Asks for

The ad says“Experience working with public cloud platforms, especially AWS, and according to technologies and services is a plus (e.g. AWS SageMaker, AWS Glue, Apache Spark, AWS Athena).”
The ad says“Experience working with public cloud platforms, especially AWS, and according to technologies and services is a plus (e.g. AWS SageMaker, AWS Glue, Apache Spark, AWS Athena).”
The ad says“Experience working with public cloud platforms, especially AWS, and according to technologies and services is a plus (e.g. AWS SageMaker, AWS Glue, Apache Spark, AWS Athena).”
The ad says“Experience working with public cloud platforms, especially AWS, and according to technologies and services is a plus (e.g. AWS SageMaker, AWS Glue, Apache Spark, AWS Athena).”
The ad says“Experience working with public cloud platforms, especially AWS, and according to technologies and services is a plus (e.g. AWS SageMaker, AWS Glue, Apache Spark, AWS Athena).”
The ad says“Adopt DevOps and MLOps best practices, including Continuous Integration/Continuous Deployment (CI/CD) pipelines for building, testing, deploying, and operating reliable machine learning solutions.”
The ad says“Have excellent English oral and written skills. German communication skills will be a plus.”
The ad says“Strong expertise in Feature Engineering and predictive modelling, building scalable solutions for real-world business challenges.”
The ad says“At least 3 years of experience in technical software engineering, good scripting, and programming skills with at least one programming language (Python, Scala) and proficiency with data science libraries (e.g. Pandas, Numpy, matplotlib, seaborn, sklearn).”
The ad says“Solid understanding of MLOps practices, including model lifecycle management, deployment, monitoring, and continuous improvement.”
The ad says“At least 3 years of experience in technical software engineering, good scripting, and programming skills with at least one programming language (Python, Scala) and proficiency with data science libraries (e.g. Pandas, Numpy, matplotlib, seaborn, sklearn).”
The ad says“At least 3 years of experience in technical software engineering, good scripting, and programming skills with at least one programming language (Python, Scala) and proficiency with data science libraries (e.g. Pandas, Numpy, matplotlib, seaborn, sklearn).”
The ad says“Strong expertise in Feature Engineering and predictive modelling, building scalable solutions for real-world business challenges.”
The ad says“At least 3 years of experience in technical software engineering, good scripting, and programming skills with at least one programming language (Python, Scala) and proficiency with data science libraries (e.g. Pandas, Numpy, matplotlib, seaborn, sklearn).”
The ad says“At least 3 years of experience in technical software engineering, good scripting, and programming skills with at least one programming language (Python, Scala) and proficiency with data science libraries (e.g. Pandas, Numpy, matplotlib, seaborn, sklearn).”
The ad says“Hands-on experience with machine learning frameworks and libraries (e.g. Scikit-Learn, XGBoost or similar gradient boosting frameworks, Pandas, NumPy).”
The ad says“Embrace agile practices, especially Scrum, leveraging its events to foster a high-performing team.”
The ad says“At least 3 years of experience in technical software engineering, good scripting, and programming skills with at least one programming language (Python, Scala) and proficiency with data science libraries (e.g. Pandas, Numpy, matplotlib, seaborn, sklearn).”
The ad says“At least 3 years of experience in technical software engineering, good scripting, and programming skills with at least one programming language (Python, Scala) and proficiency with data science libraries (e.g. Pandas, Numpy, matplotlib, seaborn, sklearn).”
The ad says“Experience with data querying languages (e.g. SQL).”
The ad says“Hands-on experience with machine learning frameworks and libraries (e.g. Scikit-Learn, XGBoost or similar gradient boosting frameworks, Pandas, NumPy).”

We’re looking for bright Data Science Masterminds to join our team

At Critical TechWorks, our Data Scientists play a pivotal role in steering the future of mobility. With a blend of technology, creativity, and analytical prowess, you will be instrumental in unlocking insights from vast data, driving innovation in areas across the whole universe of the automotive industry. If you are passionate about harnessing data to shape the future of automotive experiences, this is where your journey begins.

