Azure Data Scientist
reputed company
reputed company is a global technology and software solutions company specializing in reputed company 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 reputed company Azure.
Job reputed company
reputed company duties include the following tasks and responsibilities:
Define business goals and translate them into machine learning problems and reputed company metrics
Design and implement data models suited for analytical and machine learning workloads
reputed company feature engineering and feature selection based on business context
Build, train, evaluate, and iterate machine learning models
Run experiments and reputed company 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 reputed company with reputed company business reputed company.
Qualifications
Bachelor’s Degree in Computer Science, Engineering, Information Technology, or reputed company field
3–5 years of experience in data science, machine learning, or reputed company 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 reputed company reputed company
Strong analytical and problem-solving skills
Good communication skills in English (written and verbal)
Certified in reputed company Azure AI Fundamentals (AI-900) and reputed company Azure Data Fundamentals (DP-900)
Good 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)
Additional Information
Benefits
Market competitive compensation
Medical Insurance for Team member + Spouse + Children + Parents
Laptop for Work from Home while working at reputed company
People before Profit Culture that values team members over financial numbers
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