Data Scientist (AI & ML)

Das ist der Job

This role partners closely with cross-functional stakeholders to transform data into actionable insights.

Darum lohnt es sich

Key Responsibilities Data Collection & Preparation Ingest, clean, and preprocess large structured and unstructured datasets from multiple sources Perform exploratory data analysis (EDA) to identify trends, patterns, and data quality issues Develop and maintain robust ETL pipelines for efficient data transformation Architect, train, and deploy supervised, unsupervised, and deep learning models (classification, regression, clustering) Optimize model performance (accuracy, latency, scalability) using advanced frameworks (TensorFlow, PyTorch, Scikitlearn) Automate model retraining and monitoring workflows in production environments Algorithm Engineering Design and refine algorithms for large-scale data processing and real-time inference Implement best practices for model interpretability, fairness, and reliability Software Engineering & Integration Write clean, modular Python code following industry standards (Pandas, NumPy, SciPy) Integrate models into existing software platforms and cloud infrastructure (AWS, GCP, Azure) Maintain version control (Git) and CI/CD pipelines for reproducible deployments Evaluation & Validation Define and track key performance metrics (accuracy, precision, recall, F1) Conduct rigorous cross-validation, A/B testing, and stress testing to ensure robustness Translate business requirements into technical specifications and actionable analytics solutions Present complex findings clearly to technical and non-technical stakeholders Document methodologies, code, and model decisions for transparency and audibility Required Qualifications 4+ years in a Data Scientist or Machine Learning Engineer role Mastery of Python and core libraries (Pandas, NumPy, Scikitlearn) Hands-on experience with deep learning frameworks (TensorFlow or PyTorch) Solid understanding of statistical modeling, feature engineering, and model evaluation Proficiency with data visualization tools (Matplotlib, Seaborn, Plotly) Experience deploying models on cloud platforms (AWS, GCP, or Azure) Bachelors or Masters degree in Computer Science, Data Science, Mathematics, or related field Preferred Skills Expertise in Natural Language Processing (NLP) or Computer Vision Familiarity with big data technologies (Spark, Hadoop) Knowledge of containerization (Docker/Kubernetes) Experience working in Agile/Scrum environments Strong written and verbal communication skills What We Offer Opportunity to influence high-impact data initiatives Collaborative, crossdisciplinary work environment Professional development and certification support Flexible work arrangements and competitive benefits package #J-18808-Ljbffr Overview A leading financial services organization is seeking an experienced Data Scientist with deep expertise in AI, machine learning, and Python development.

You design, build, and deploy scalable data-driven models that solve complex business challenges and drive strategic decision-making.