Senior Data Scientist – 12997

Publiceringsdatum: 2025-09-11

Söker du efter ett jobb inom data/it-sektorn? Veritaz AB söker just nu efter en projektledare, it och du kan vara den de letar efter. Sök nu om du är intresserad av att arbeta heltid hos Veritaz AB under 6 månader eller längre. De letar just nu efter nya medarbetare.

Platsen där jobbet finns ledigt är i ospecificerad arbetsort. Om du tycker att det låter intressant att börja jobba hos Veritaz AB i rollen som projektledare, it så har de just nu en ledig tjänst som skulle kunna vara en perfekt match för dig! Sista ansökningsdagen till jobbet som projektledare, it hos Veritaz AB är lördag den elfte oktober 2025.

Jobbannons

Veritaz is a leading IT staffing solutions provider in Sweden, committed to advancing individual careers and aiding employers in securing the perfect talent fit. With a proven track record of successful partnerships with top companies, we have rapidly grown our presence in the USA, Europe, and Sweden as a dependable and trusted resource within the IT industry.

Assignment Description

We are looking for a Senior Data Scientist to join our dynamic team.

What you will work on

• Design, develop, and optimize scalable AI/ML solutions on Google Cloud Platform (GCP), leveraging tools such as Vertex AI, BigQuery, Dataflow, Cloud Functions, and Cloud Run.
• Build, debug, and maintain machine learning pipelines in Python.
• Set up and manage efficient development environments (e.g., Jupyter Notebooks) to support experimentation and model development.
• Apply best practices in Responsible AI, including model monitoring, governance, fairness, and explainability.
• Collaborate with cross-functional teams, sharing knowledge and guiding architecture choices for scalable AI setups.
• Contribute to visualization, reporting, and knowledge transfer to ensure alignment with business and technical goals.

What you bring

• Proven experience with Google Cloud Platform and its AI/ML ecosystem (Vertex AI, BigQuery, Dataflow, Cloud Functions, Cloud Run).
• Strong Python programming skills with hands-on experience in ML pipeline development.
• Deep practical knowledge of:
• ML frameworks: scikit-learn, TensorFlow, PyTorch, Keras
• LLMs & Generative AI: Gemini, LangChain, Hugging Face
• Data processing & visualization: Pandas, NumPy, Matplotlib, Seaborn
• Version control & collaboration: Git, GitHub/GitLab, CI/CD workflows
• Excellent communication skills with the ability to explain complex technical concepts clearly.
• Strong analytical and problem-solving skills with the ability to work independently.
• Team-oriented mindset: proactive, supportive, and ownership-driven.

Nice to have

• Experience with MLOps principles and tools.
• Familiarity with Microsoft Power Platform.
• Exposure to DevOps practices and infrastructure-as-code.