Unify Dots
Tech / AI / Software
AzureDataScientist
Neural analysis suggests this role is
optimal for mid candidates.
“Azure Data Scientist at Unify Dots. Skills: Azure Data Scientist, machine learning models, Microsoft Azure, Azure Machine Learning. 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”
What You'll Achieve.
Define business goals and translate them into machine learning problems and success metrics; ensure models align with real business outcomes
Industry & Context.
analytical and problem-solving skills; translate business requirements into machine learning solutions with clear outcomes
What They're Looking For.
Must Have
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, 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, analytical and problem-solving skills, Good communication skills in English (written and verbal)
Nice to Have
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)
What You'll Do.
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
and iterate machine learning models
Run experiments and track results using Azure Machine Learning
Use notebooks for data exploration
and results for business and technical stakeholders
How You'll Work.
Team & Collaboration
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; Experience working in cross-functional teams (business, engineering, analytics)
Communication Scope
Good communication skills in English (written and verbal); Document assumptions, model behavior, and results for business and technical stakeholders
Full Job Description
UNIFY Dots is a global technology and software solutions company specializing in Microsoft Dynamics 365 based solutions. We are seeking an Azure Data Scientist who will be responsible for designing, building, and experimenting with machine learning models using Microsoft Azure. Your job duties include the following tasks and responsibilities: * 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) a
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