Data Scientist - iTech4Life Project (M/F)

Company:
Location: Aveiro

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Company Description


Welcome to Bosch

Cars drive autonomously, machines speak to each other, and houses become smarter. At Bosch, we turn these visions into reality to improve the quality of life for people all over the world. Start something big and become a part of forward thinkers where you can create something remarkable: Invented for life.

The Bosch unit in Aveiro belongs to the Thermotechnology division and manages the global business unit of residential water. About 1,300 associates are responsible for the development, production and marketing of innovative solutions that make homes smarter, more efficient and environment friendly. The company' success lies in its highly specialized and innovative team, and on the technological know-how which makes Bosch the leader in the water heaters market in Europe.

Bosch is on the way to becoming one of the leading companies worldwide in the field of the Internet of Things (IoT). In the Research and Development Center of Bosch Thermotechnology in Aveiro, more than 200 engineers contribute to making homes and cities more intelligent and efficient by developing solutions for Bosch business units and divisions around the globe. From hardware to software, we have all kinds of opportunities waiting for you.


Job Description


Your contribution to something big:

  • Conduct in-depth EDA's together with domain experts in order to enhance internal product development, product optimization, among other objectives;
  • Analyze collected data, mostly timeseries. Propose new data-driven services or enhance existing services for B2B and B2C in the area of HVAC appliances/energy monitoring;
  • Translate business questions and use cases into concrete DS/ML problems and propose appropriate metrics/KPIs accordingly;
  • Design and implement tools, backend services, dashboards and reports to support multiple business needs;
  • Contribute to the definition of DS/ML processes and practices in the company;
  • Communication of results in a concise, clear and assertive manner, through multiple media (e.g. presentation, reports, dashboards and visualizations);
  • Collaborate with different teams and areas in order to identify opportunities and improve the current data strategy and infrastructure.

Qualifications


What distinguishes you:

  • Degree in Informatics/Computer Engineering/Data Science/Statistics or similar;
  • At least 2 years of working experience with quantitative analytics or data modelling;
  • Practical knowledge of predictive modelling, machine-learning, clustering and classification techniques, and algorithms;
  • Practical knowledge of programming languages such as Python, Java, and/or R;
  • Practical knowledge of common DS/ML/DE frameworks (e.g., Numpy, Pandas, Dask, Tensorflow, Scikit, Airflow);
  • Knowledge of cloud tools and environments used in DS/ML e.g., in Azure (Azure ML Studio, Azure Data Factory, Azure Functions, Azure Storage);
  • Knowledge of SQL and non-SQL databases concepts;
  • Good communication skills;
  • Strong analytical and problem-solving skills;
  • Knowledge of data processing (real-time/batch) (e.g., Spark, Databricks), ML technologies/frameworks, MLOps (Airflow or similar) is a plus;
  • Knowledge of microservices concepts, Docker and Kubernetes is a plus;
  • Awareness of CI/CD environments and tools (e.g. Jenkins), software quality tools (e.g. Sonarqube) and SWE best practices (Version Control, Code Reviews, Pull Request) is a plus;
  • Familiarity with AGILE development methodologies;
  • Fluent in Portuguese and English.

Additional Information


What we offer you:

Challenges in an international environment | career opportunities in one of the best companies in the world | flexible hours | medical services | discounts for employees | sports and health related activities | canteen | free parking | space for creativity


Success stories don´t just happen. They are made...

Make it happen! We are looking forward to your application!

*** Mention DataYoshi when applying ***

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