Senior Data Scientist

🔥 0 minutes ago

🌐 Serbia, Romania, +1 more countries – Remote

🇷🇸 Serbia – Remote 🇷🇴 Romania – Remote 🇬🇧 United Kingdom – Remote

⏰ Full Time

🟠 Senior

📊 Data Scientist

👻 Ghost score 14%

What it means: how likely this posting is sitting open without active hiring.How to read it: 60% or higher means we think this is a ghost. Lower scores are less of a worry.How we score it: age, reposts, open roles vs team size, how fast jobs close, and whether pay is listed.Fine print: an estimate from public data, not a judgment of the company. Real jobs can score high, so treat it as a hint, not a fact.

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Sedona Digital

WebsiteLinkedInAll Job Openings

51 - 200 employees

💼 Consulting

🏥 Healthcare

📦 Logistics

Consulting • Healthcare • Logistics

Sedona Digital is a process-led technology consultancy that helps enterprises define strategy, build AI- and data-driven products, modernise applications and secure and operate cloud-native environments. They offer services across technology strategy, data architecture and engineering, AI and predictive analytics, software product engineering, cloud migration and Azure managed services, DevOps/CICD, plus security and managed SOC capabilities to deliver ongoing operations and compliance.

📋 Description

• Translate business problems into analytical solutions and identify opportunities for predictive modelling, optimisation, and data-driven decision-making • Design, develop, and deploy machine learning models using classification, regression, clustering, and forecasting • Engineer prompts for securely hosted AI models and leverage LLM analytical capabilities • Apply statistical methods and experimentation techniques, including hypothesis testing and A/B testing • Conduct exploratory data analysis on large datasets to identify patterns, trends, and key drivers • Engineer features and prepare datasets to improve model performance and robustness • Evaluate and optimize models using metrics, cross-validation, and tuning strategies • Ensure model explainability and interpretability, communicating results to technical and non-technical stakeholders • Design and implement MLOps practices, including model versioning, monitoring, and retraining • Collaborate with data engineers to access, prepare, and scale datasets from cloud platforms • Present insights and recommendations through data visualisation and BI • Contribute to analytics and AI solution design focused on business value • Engage with stakeholders and clients during discovery, experimentation, and solution design phases

🎯 Requirements

• 5 years’ working as a senior data scientist or engineer delivering DS, ML or Advanced Analytics • 2 years’ working with GCP data technologies • Hands-on experience with machine learning techniques, including regression, classification, clustering, and time series • Statistical analysis and modeling with production deployments • End-to-end ML lifecycle experience: data preparation, modeling, evaluation, deployment, and monitoring • Model performance tuning and validation techniques • SQL skills and experience working with large datasets • Demonstrable, proven ability to elicit, analyse, and document requirements and processes • Demonstrable, proven ability with applied data techniques including identification, pipelining/ETL, curation, chunking, modelling, data quality, cataloguing, lineage, and package deployment • Hands-on experience with Agile methodologies and active participation in Agile ceremonies • Ability to work independently and own activities within a multidisciplinary team • Strong problem-solving skills and attention to detail • Ability to communicate complex analytical concepts clearly to business stakeholders • Comfortable working in a fast-paced, changing environment • Bachelor’s or Master’s degree in Data Science, Computer Science, Mathematics, Statistics, or a related field

🏖️ Benefits

• Invest in learning and long-term careers