be responsible for the planning and development of all ML components;
  • Be part of our ContiTech and Tires Digital team and closely collaborate with team members of other disciplines like Software Engineering, Software Testing, DevOps, etc.;
  • Consult teams and domain experts how to bring AI to their applications;
  • Support in shaping the processes and organization to leverage the business value Data Science can bring to our enterprise.

 

JOB REQUIREMENTS

  • Master’s degree or PhD in Computer Science, Mathematics, Data Science, or related studies;
  • Minimum 4 years of IT or Industry working experience;
  • In-depth knowledge of a data product journey (data collection, data labeling, data preparation, model development, model evaluation, model optimization, model deployment);
  • Demonstrated Machine Learning background, with relevant hands-on experience applying ML models to time-series data;
  • Expertise in programming with widespread AI Frameworks (e.g., Tensorflow, PyTorch or else);
  • Experience with ML software and model deployment tools (e.g. Git version control, unit tests, containers);
  • Previous working experience on image processing and computer vision methods (preferable);
  • Good to have data engineering knowhow;
  • Ability and experience in communicating/reporting results through data visualization;
  • Previous experience in deploying ML models on mobile and/or IoT devices (is a plus);
  • Project management skills;
  • Reliable team player with structured self-organized workstyle;
  • Problem-solving, proactive, and critical thinking attitude;
  • Good communication skills (technical and business audiences);
  • Experience in working in highly cross cultural and international team  (desirable);
  • Good English language skills (written and spoken).

 

WE OFFER

  • Integration in a challenging and international work environment, featured by the existence of state-of-the-art technologies;
  • An attractive remuneration package and benefits;
  • Continuous professional training and excellent possibilities of personal and professional development.

 

MORE INFO

|✉| carlos.madureira@continental.com 


Disclaimer

Data Science Portugal retains the right to refuse to post jobs from any employer or any organization that do not support the interests and values of Data Science Portugal and its community.

Postings are based on the information provided by the employer and is of their entire responsibility.

Data Science Portugal makes no guarantee about positions listed and is not responsible for safety,wages, working conditions, or other aspects of employment. It is the responsibility of each individual job seeker to research the integrity of the organization(s) to which he/she is applying and to verify the specific information pertaining to the job posting. Job seekers should exercise due diligence and use common sense and caution when applying for or accepting any position.

We will not post jobs that appear to discriminate against applicants on the basis of race, color, religion, creed, age, national origin, sexual orientation, disability, or gender.


To apply for this job please visit manpowergroup.pt.