Senior Data Scientist

🕒 May 28

Apply Now

Find Similar Remote Jobs

Set Up Email Alert For New Jobs

📊 Check your resume score for this job

Improve your chances of getting an interview by checking your resume score before you apply.

Upload Resume

Sedona Digital

WebsiteLinkedInAll Job Openings

51 - 200 employees

🤖 Artificial Intelligence

🔒 Cybersecurity

🤝 B2B

Artificial Intelligence • Cybersecurity • B2B

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

• Design, develop, and deploy end-to-end machine learning solutions using Azure Machine Learning (Azure ML). • Build, train, evaluate, and optimize models using techniques such as classification, regression, and advanced analytics. • Collaborate with data engineers to define and consume curated datasets from Azure Synapse, ADLS, and Azure SQL. • Develop scalable feature engineering and model training pipelines. • Operationalize ML models using MLOps practices, including versioning, monitoring, and retraining strategies. • Translate business problems into analytical solutions and communicate insights clearly to stakeholders. • Work with large datasets using Python, SQL, and distributed processing frameworks. • Contribute to the design of analytics and AI architectures across Azure ecosystems. • Implement best practices for model explainability, reproducibility, and governance. • Support visualization and insight delivery through Power BI or similar tools. • Collaborate with product owners, engineers, and business stakeholders to drive data-driven decision-making. • Participate in client engagements, including discovery, experimentation, and solution design phases.

🎯 Requirements

• Bachelor’s or Master’s degree in Computer Science, Data Science, Mathematics, or a related field. • 5+ years of experience in data science, machine learning, or advanced analytics roles. • Strong hands-on experience with: • Azure Machine Learning (Azure ML) • Azure Synapse Analytics • Azure Data Lake / Blob Storage • Solid programming skills in Python (e.g., pandas, scikit-learn, PySpark). • Strong SQL skills and experience working with large datasets. • Experience building and deploying ML models in production environments. • Understanding of data pipelines and collaboration with data engineering teams. • Familiarity with Azure DevOps, GitHub, and version control best practices. • Ability to work independently and make pragmatic technical decisions. • Excellent communication skills in English, with the ability to explain complex concepts clearly. • Preferred Skills (Nice to Have) • Experience with MLOps frameworks and model lifecycle management. • Familiarity with Databricks or distributed ML workflows. • Experience with experiment tracking and model monitoring tools. • Knowledge of CI/CD pipelines for ML solutions. • Exposure to design tools such as Miro or Figma for collaborative workstreams. • Experience working in regulated or data-sensitive environments. • Previous involvement in client-facing data science or discovery engagements. • Key Tools & Technologies • Azure ML, Azure Synapse, Azure Blob Storage / ADLS • Azure DevOps, GitHub • Python, SQL • Power BI • Miro, Figma

🏖️ Benefits

• Remote Work Flexibility • Opportunity to work in a rapidly growing scale-up organisation • Exposure to complex, global client engagements • Training on market trends and client needs • Ongoing learning and development opportunities • Competitive compensation package • Fun budget for team events