Machine Learning Solution Development: Design and develop machine learning solutions, enhancing the capabilities and intelligence of BMW's systems.
Feature Engineering and Data Processing: Build and optimize feature engineering pipelines, transforming raw data into high-quality inputs for predictive models.
Model Training, Validation and Optimization: Train, evaluate, and improve machine learning models using modern techniques and frameworks, ensuring robust performance and accuracy.
Experimentation and Model Improvement: Lead experimentation, model validation, and performance optimization initiatives, driving continuous improvement of machine learning solutions
Collaborative Solution Design: Work closely with cross-functional teams, including engineers and product visionaries, to design machine learning solutions that align with strategic objectives.

Whatever you’re working on, here’s the lowdown on the technical skills you’re likely to have:

At least 3 years of experience in technical software engineering, good scripting, and programming skills with at least one programming language (Python, Scala) and proficiency with data science libraries (e.g. Pandas, Numpy, matplotlib, seaborn, sklearn).
Strong expertise in Feature Engineering and predictive modelling, building scalable solutions for real-world business challenges.
Hands-on experience with machine learning frameworks and libraries (e.g. Scikit-Learn, XGBoost or similar gradient boosting frameworks, Pandas, NumPy).
Experience with data querying languages (e.g. SQL).
Experience working with public cloud platforms, especially AWS, and according to technologies and services is a plus (e.g. AWS SageMaker, AWS Glue, Apache Spark, AWS Athena).
Expertise with Feature Engineering, predictive modelling, machine learning experimentation, and model optimization.
Solid understanding of MLOps practices, including model lifecycle management, deployment, monitoring, and continuous improvement.
Experience deploying and operating machine learning solutions in production environments is a big plus.
Experience in automotive data processing, machine learning, or predictive analytics is a big plus.

CTW's Daily Toolkit

Apart from strong technical skills, our fast-paced, fully agile environment values autonomy, teamwork, interaction, and resilience. Therefore, our Data Science Masterminds should:

Embrace agile practices, especially Scrum, leveraging its events to foster a high-performing team.
Be cross-functional, developing new skills to enable a team that owns the entire product lifecycle.
Apply standard engineering practices using tools like version control, IDEs, and dashboards for organized development.
Adopt DevOps and MLOps best practices, including Continuous Integration/Continuous Deployment (CI/CD) pipelines for building, testing, deploying, and operating reliable machine learning solutions.
Operate software post-deployment, including outside working hours if needed (extra compensation applies).
Travel abroad occasionally to support all phases of product development.
Have excellent English oral and written skills. German communication skills will be a plus.
We value diversity and encourage applications from individuals with varied backgrounds and experiences. For this position, candidates must already have the legal right to work in Portugal at the time of application.

Who we are

Critical TechWorks seeks a distinct and treasured corporate culture, that is very much our own. This means:

Growth and Innovation: Be a key player in shaping the future of mobility through innovative ideas.
Engineering Excellence: Immerse yourself in an environment valuing engineering process, where we create, innovate, lead, and make a tangible impact.
Autonomy and Collaboration: Thrive in a culture that blends autonomy with teamwork, contributing to groundbreaking developments.
Continuous Learning: Embrace constant skill enhancement in a dynamic workplace, where your contributions impact cutting-edge technology projects.

Join Critical TechWorks on our journey of innovation, excellence, and redefining the future of motion, one product at a time.

Ready to see what your recruitment journey looks like? Discover it here.

Notice: Apply to only one job; our Talent Team will analyze your profile and consider you for all relevant positions.

At Critical Techworks we are creating an inclusive culture that values our people’s different viewpoints and experiences, regardless of sexual orientation, gender identity, age, color, ethnicity, religion, or disability.

Our recruitment process is flexible and accessible to ensure fairness. If you need any adjustments to showcase your skills, let us know during your application. We’ll support you with care and confidentiality.