Data Scientist

vor 4 Wochen

Hamburg, Deutschland Mabanaft Vollzeit

Fuelling tomorrow – that is our vision. The mobility of the future needs innovative solutions. The mobility of the future needs people who can make things happen. The future of mobility needs: you.

Let’s shape the future of the energy industry together 

For our central Data & Analytics department at our location in Hamburg HafenCity we are looking for a

Data Scientist (Generative AI) (m/f/d)

Your benefits:

Work-life balance: 38.75 working hours per week with 30 days annual leave

Ability to work freely: flexible working hours and individual remote work arrangement

Suitable for families: subsidized vacation camps for children, nanny support, etc.

Security and provisions: accident insurance also covering private accidents; excellent employer's contribution to your company pension scheme. Lifetime Account with opportunities to save for sabbaticals or early retirement

Health: healthy, subsidized meals in our employee restaurant, access to the free gym with sports offers, online sports courses, support in the event of personal problems, and free use of the Headspace app

Learning & Development: we support you on your individual career path

Networking: networks within the company to spotlight all diversity aspects within the company, as well as participate in various company events

Other benefits: Profit participation, Christmas bonus, vacation allowance, travel allowance, etc

Your purpose:

Mabanaft is seeking a talented and driven Data Scientist (m/f/d) to join our Data & Analytics department – team Group Analytics & AI, which is a vital component within our Chief Technology Officer's (CTO) domain. The Data and Analytics department drives technical innovation and plays a pivotal role in shaping Mabanaft’s overarching data strategy. As part of this team, you will contribute to one of our key initiatives, Generative AI Chatbots, which serves as a pillar in driving operational excellence and customer satisfaction & growth across the company. In this role, you will maintain and enhance our chatbot solutions using cutting-edge technology, ensuring they align with our strategic objectives and deliver tangible value to our stakeholders.

Key Responsibilities:

Develop and maintain enterprise data generative AI Chatbot solutions to meet the evolving needs of Mabanaft

Collaborate with cross-functional teams to understand business requirements, design solutions, and implement improvements

Conduct data analysis and experimentation to refine chatbot performance and enhance user experience

Utilize Azure services and tools for data processing, LLM evaluation, and deployment

Stay updated with the latest advancements in AI, machine learning, and natural language processing techniques

Implement best practices for data management, model evaluation, and deployment processes

Provide technical guidance and support to Data Scientist of Business Analytics teams

Your skills:

Bachelor's degree or higher in Computer Science, Data Science, or a related field

The ideal candidate should have a minimum of 5 years of applied industry experience as a Data Scientist, demonstrating a proven track record in developing and maintaining AI-driven chatbot solutions ideally within RAG architecture

Strong proficiency in programming languages such as Python, along with experience with relevant libraries and frameworks (e.g., LangChain, TensorFlow, PyTorch)

Experience with Azure services, particularly in data processing, machine learning/AI, and cloud deployment, acquired through practical application in a production environment

Experience working in a collaborative Agile environment, using CICD and Git for development

Solid understanding of LLMs, natural language processing (NLP) techniques and algorithms

Excellent analytical and problem-solving skills, with the ability to translate business requirements into technical solutions

Strong communication and collaboration skills, with the ability to work effectively in a team environment

Ability to adapt to a fast-paced and dynamic work environment

Your Contact:

#Fuellingtomorrow

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