Senior Data Scientist (Braga)

Company Description

Welcome to Bosch

Cars drive autonomously, machines communicate with each other, and homes are becoming smarter. At Bosch, we turn these concepts into reality to improve the quality of life for people worldwide. Start something big and become a part of a progressive community where you can create something exceptional: Invented for life.

With over 300 specialized associates and around 15 nationalities, Bosch's activities in Lisbon are focused on sales, marketing, communication, training, nearshoring services and shared support for human resources services for Europe. The diversity, commitment, and expertise of the team are the key success factors of this organization.

Bosch Service Solutions develop and offer Customer Experience, Mobility, and Monitoring solutions for companies and their customers. Our teams provide quick and efficient solutions for thousands of people daily – from claim management to life-saving emergency calls, among other services. Set the standards and become a leader, alongside around 9000 associates worldwide.

Job Description

Bosch is home to one of the leading industrial competency centers for innovative and applied AI. Our global teams develop and launch AI solutions across Bosch products and services that are "invented for life".

Job Description

• As a senior data scientist, you will translate business needs into technical solutions and develop sophisticated ML/DL models for the analysis of vastly diverse data. Your work will have a direct impact on new and exciting AI solutions that will transform Bosch's products and processes.
• You will construct and sustain state-of-the-art Machine Learning/Deep Learning models in joint product teams with Software Engineers, Data Engineers, and MLOps experts. You will review code written by others, provide constructive feedback, and learn from more experienced Data Scientists in return. You will be responsible for the modeling process from raw data to deployment-ready models, driving innovative topics within our teams, thus bridging the gap between ML and DL research and product application.
• Additionally, you will collaborate with domain experts and engineering teams. You will share knowledge by clearly conveying results and ideas through presentations and reports to customers, teammates, and key stakeholders. You enjoy continuously developing your skills and helping your colleagues enhance theirs. You take pride in authoring and delivering high-quality code. Several business trips to Bosch locations per year are expected. Furthermore, we encourage and support you to stay current with the latest research and technology trends, e.g., through conference participation.

Qualifications

• Outstanding degree (PhD or Master) in computer science, mathematics, physics, or a related field with a strong background in machine learning (ML) / deep learning (DL)
• A Master with 3+ years of industry experience as a Data Scientist or a PhD in a machine learning related field with 1+ years of industry experience; proven expertise in building ML models for challenging real-world data sets; excellent communication and writing skills.
• ML Knowledge: Demonstrated expertise in one or more of the following fields: Neural networks / deep learning, time series analysis, generalized linear models, tree-based models, statistics, explainability methods, clustering, and anomaly detection. Demonstrated experience working with ML/DL frameworks (e.g., PyTorch, scikit-learn). Publications in major conferences or journals are highly appreciated. Experience with and knowledge of foundation models and synthetic data generation (generative models) is a big plus.
• Proficient in Python (especially in using libraries such as Pandas, Numpy, SciPy, statsmodels); familiarity with other programming languages and technologies relevant for Data Science, e.g., MLflow, SQL, Spark, Dask, C/C++, is highly appreciated. You are comfortable with using the Linux command line. Hands-on experience with GPU clusters as well as Azure Cloud or other cloud technologies is a great advantage.
• Fluent in English (written and spoken).
• Independent, driven, goal-oriented and proactive, eager to learn new technologies and share knowledge, a team player with robust analytical and problem-solving skills.
• Preferably living near Braga.

Additional Information

What we offer you:

Challenges in an international environment | career opportunities in one of the best companies in the world | flexible working hours | medical services | employee discounts | sports and health-related activities | cafeteria | good access to public transport | creative space.

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