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Senior Data Scientist

3 weeks, 6 days ago
Serbia, United Kingdom, Romania
Senior
Data Scientist
Data Science and Analytics
Agile Azure CI/CD Feature Engineering Figma GCP Generative AI Git JIRA Looker Machine Learning MLOps Power BI Python SQL Vertex AI
Apply Now

Sedona Digital

Sedona Digital describes itself as an award-winning transformation partner specializing in Software/AI, Data/AI, Cloud Security, and Business Change. Its site also describes it as a process-led, AI, data, security and software business.

IT Services and IT Consulting
Founded 2008
View All Jobs 7

Description

  • Translate business problems into predictive modeling, optimization, and data-driven solutions.
  • Design, develop, deploy, evaluate, and optimize machine learning models for classification, regression, clustering, and forecasting.
  • Engineer prompts for securely hosted large language models and contribute to Generative AI solutions.
  • Apply statistical analysis and experimentation methods, including hypothesis testing and A/B testing.
  • Conduct exploratory data analysis, feature engineering, and dataset preparation across large cloud-based datasets.
  • Implement MLOps practices including model versioning, monitoring, retraining, and production lifecycle management.
  • Collaborate with data engineers, architects, clients, and stakeholders during discovery, experimentation, and solution design.
  • Communicate model results, insights, and recommendations through clear storytelling, visualization, and stakeholder presentations.
  • Contribute to scalable analytics and AI solution design focused on business value.

Requirements

  • 5+ years of experience as a senior data scientist or engineer delivering data science, machine learning, or advanced analytics solutions.
  • 2+ years of experience with GCP data technologies.
  • Hands-on experience with machine learning, statistical modeling, production deployments, model tuning, and validation.
  • Experience managing the end-to-end machine learning lifecycle, from data preparation through deployment and monitoring.
  • Strong Python and SQL skills, including experience working with large datasets.
  • Experience with data identification, ETL/pipelining, curation, chunking, modeling, data quality, cataloging, lineage, and package deployment.
  • Ability to elicit, analyze, and document business requirements and processes.
  • Experience with Agile methodologies and participation in ceremonies such as sprint planning, retrospectives, and backlog refinement.
  • Bachelor’s or Master’s degree in Data Science, Computer Science, Mathematics, Statistics, or a related field.
  • Strong communication, problem-solving, independent ownership, and stakeholder engagement skills; preferred experience includes Generative AI, RAG, Vertex AI, Gemini, BigQuery ML, MLOps, data governance, Looker, Power BI, financial services, and relevant certifications.

Benefits

  • Learning investment and opportunities for long-term career development.
  • Open and collaborative working culture.
  • Opportunity to work with global clients and modern cloud-based data and AI platforms.
  • Exposure to scalable data platforms, machine learning, analytics, and Generative AI solutions.

Interested in this position?

Apply directly on the company website

Apply Now

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