(Senior) Data Scientist

Posted 9 Hours Ago
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Lousado, Vila Nova de Famalicão, Braga, PRT
Hybrid
Senior level
Automotive • Manufacturing
The Role
Develop and deploy advanced data science and machine learning models for connected mobility products. Lead technical projects from scoping and proof-of-concept through production deployment and lifecycle management. Collaborate with data engineering, MLOps, and business teams to translate requirements into scalable solutions. Communicate technical concepts to stakeholders, mentor junior data scientists, review work, and promote best practices.
Summary Generated by Built In
Company Description

Continental is a leading tire manufacturer and industry specialist that develops and produces sustainable, safe and convenient solutions for automotive manufacturers as well as industrial and end customers worldwide. Founded in 1871, the company generated sales of €19.7 billion in 2025 and currently employs around 78,000 people in 54 countries and markets.

Job Description

In Digital Solutions, we drive innovation for connected mobility and deliver cutting-edge digital products to our global fleet customers. As a Senior Data Scientist, you will be at the forefront of transforming data into intelligent, scalable solutions.
You will design, develop, and deploy advanced data science models that solve complex business challenges and deliver measurable impact. Working closely with Data Engineers, MLOps Engineers, and cross-functional teams, you will turn raw data into actionable insights and production-ready solutions that power smarter, safer, and more efficient mobility worldwide.
 

Key responsibilities:

•    Lead technical development projects, including scope definition, concept design, and proof-of-concept, and report progress to stakeholders;
•    Design and develop data science models to solve complex customer problems and conduct proof-of-concepts for feasibility and scalability;
•    Build and deploy validated models into production-ready solutions, ensuring robustness, maintainability, and lifecycle management;
•    Engage with business stakeholders to understand requirements, facilitate workshops, and translate technical topics into clear, non-technical language;
•    Collaborate with MLOps Engineer and Data Engineers to realize data-driven projects;
•    Mentor junior Data Scientists, review work, and organize knowledge-sharing sessions to foster best practices.

Qualifications

  • Academic degree in Computer Science, IT, Engineering, Mathematics, or related field;
  • > 4 years of experience as a Data Scientist;
  • Reliable team player with structured self-organized workstyle;
  • Strong programming skills in Python and SQL;
  • Expertise in machine learning and AI (supervised, unsupervised, deep learning, time-series);
  • Proficiency in cloud and big data platforms;
  • Advanced skills in exploratory data analysis and dashboarding;
  • Hands-on experience with data engineering tools (e.g., Airflow);
  • Solid understanding of MLOps and model deployment practices;
  • Experience with Agile project management methods (Scrum, Kanban);
  • Fluent English language skills (written and spoken).

Additional Information

Our offer:

  • Integration in a challenging and international work environment;
  • Flexible working model;
  • Agile and collaborative working style;
  • Continuous opportunities for the promotion of talent and training.

Ready to drive with Continental? Take the first step and fill in the online application.

Skills Required

  • Academic degree in Computer Science, IT, Engineering, Mathematics, or a related field
  • More than 4 years of experience as a Data Scientist
  • Strong programming skills in Python and SQL
  • Expertise in supervised learning, unsupervised learning, deep learning, and time-series modeling
  • Proficiency with cloud and big data platforms
  • Advanced exploratory data analysis and dashboarding skills
  • Hands-on experience with data engineering tools such as Airflow
  • Understanding of MLOps and model deployment practices
  • Experience with Agile project management methods, including Scrum and Kanban
  • Fluent written and spoken English
  • Reliable teamwork and structured, self-organized workstyle

Continental Compensation & Benefits Highlights

The following summarizes recurring compensation and benefits themes identified from responses generated by popular LLMs to common candidate questions about Continental and has not been reviewed or approved by Continental.

  • Healthcare Strength — Health plans are often described as comprehensive, with medical, dental, vision, and related programs (such as HSA/FSA) highlighted as strong components. Feedback suggests the quality of healthcare coverage is a meaningful part of overall compensation satisfaction.
  • Retirement Support — Retirement offerings, including 401(k) plans with company contributions, are viewed favorably and frequently mentioned alongside competitive base pay. These plans are seen as a reliable pillar of the total rewards package.
  • Leave & Time Off Breadth — Paid holidays, vacation/PTO, and other leave programs are presented as part of a broad benefits suite. The scope of time-off options contributes positively to perceived overall value.

Continental Insights

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The Company
HQ: Hannover
66,749 Employees
Year Founded: 1871

What We Do

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 2020, Continental generated sales of €37.7 billion and currently employs around 235,000 people in 58 countries and markets. In 2021, the company celebrates its 150th anniversary.

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