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# Data Scientist

- **Company:** Altitude Technology Solutions Inc
- **Location:** Atlanta, GA, United States
- **Experience:** Expert
- **Contract:** Permanent contract
- **Skills:** Artificial Intelligence, Microsoft Azure, Big Data, Cloud Computing, Computer Programming, Continuous Integration, Data Cleansing, Monitoring of Systems, Python (Programming Language), Machine Learning, NumPy, Tensorflow, Standard Sql, Azure Machine Learning, SQL Databases, Feature Engineering, Azure Data Factory, Pytorch, Large Language Models, Generative AI, Git, Pandas, Pyspark, Scikit Learn, Kubernetes, Information Technology, Xgboost, Machine Learning Operations, Docker, Databricks
- **Published:** August 14, 2026
- **Apply:** https://www.dice.com/job-detail/d2deff52-aa69-4e13-9322-1d0556757e44

## About the Role

* 12+ years of Data Science / Machine Learning experience
 * Strong hands-on *Python* programming
 * Strong *Microsoft Azure* experience
 * Azure Machine Learning*
 * Azure Databricks / PySpark*
 * Advanced *SQL*
 * Machine Learning, Statistical Modeling & Predictive Analytics
 * Scikit-learn, Pandas, NumPy, XGBoost / similar ML frameworks
 * Experience with *MLOps and ML model deployment*
 * Git, CI/CD and Azure DevOps
 * Strong communication and problem-solving skills

Preferred Skills

 * Generative AI / LLMs
 * Azure OpenAI
 * NLP and RAG
 * TensorFlow / PyTorch
 * Docker / Kubernetes
 * Azure Data Factory, Synapse, ADLS
 * Microsoft Azure Data Scientist certification (DP-100), Bachelor''s or Master''s degree in *Computer Science, Data Science, Statistics, Mathematics, Engineering, or related field.
Key Requirements:
12+ Years | Python | Microsoft Azure | Azure ML | Machine Learning | SQL | Databricks | MLOps*

## Description

We are looking for a highly experienced *Senior Data Scientist / Azure Data Scientist* with *12+ years of experience* in Data Science, Machine Learning, AI, and Advanced Analytics. The candidate should have strong hands-on expertise in *Python and Microsoft Azure* and experience delivering enterprise-level ML solutions., * Design, develop, and deploy machine learning and AI solutions using *Python and Azure.

 * Analyze large datasets and develop predictive, classification, forecasting, and optimization models.
 * Build and manage ML pipelines using *Azure Machine Learning and Azure Databricks.
 * Perform data preprocessing, feature engineering, model development, validation, and optimization.
 * Develop production-ready ML solutions and implement *MLOps, CI/CD, and model monitoring*.
 * Work closely with Data Engineers, Software Engineers, Cloud teams, and business stakeholders.
 * Provide technical leadership and mentor junior data scientists.
 * Communicate analytical results and recommendations to technical and business stakeholders.


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