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Azure Data Scientist Jobs (NOW HIRING)

Lantern

Data Scientist

Dallas, TX · On-site

As a Data Scientist , you will be responsible for assisting our clients envision, design, develop ... Proficiency with Microsoft Azure technologies such as Azure Machine Learning and Azure Databricks.

TALENT ANYTIME

Data Scientist

Arlington, VA · On-site

Data Scientist Location: VA-Virginia/Arlington, VAF Role: Develop & maintain data analytics ... Experience with Azure infrastructure especially Azure Data Lake and Azure Data Factory.

New

Group Nine LLC

Data Scientist

Arlington, VA · On-site

Group Nine LLC is seeking a Data Scientist to develop and maintain data analytics solutions and ... Azure infrastructure especially Azure Data Lake and Azure Data Factory. • Experience using ...

Lantern

Data Scientist

Dallas, TX · On-site

As a Data Scientist , you will be responsible for assisting our clients envision, design, develop ... Proficiency with Microsoft Azure technologies such as Azure Machine Learning and Azure Databricks.

ACI Infotech

Azure Data Engineer

Atlanta, GA · On-site

$110K - $132K/yr

Advanced Analytics/Data Scientists tools: * Must Have: Google Analytics, FireBase, RStudio Server, PyCharm * Programming Languages: * Must Have: SQL, JavaScript, * Agile tools: * Must Have: Azure ...

NAVA Software Solutions

Data Scientist

Merrifield, VA · On-site

Data Scientist Location: Merrifield, VA(Hybrid) Duration: 12 Months Contract Responsibilities ... Apache Spark, Azure Data Factory, Azure DevOps, Azure ML (Machine Learning), Hadoop, Microsoft ...

ARC Group

Sr. Data Scientist

Atlanta, GA

Sr. Data Scientist (100% remote) ARC Group is currently seeking a Sr. Data Scientist to join a ... Power BI, Azure Synapse and Azure Data Explorer, SQL. You should know how to build a report off ...

Cayuse Holdings, LLC

$28 - $30/hr

This role requires a strong technical foundation in Azure cloud platforms, data engineering, and applied data science to support critical business decisions and technological advancements.

talentmovers inc

Azure Data Engineer

Dallas, TX · On-site

$113K - $136K/yr

Lead/ Senior Azure Data Engineer Location : Dallas, TX Rate : On C2C Job Summary: The Azure Data ... They work with data architects, data scientists, and other stakeholders to ensure data solutions ...

Lantern

Azure AI Apps Architect

Dallas, TX · On-site

$62.75 - $81.75/hr

... data science solutions. You will also have the opportunity to support company leaders and sales ... Experience with Microsoft Azure technologies like Azure Machine Learning, Azure OpenAI Service ...

NAVA Software Solutions

Azure Data Lead

Clearwater, FL · On-site

Azure Data Tech Lead Location: Remote Duration: 1 year + Minimum experience: * Azure Data Lake - 2 ... Bachelor/ master's degree in the technology field (preference is computer science engineering ...

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Azure Data Scientist information

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$165K

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How much do azure data scientist jobs pay per year?

As of Jun 16, 2026, the average yearly pay for azure data scientist in the United States is $165,018.00, according to ZipRecruiter salary data. Most workers in this role earn between $133,500.00 and $170,000.00 per year, depending on experience, location, and employer.

What are the key skills and qualifications needed to thrive in the Azure Data Scientist position, and why are they important?

To thrive as an Azure Data Scientist, you need strong skills in statistics, machine learning, and data analysis, often supported by a degree in computer science or a related field. Experience with Microsoft Azure cloud services, such as Azure Machine Learning and Data Factory, along with certifications like Azure Data Scientist Associate, are highly valuable. Effective communication, problem-solving, and collaboration are essential soft skills for working in cross-functional teams and presenting insights to stakeholders. These abilities ensure you can efficiently develop, deploy, and optimize data-driven solutions that meet business objectives in a cloud-based environment.

Is 40 too late for data science?

Azure Data Scientists and other data science professionals can successfully start or transition into the field at age 40 or older. Success depends on acquiring relevant skills such as programming, statistics, and experience with tools like Azure Machine Learning, regardless of age, as many employers value diverse backgrounds and continuous learning.

What is the salary of data scientist in Microsoft Azure?

The salary of an Azure Data Scientist typically ranges from $90,000 to $140,000 annually, depending on experience, location, and certifications. Entry-level roles may start lower, while experienced professionals with advanced skills in machine learning and cloud services can earn higher salaries.

What is an Azure Data Scientist job?

An Azure Data Scientist is responsible for designing, developing, and deploying machine learning models and AI solutions using Microsoft Azure's cloud services. They work with large datasets, utilize Azure Machine Learning, Databricks, and other Azure AI tools to extract insights and drive business decisions. Their role involves data preprocessing, feature engineering, model training, and performance optimization. Additionally, they collaborate with data engineers and analysts to integrate models into production environments and ensure scalability and reliability.

What is the 80 20 rule in data science?

In data science, the 80/20 rule, also known as the Pareto principle, suggests that roughly 80% of the results come from 20% of the efforts or data. Data scientists often use this concept to focus on the most impactful features, data subsets, or models to optimize performance and efficiency.

What are the typical daily responsibilities of an Azure Data Scientist?

As an Azure Data Scientist, your typical day involves working with large datasets hosted on Azure, building and training machine learning models using Azure Machine Learning, and collaborating with data engineers and business analysts. You will be responsible for cleaning and preprocessing data, selecting appropriate model architectures, monitoring model performance, and deploying solutions to production environments in the Azure cloud. Regular communication with stakeholders and team members is crucial to understand project goals and translate business problems into data-driven solutions. This role combines hands-on technical work with ongoing learning and cross-team collaboration in a dynamic, fast-paced environment.

Is the DP 100 exam hard?

The DP-100 exam for Azure Data Scientists tests knowledge of designing and implementing data science solutions on Azure. It is considered challenging due to its focus on both theoretical concepts and practical skills with tools like Azure Machine Learning and data handling, requiring thorough preparation and hands-on experience. Success depends on familiarity with Azure services, data science fundamentals, and exam-specific topics.
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What cities are hiring for Azure Data Scientist jobs? Cities with the most Azure Data Scientist job openings:
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Azure Data Scientist jobs near you
Infographic showing various Azure Data Scientist job openings in the United States as of June 2026, with employment types broken down into 100% Full Time. Highlights an 100% In-person job distribution, with an average salary of $165,018 per year, or $79.3 per hour.
Azure Data scientist

Azure Data scientist

R2 Technologies Corporation

Atlanta, GA • On-site

Full-time

Posted 23 days ago

Job description

Overview:
Role: Azure Data scientist
Location: Atlanta GA
#Role is on-site, Must relocate
Must w2 Role
should have subject matter expertise in applying data science and machine learning to implement and run machine learning workloads on Azure. Additionally, you should have knowledge of optimizing language models for AI applications using Azure AI.
Your responsibilities for this role include:
  • Designing and creating a suitable working environment for data science workloads.
  • Exploring data.
  • Training machine learning models.
  • Implementing pipelines.
  • Running jobs to prepare for production.
  • Managing, deploying, and monitoring scalable machine learning solutions.
  • Using language models for building AI applications.

Skills:
Azure,Data Science,Machine Learning

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