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Agent guide: [/agents.md](https://www.wearedevelopers.com/agents.md). --- # Data Scientist - **Company:** DREI, INC. - **Location:** United States (Remote available) - **Contract:** Permanent contract - **Skills:** Unity 3d, Geographic Information Systems, Artificial Intelligence, Data Analysis, Microsoft Azure, Business Intelligence Development, Big Data, Network Analysis, Cloud Engineering, Cluster Analysis, Cyber Security, Data Governance, Data Warehousing, Monitoring of Systems, Python (Programming Language), Machine Learning, Power BI, Tensorflow, Standard Sql, Tableau (Software), Unstructured Data, Feature Engineering, Pytorch, Large Language Models, Apache Spark, Deep Learning, Containerization, Data Lakes, AI Platforms, Pyspark, Data Analytics, Xgboost, Data Management, Machine Learning Operations, Terraform, Databricks - **Published:** July 14, 2026 - **Apply:** https://arc.dev/remote-jobs/j/redirect/p491fxeuyv ## About the Role * Several years of practical experience in Data Science, Machine Learning or Applied Statistics. * Strong Python and SQL skills and experience working with large datasets. * Solid knowledge of statistical modelling and machine-learning methods, e.g. regression, classification, clustering, gradient boosting, random forests, XGBoost, time-series modelling or anomaly detection. * Experience with the full Data Science lifecycle: exploratory data analysis, feature engineering, model training, hyperparameter tuning, validation, interpretation and communication of results. * Experience deploying or operationalizing ML models, ideally in production or near-production environments. * Familiarity with PySpark, Spark-based processing or Big Data environments. * Interest in modern cloud-native Data & AI platforms - ideally Azure Databricks, Delta Lake, MLflow, Unity Catalog, Terraform or comparable technologies. * Interest or experience in GenAI, LLMs, AI Agents, NLP, embeddings, RAG patterns or AI-assisted development. * Ability to explain complex analytical and technical topics clearly to technical and non-technical stakeholders. * A structured, independent and solution-oriented working style. * Strong team spirit and openness to working in an agile setup. * Excellent English skills; German is an advantage. Nice to have: * Experience with Databricks, Azure, MLflow, Delta Lake, Unity Catalog or cloud-native MLOps. * Experience with geospatial analytics, location data, coordinates, grids or network-related analytics. * Experience with deep learning frameworks such as PyTorch or TensorFlow. * Knowledge of responsible AI, data governance, model monitoring or AI compliance topics. * Experience with visualization and storytelling tools such as Power BI, Tableau or similar. * Experience in telecommunications, customer analytics, network analytics or large-scale enterprise data environments. ## Description * Develop and improve machine-learning and statistical models for real business challenges, including classification, forecasting, anomaly detection, clustering, predictive analytics and optimization. * Work with large, complex, structured and unstructured datasets from different source systems. * Support the development of end-to-end ML and AI use cases - from data exploration and feature engineering to model training, validation, deployment and monitoring. * Bring a Data Science perspective into our Databricks implementation and help establish scalable ways of working for ML and AI on a modern cloud data platform. * Collaborate closely with Data Engineers, DWH Developers, BI Developers, Architects, Product Owners, Operation Teams and business departments. * Translate complex analytical results into clear recommendations, visualizations and business-relevant insights. * Help identify new ML, AI and GenAI use cases and evaluate where modern tools can reduce time-to-market. * Contribute to best practices around MLOps, model lifecycle management, reproducibility, governance and responsible AI. * Work in an agile team that values ownership, curiosity, pragmatic problem solving and continuous learning., * Work on complex and meaningful use cases: You will work with large-scale telco data and analytical challenges that go beyond standard reporting. * Shape a new Data & AI platform: Drei is introducing a modern Databricks-based analytics platform, creating new possibilities for Data Science, ML and AI. * Create visible impact: Your work can influence business decisions, customer experience, network insights and the future of data-driven work at Drei. * Move models closer to production: You will help us bridge the gap between experimentation and scalable, governed implementation. * Use modern tools: You will work with cloud-native technologies, Big Data tooling, MLOps concepts and emerging AI capabilities. * Collaborate across domains: You will work together with experts from Big Data, DWH, BI, architecture, IT security, governance and business departments. * Keep learning: The role offers room to grow into new technologies, platform capabilities and AI use cases. * ## Related Videos - [Data Science in Retail](https://www.wearedevelopers.com/videos/586-data-science-in-retail) - [TikTok's Privacy Innovation](https://www.wearedevelopers.com/videos/1036-tiktok-s-privacy-innovation) - [PySpark - Combining Machine Learning & Big Data](https://www.wearedevelopers.com/videos/44-pyspark-combining-machine-learning-big-data) - [Photonic Computing: Programming a New Class of AI Accelerators (incl. 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