[Hiring] Azure Data Scientist @Unify Dots

Role Description

We are seeking an Azure Data Scientist who will be responsible for designing, building, and experimenting with machine learning models using Microsoft Azure.

• Define business goals and translate them into machine learning problems and success metrics
• Design and implement data models suited for analytical and machine learning workloads
• Perform feature engineering and feature selection based on business context
• Build, train, evaluate, and iterate machine learning models
• Run experiments and track results using Azure Machine Learning
• Use notebooks for data exploration, model development, and validation
• Document assumptions, model behavior, and results for business and technical stakeholders
• Collaborate with data engineers and solution architects to ensure data readiness
• Work closely with business and technology teams to ensure models align with real business outcomes

Qualifications

• Bachelor’s Degree in Computer Science, Engineering, Information Technology, or related field
• 3–5 years of experience in data science, machine learning, or related roles
• Strong experience with Python for data analysis and machine learning
• Experience with Azure ML Python SDK (v2)
• Hands-on experience with Azure Machine Learning (workspaces, experiments, models)
• Proficiency using Jupyter Notebooks in Azure ML Studio for experimentation and modeling
• Solid understanding of data modeling concepts (features, labels, training data, validation)
• Experience building and comparing regression, classification, or clustering models
• Ability to translate business requirements into machine learning solutions with clear outcomes
• Strong analytical and problem-solving skills
• Good communication skills in English (written and verbal)
• Certified in Microsoft Azure AI Fundamentals (AI-900) and Microsoft Azure Data Fundamentals (DP-900)

Requirements

• Exposure to ML lifecycle practices (experimentation, evaluation, deployment readiness)
• Familiarity with common ML libraries (e.g., scikit-learn, pandas, NumPy)
• Experience working in cross-functional teams (business, engineering, analytics)

Benefits

• Market competitive compensation
• Medical Insurance for Team member + Spouse + Children + Parents
• Laptop for Work from Home while working at Unify Dots
• People before Profit Culture that values team members over financial numbers