Junior Data Science (m/f/d)
PORTUGAL IT development
Job description
Create a better #TomorrowWithUs
At Siemens, we believe that technology with purpose has the potential to solve the greatest challenges of our time. With over 300 thousand of the world’s most brilliant minds and the power of a presence in more than 190 countries, we make a truly global impact.
At the Lisbon Tech Hub, we drive change in our businesses and services, from Portugal to the world, in areas such as Cybersecurity, Software Development and Testing, Big Data, Artificial Intelligence, Cloud, and many more.
With around a decade of history, the Lisbon Tech Hub is the home of the new technologists – Dream Builders, Impact Creators & Future Makers.
Are you one of them? Join us!
Your mission will be…
Are you passionate about AI and how it can change the world? Do you have hands-on experience building AI data pipelines and machine learning models in the cloud? Do you also have a business orientation and interpersonal skills ? As a Data Scientist with business acumen, you’ll be responsible for developing and implementing data science solutions in a fast paced and fun software company. The ideal candidate will have a strong understanding of both data science and business principles, and will be able to effectively connect the two worlds together to create value.
Responsibilities:
- Develop and implement data science products & solutions in a fast paced and action oriented environment
- Technical expertise developing solutions in cloud native data and AI tooling (GCP, Azure, AWS, OpenAI, LLMs, Python, R)
- 1+ years of experience in the industry as a ML practitioner or project lead or architect
- Can develop and test data science models
- Comfortable conducting customer workshops to map processes, ideate, and identify areas where machine learning and Generative AI can disrupt and improve the way we do things.
- Good command of statistical methods, data visualization, and analysis
- Work with stakeholders to understand their business needs and identify opportunities for AI solution & disruption
- Understand dimensional data modeling and data structures + SQL
- Interpret and communicate data science results to stakeholders
- Experience launching technically complex programs, projects, or related work that include the following: big data, analytics, artificial intelligence, and machine learning
- Lead project independently
We are looking for someone with…
- Master’s or Bachelors degree in data science, industrial engineering, statistics, computer science, or a related field
- 1-3 years of experience in data science or a related field
- Strong understanding of data science principles and techniques
- Excellent communication and presentation skills
- Ability to work independently and as part of a team
- Strong business acumen
- You have a bias towards action and a startup mentality.
- Experience in digitalization project management desirable within an international environment
- You are curious and can’t wait to use data to test and validate your hypothesis
- You are an active and good listener
- Fluent in English
What you can expect from us…
A hybrid and flexible working model to promote a better work-life balance, along with a budget for home office support and the opportunity to do 16 hours a year of volunteer work. A health insurance, access to our on-site medical center, and the chance to join sports groups.
In addition, you'll have access to online learning platforms and discounts with our partners. A shuttle bus to commute to the facilities and the possibility of financial support to your studies.
What makes us proud as an employer:
- Top Companies to work in Portugal 2023 (by LinkedIn)
- World's Best Employer 2023 - 1st place in the Engineering and Production category (by Forbes)
- Most attractive company to work in 2023 - 6th place (ranking of Universum)
- Company with the best reputation in the Technological/Industrial sector in Portugal 2023 (according to the Merco Empresas study)
Please attach your CV in English.
#Siemens #LXTechHub #TomorrowWithUs
Siemens is committed to creating a diverse environment and is glad to be an equal opportunity employer. We strongly encourage applications from a diverse talent pool!