Data Scientist

Das ist der Job

We look forward to hearing from you. /p /p #J-18808-Ljbffr

Darum lohnt es sich

Your mission is to establish a unified data architecture that delivers clean, highly structured, and reliable data streams for downstream business intelligence, advanced analytics, and AI initiatives. /p pStrategic Scope: Formulates, trains, validates, and deploys scalable statistical analysis models, machine learning systems, and artificial intelligence pipelines to extract actionable predictive trends and enable smart automation systems. /p h3Core Responsibilities /h3 ul liProblem Translation: Translate high-level operational and business challenges into precise exploratory data science tasks, mathematical formulations, and algorithmic solution blueprints. /li liModel Engineering Loop: Perform structured feature engineering, sample selection, model training, hyperparameter optimization, and statistical validation across diverse algorithm classes. /li liProduction Microservice Packaging: Wrap validated machine learning pipelines into secure, containerized software microservices exposed via reliable application programming interfaces. /li liGovernance Tracking: Establish model monitoring configurations to track feature drift, analyze concept decay, measure latency drops, and enforce model explainability metrics. /li liExploratory Reporting: Construct high-impact interactive visualization layers and analytics reports to deliver complex statistical insights to business stakeholders. /li /ul h3Required Skills Experience /h3 ul liMinimum 5+ years of hands‑on experience in data science, machine learning, statistical modelling, or applied AI solution development. /li liStrong ability to translate business and operational challenges into clear data science problems, mathematical formulations, analytical hypotheses and algorithmic solution approaches. /li liHands‑on experience with feature engineering, data preparation, sample selection, model training, hyperparameter optimisation and statistical model validation. /li liStrong knowledge of machine learning algorithms, including supervised learning, unsupervised learning, classification, regression, clustering, anomaly detection and predictive modelling techniques. /li liExperience building and validating machine learning pipelines using Python‑based data science libraries such as Pandas, NumPy, scikit‑learn, PySpark, TensorFlow, PyTorch or comparable frameworks. /li liAbility to package validated machine learning models into production‑ready services using APIs, containers, Docker and microservice‑based deployment patterns. /li liGood understanding of model governance, including model monitoring, feature drift, concept drift, latency tracking, explainability metrics and performance degradation analysis. /li liExperience creating interactive dashboards, visual analytics and business‑facing reports using tools such as Power BI, Tableau, Plotly, Dash or comparable visualisation platforms. /li liGood understanding of secure data handling, data quality, model lifecycle management, documentation and software development lifecycle practices. /li liAbility to communicate complex statistical and machine learning insights clearly to business stakeholders, technical teams and decision-makers. /li liAbility to work independently as well as part of a distributed project team, collaborating with data engineers, software developers, architects, analysts and business stakeholders. /li libLanguages: /b Flawless bilingual/native-level business German communications proficiency (C1/C2 level written and spoken) is required.

The candidate must present seamlessly in German during the technical panel interview (Anbieterfachgespräch). /li libSwiss Compliance: /b Must hold EU/EFTA nationality or possess an active, valid Swiss permanent residency/work card (C Permit or unrestricted B/G Permit). /li /ul h3Benefits /h3 ul liOpportunity to work on challenging projects and contribute to the growth of our company. /li liCollaborative and dynamic work environment. /li liProfessional development and growth opportunities. /li liCompetitive salary and benefits package. /li /ul h3Recruitment Process – AI Screening with TARA /h3 ul liAs part of our recruitment process, candidates may be invited to complete an initial AI‑powered screening with TARA, the ALLPS.AI interview agent. /li liTARA helps us make the hiring process faster, fairer, and more consistent by asking structured, role‑relevant questions based on the job requirements.

Your responses will be reviewed as part of the overall selection process, together with your CV, application details, and any follow‑up interviews with the hiring team. /li /ul h3Candidate Experience /h3 ul liWe use AI to support the recruitment process, but final hiring decisions are made by people. ppbLocation: /b Basel, Switzerland /p pbContract Duration: /b 3 years, with possible extension /p pbExperience Required: /b 3+ years. /p pbIndustry Experience: /b Utilities Energy (Energie Wasserversorgung) or Telecommunications or Banking Financial Services or Information Technology Services /p h3Role Overview /h3 pWe are looking for an experienced Data Scientist to support a long-term enterprise project in Basel.

This is a 3-year contract role with the possibility of extension. /p pWe are seeking a senior-tier Data Engineer to design, build, and optimize our enterprise-wide data platform. In this role, you will be responsible for breaking down operational data silos and constructing scalable, low-latency ETL/ELT pipelines.

The interview is designed to understand your experience, skills, motivation, and suitability for the role. /li /ul h3The AI Screening Interview May Include /h3 ul liQuestions about your professional background and relevant experience. /li liRole‑specific technical or functional questions. /li liQuestions about your motivation, availability, and communication skills. /li liThe interview can usually be completed online in 15‑20 minutes at a convenient time.

Human recruiters and hiring managers remain involved in reviewing candidates and making selection decisions. /li liWe are committed to a transparent, respectful, and fair candidate experience.

Your data will be handled confidentially and in accordance with applicable data protection requirements. /li /ul pIf you are a motivated and experienced Data Scientist looking for a new challenge, please submit your application, including your resume and a cover letter, to our website.