... inference concepts, experimentation design), selecting appropriate methods for complex data science problems. - Write efficient, modular, well‑tested code for data processing, feature engineering, and model training/inference, leveraging distributed tooling (e.g., Vertex AI pipelines, Dataflow, BigQuery) where appropriate. ...
... wykorzystaniem gotowych, jak i własnych konektorów Bardzo dobra znajomość Javy oraz frameworka Spring, w szczególności Spring Boot, Spring Cloud, Spring Security i Spring Data Doświadczenie w projektowaniu schematów dokumentowych, indeksowaniu oraz optymalizacji zapytań w bazach NoSQL, w szczególności MongoDB Doświadczenie w implementacji ...
... for a Data Scientist or Data Analyst to join an international project focused on Strategic Revenue Management (SRM) solutions. The project focuses on pricing data analysis and the development of tools to support pricing decisions in the retail industry. Responsibilities Analyzing pricing data and supporting Strategic Revenue ...
... cloud-native patternsBuild and optimize ETL/ELT workflows to support analytical and operational use casesImplement data modeling strategies aligned with modern data lakehouse architecturesEnsure data quality, governance, and monitoring across all data assetsDeliver secure, scalable, and highly available data solutions following ...
... and want a Senior Full-stack Developer to build reliable Python/FastAPI APIs and React/TypeScript experiences. You will work with PostgreSQL, OpenSearch, and Databricks, focusing on integrations and performance. Apply now. Responsibilities Deliver and maintain web applications built with Python/FastAPI and SQLPlan and design ...
We are looking for a Senior Program Manager to join our CEE_WE Data Practice and play a pivotal role in shaping how we deliver data and AI solutions across the region. You will sit at the intersection of delivery, strategy, and client engagement — driving program governance, ensuring cross-functional alignment, and accelerating ...
... data engineering and data modelingPalantir Foundry expertise with hands-on development experienceProficiency in PySpark and Python programmingExperience with data connection for APIs and external transformsKnowledge of data quality principles and ontology designProficiency in English at a B2+ level Nice to have Experience ...
... Responsibilities: - Create and maintain data quality rules focused on data completeness and accuracy. - Support the implementation of standard and customized data quality validations for new accounts. - Work with business stakeholders and operational teams to understand data quality requirements and resolve identified issues. ...
... problem framing, data preparation, model development, evaluation and basic deployment support (e.g. demand forecasting, churn prediction). - Explore and clean data; perform EDA to understand data and flag data quality issues. - Engineer features for tabular and time-series data. - Train, validate, and tune standard ML models ...
About the role As Actuarial Data Scientist you will develop and enhance advanced pricing models, blending actuarial techniques with modern data science. You will work closely with the Lead Actuarial Data Scientist, underwriting experts, and ERGO’s Group Data Science community to deliver AI-enabled solutions that improve ...
... dane rynkowe oraz zdarzenia transakcyjne w czasie rzeczywistym. Rozwijaj wysokowydajne systemy backendowe dla branży fintech! Java Developer - Trading & Market Data Miejsce: Poznań, ul. Grunwaldzka 182 (budynek Pixel 1). Praca hybrydowa (4 dni biuro - 1 dzień zdalnie w tygodniu) Budżet: 12 500 - 17 000 PLN O zespole: Dołączysz ...
- Databricks experience - Pyspark - SQL - Batch processing - Streaming - Workflows - Unity Catalog - DevOps/Streaming experience - SQL Server experience as desirable We are looking for a Senior Data Engineer to join the SML Warehouse Management Stable Team in a key replacement assignment. In this role, you will work in ...
... 10+ lat doświadczenia w obszarach Data Engineering, Data Architecture, AI lub Machine Learning. Doświadczenie w projektowaniu i implementacji enterprise-scale Data & ML platforms na Microsoft Azure. Znajomość: Azure Data Factory Azure Databricks Azure Synapse Analytics Azure Data Lake Storage Azure Machine Learning Azure ...
... enforce engineering standards for the team: reproducibility, experiment tracking, testing, and documentation Guide platform decisions and delivery across cloud/data ecosystems — Microsoft Fabric, Palantir Foundry, Databricks, Snowflake, and native Azure/AWS/GCP services Work with AI Architects, data engineers, and client ...
... segmentations and machine learning solutions - Strong understanding of statistics, exploratory data analysis, feature engineering and model evaluation - Experience with data mining processes, data preparation and data scraping - Ability to work with messy, real-world business data and convert it into useful analytical outputs - Experience ...
... firm-wide data strategy to govern, manage and engineer data as a product across more than 70 business-owned sub-domains. As part of this, they are migrating to Databricks as the foundational layer of their Enterprise Data Platform, adopting a lakehouse architecture built on open formats, declarative pipelines and Unity Catalog. ...
A leading technology solutions provider is looking for an Operations Associate to manage customer data, provide support, and handle administrative tasks remotely. The ideal candidate will have a Bachelor’s degree and at least one year of relevant experience, including proficiency in Microsoft Excel. Strong organizational ...
... looking for a Data Analyst to join our brave and brilliant Business Development Team. What will you do on a daily basis? Work with Synerise's ever-evolving data platform, enhanced by AI. Turn complex data into clear insights through advanced analyses, reports, and dashboards. Translate data findings into practical conclusions ...
... as data platform and Lakehouse buildouts, enterprise data warehouse modernization, cross-platform data migrations, advanced analytics, ML/AI activation, and data governance transformationsFrame target-state data visions with clients—connecting business priorities to data strategy, operating models, KPIs, and transformation ...
... highly regulated life sciences environments. You will be responsible for deploying, integrating, validating, and maintaining secure and GxP-compliant MQTT-based data pipelines running on Kubernetes, ensuring seamless data flow from physical plant floor assets to enterprise analytical systems. This role is fully remote, allowing ...