Data Scientist (GenAI focus)
Posted bythe hiring team· 2 days ago
- Location
Posted bythe hiring team· 2 days ago
Data Scientist (GenAI focus)
USD 49,518 – USD 66,023
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About this role
What we achieve together
In this role, you will translate business requirements into analytical use cases (generative AI and machine learning) and drive innovation and efficiency across the Vaillant Group.
You will effectively analyze business use cases regarding feasibility and effort estimation based on the Vaillant data model, including data quality and necessary preprocessing steps.
You will apply state-of-the-art machine learning and AI techniques and advanced statistical methods to achieve company goals.
In addition, you will critically evaluate ML/AI solutions and analyses using metrics to validate the achievement of business objectives and recommend improvements.
You will communicate results with cross-functional project members and stakeholders, using clear presentations and understandable visualizations of insights.
Finally, you will utilize cloud services and self-programmed (Python) applications to develop production-ready AI/ML solutions.
What makes us successful together
Qualification: You have a Master’s degree in Computer Science, Mathematics, Physics, Bioinformatics, or other quantitative fields with AI/ML relation.
Experience: You bring more than 4 years of professional experience in the field of Data Science/Data Analytics with a proven track record in Data Science projects.
Know-how and skills: You have excellent programming skills (in Python); visualization of complex data; experience with cloud services and Data Science-related components (especially in Microsoft Azure).
Nice to have: You have experience with Generative AI (GenAI) or AI agents would be a plus.
Personality: You are a team player, curious, with initiative and motivation to work in an agile and interdisciplinary environment.
Language skills: You are fluent in English; German language skills would be a plus.
What you can count on
Flexible work model: adjustable starting times (7:30 – 9:00AM), hybrid work 70/30, and up to 30 days of remote work from abroad from selected countries.
Health & Wellness support: private medical care (Medicover), sports card subsidy (Multisport), group insurance (Warta), and ergonomic office spaces.
Time off & balance: additional paid 2 days off and subsidies for recreation.
Financial perks: up to 30% discount on company products, support for commuting and eyewear.
Growth & Development: access to internal training, mentoring programs, self-learning platform for languages (eTutor) and international projects.
Culture & Community: company events, family friendly activities, and open opportunities within Vaillant Group.
What makes us special
We take care of a better climate. In every home and our environment. As a successful family business, we have been living up to this claim for over 150 years. We are one of the world's leading providers of heat pumps, digital services and efficient gas heating appliances and offer energy-saving solutions.
You will find sustainability everywhere at the Vaillant Group. In the office, at the production sites and on the road. Around 16,000 employees from over 70 countries are committed to this every day. As an international team, we take responsibility - for our future and that of our planet. We promote your personal development so that you can act with passion and together we can ensure a better climate.
Become part of the Vaillant Group and help us shape the future of heating!
We promote equity and do not tolerate any form of discrimination. We value the uniqueness of each individual and encourage all people to apply.
The Data Scientist (GenAI focus) role with the hiring team offers USD 49,518–66,023 per year. Salary information is published as part of every JobRemotely listing so candidates can self-screen before applying.
Yes — the hiring team has marked this Data Scientist (GenAI focus) role as open to candidates based in Poland. Eligibility requirements are surfaced in the JobPosting structured data on the listing.
The hiring team uses the JobRemotely structured hiring pipeline: candidates apply through the listing, complete a paid test task or screening, and only then proceed to interviews. This skips the resume black hole and respects everyone's time.
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