Python Data Analyst/Data Scientist

Sioux Group was founded in 1996 in the Netherlands. With over 1,400 engineers, Sioux supports or acts as the R&D partner of leading high-tech companies. We aim to add value to our clients by developing innovative and high-tech solutions that contribute to a smarter, safer, healthier, more enjoyable, and more sustainable society.

Sioux has been recognized as an employer of choice, including awards such as Best ICT Company to Work For and Great Place to Work. In addition to our strong presence in Europe, Sioux is rapidly expanding in Asia, with offices in Vietnam, China, Singapore, and India.

With a strong heritage and a diverse international team, Sioux is proud of our core values: Own it and make it happen, Grow and innovate together, and Surprise customers. If these values resonate with you, we would love to welcome you to our team.

• Define and implement meaningful KPIs in our Diagnostic Center

• Build and maintain analysis pipelines in Python for data ingestion, feature extraction, and statistical modeling

• Visualize KPIs and findings in monitoring dashboards (Grafana)

• Be part of a Kanban team delivering high-quality, maintainable software

• Gather machine statistics over time and detect performance trends like drift and degradation

• Produce evidence-based reports with prioritized improvement recommendations

• Collaborate with engineers to translate domain knowledge into testable hypotheses

• Hypothesize and statistically validate relationships between system variables and machine behavior

• Document methodologies to ensure reproducibility and knowledge sharing

• 5+ years in a data science or applied analytics role

• Proficient in Python for data analysis

• Affinity with hardware and physical systems is a strong plus

• Skilled at translating findings into clear engineering and management reports hypothesis-driven, and rigorous about distinguishing signal from noise

• Familiarity with Grafana is a plus

• Deep problem-solving and analytical thinking capabilities

• Effective communication skills for cross-functional collaboration with software, hardware, and systems teams

• High sense of ownership, accountability, and attention to detail

• Ability to make sound design decisions and justify them with clear reasoning