... Scientist, Data Engineering, or a hybrid analytics role. Strong Python skills, e.g. pandas, NumPy, scikit-learn. Good SQL skills and experience working with data platforms. Solid understanding of statistics, data analysis, and feature engineering. Hands-on experience with AWS data services, e.g. S3, Glue, Athena, Lambda, ...
... process mining capabilities. Senior Data Engineer - Process Mining Requirements: 7+ years of experience in similar position. Advanced expertise in process mining data architecture and technical solution design. Proficiency in Celonis EMS, Data Integration, Data Modeling, ETL, OCPM/MCP, SQL, and Python. Experience defining engineering ...
... wyzwaniami biznesowymi w skali milionów klientów, dostępu do nowoczesnych narzędzi i dużych zbiorów danych, współpracy z doświadczonymi ekspertami z obszaru data science, aktuariatu i IT, realnego wpływu na procesy decyzyjne. Tryb pracy Świadczenie usług odbywa się w modelu hybrydowym (min. 1 dzień w tygodniu w biurze ...
... crafting innovative strategies and technology solutions. If you are passionate about utilizing your experience and previous successes to help clients achieve their data North Star, this could be your opportunity to join the EPAM Data Governance Consulting team in the Netherlands - a part of EPAM's Global Data & Analytics Consulting ...
- 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 ...
FI12 UPM-Kymmene Oyj Global Functions in Wroclaw is seeking an experienced Solution Architect to join our Data and Digital Enablement team. You will translate business needs into scalable data and digital solutions leveraging Snowflake, dbt, Azure, and our Common Data Platform. You will work closely with stakeholders from ...
... 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 ...
... and automation of analytical solutions using modern AI tools Working with data in the Databricks environment. Requirements Minimum 3 years of experience as a Data Scientist or Data Analyst Experience in the retail industry, preferably in the area of pricing, revenue management, or commercial analytics Practical knowledge ...
... 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 ...
- Senior-level data science experience, typically 5+ years in data science, advanced analytics or a related field - Strong Python skills and practical experience with pandas and core data science libraries - Experience developing regression models, statistical models, segmentations and machine learning solutions - Strong ...
... 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. ...
... collaboration Requirements 10+ years of program or project management experience in a technology services or consulting environmentProven track record delivering complex data, analytics, or AI programs at scaleHands-on experience with AI/ML delivery — solid understanding of MLOps, data pipelines, and AI SDLC frameworksStrong stakeholder ...
... (preferred) and R), business intelligence tools and cloud technologies (e.g. Azure, AWS) - hands-on experience in statistical modelling, machine learning, AI and data visualization complemented by knowledge in the development and use of GenAI applications and large language models; MLOps experience is desirable - strong analytical ...
... How you will get the job done - building and refining predictive pricing models using GLM, ML, and deep learning techniques - performing feature engineering, data cleaning, and model performance monitoring to ensure accuracy and reliability - developing visual analytics tools and dashboards for tracking pricing KPIs - translating ...
... goals by defining success metrics, auditing data feasibility, and aligning stakeholder expectations. Requirements: Commercial experience with various classical data science and Machine Learning (ML) models (e.g. decision trees, ensemble-based tree models, linear regression etc.). Solid knowledge of customer analytics concepts ...
For Digital Hub Warsaw, we are looking for: Senior Data Scientist Are you excited to turn complex business questions into measurable impact? We are hiring a Senior Data Scientist for the Machine Learning & Artificial Intelligence unit within Bayer’s Enterprise Data & Analytics Platform. You will combine generative AI with ...
... 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. ...
... 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 ...
... 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. ...
... 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 ...