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Remote Azure Data Scientist Jobs (NOW HIRING)

$28 - $30/hr

Remote Type: Corp to Corp Start Date: ASAP Pay Rate: $28-$30 per hour Contract Length: 12 months ... This role requires a strong technical foundation in Azure cloud platforms, data engineering, and ...

Azure Data Engineer

Pittsburgh, PA · On-site +1

$107K - $128.50K/yr

Collaborate with business stakeholders, data scientists, and technical teams to gather requirements ... Ability to work within a hybrid or remote enterprise technology environment. * Availability to ...

New

Azure Cloud Data Engineer

Weston, FL · Remote

$108.90K - $130.80K/yr

AZURE DATA ENGINEER (REMOTE) ARC Group has an immediate opportunity for an aspiring Azure / Cloud ... Bachelor's degree in Computer Science, Information Systems, Engineering, Mathematics * 6+ years of ...

Azure Cloud Data Engineer

Weston, VT · Remote

$116.50K - $139.90K/yr

AZURE DATA ENGINEER (REMOTE) ARC Group has an immediate opportunity for an aspiring Azure / Cloud ... Bachelor's degree in Computer Science, Information Systems, Engineering, Mathematics 6+ years of ...

Azure Data Engineer

$117.20K - $140.70K/yr

Azure Data Engineer Associate (or higher), Azure Data Factory, Job Summary: We are seeking a highly ... Collaborate with data analysts, data scientists, and other stakeholders to understand data ...

azure data architect

Winters, TX · On-site +1

$60.50 - $78.75/hr

Bachelor's degree in Computer Science, Information Technology, or a related field * 8+ years of experience in data architecture and design * Strong proficiency in Azure Data services (Azure SQL ...

Azure Data Engineer

$117.20K - $140.70K/yr

Remote We are seeking an experienced Azure Data Engineer to design, build, and maintain scalable data solutions in Azure. The role involves working with data pipelines, data warehouses, and cloud ...

Senior Azure Data Engineer (Remote)

Springfield, IL · Remote

$117.20K - $140.70K/yr

We are seeking a Senior Azure Data Engineer to help design, build, and operate our next-generation ... You will partner closely with data architects, analytics engineers, data scientists, business ...

Azure Data Engineer

$117.20K - $140.70K/yr

Azure Data Engineer Location : Remote Responsibilities: Designing cloud solutions, selecting appropriate Azure services, and optimizing resource utilization for high availability and performance ...

Senior Azure Data Engineer

Springfield, IL · On-site +1

$113.50K - $136.30K/yr

We are seeking a Senior Azure Data Engineer to help design, build, and operate our next-generation ... You will partner closely with data architects, analytics engineers, data scientists, business ...

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Showing results 1-20

Remote Azure Data Scientist information

See salary details

$46K

$165K

$243.5K

How much do remote azure data scientist jobs pay per year?

As of May 29, 2026, the average yearly pay for remote 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 as a Remote Azure Data Scientist, and why are they important?

To excel as a Remote Azure Data Scientist, you need expertise in data analysis, machine learning, statistics, and a strong foundation in computer science, often supported by a degree in a relevant field. Familiarity with Azure Machine Learning, Power BI, Python, and data engineering tools, as well as certifications like Microsoft Certified: Azure Data Scientist Associate, are typically required. Outstanding problem-solving abilities, communication skills, and self-motivation are essential soft skills for collaborating remotely and translating insights into business solutions. These skills ensure you can build effective models, leverage Azure's cloud capabilities, and deliver data-driven results in distributed work environments.

How does a Remote Azure Data Scientist typically collaborate with distributed teams and stakeholders?

As a Remote Azure Data Scientist, collaboration is often facilitated through cloud-based tools, virtual meetings, and shared workspaces like Microsoft Teams and Azure DevOps. You’ll regularly interact with data engineers, software developers, and business analysts to align on data requirements, model deployment, and project goals. Clear communication and documentation are essential, as team members may be in different time zones or departments. Regular sync-ups, agile ceremonies, and shared dashboards help keep everyone on track and ensure that insights are effectively translated into business value.

What is a Remote Azure Data Scientist?

A Remote Azure Data Scientist is a professional who leverages Microsoft Azure’s cloud-based tools and services to analyze data, build machine learning models, and derive insights, all while working from a remote location. They use Azure Machine Learning, Data Lake, Databricks, and other Azure services to manage large datasets, perform predictive analytics, and deploy data-driven solutions. Their work enables organizations to make informed decisions, automate processes, and improve business outcomes without the need for on-site presence.

What is the difference between Remote Azure Data Scientist vs Remote Data Analyst?

AspectRemote Azure Data ScientistRemote Data Analyst
Required CredentialsAzure certifications, data science degrees, programming skillsData analysis certifications, SQL, Excel, basic programming
Work EnvironmentCloud platforms, machine learning models, Azure toolsData visualization, reporting, data querying
Employer & Industry UsageTech, finance, healthcare using Azure cloud servicesBusiness, marketing, finance for data reporting
Common Search & ComparisonYesYes

The Remote Azure Data Scientist focuses on building machine learning models and leveraging Azure cloud services, requiring advanced data science skills and Azure certifications. In contrast, a Remote Data Analyst primarily interprets data, creates reports, and visualizations, often with less emphasis on cloud platforms. Both roles are vital in data-driven industries but differ in technical complexity and tools used.

More about Remote Azure Data Scientist jobs
What cities are hiring for Remote Azure Data Scientist jobs? Cities with the most Remote Azure Data Scientist job openings:
What are the most commonly searched types of Azure Data Scientist jobs? The most popular types of Azure Data Scientist jobs are:
What states have the most Remote Azure Data Scientist jobs? States with the most job openings for Remote Azure Data Scientist jobs include:
Infographic showing various Remote Azure Data Scientist job openings in the United States as of May 2026, with employment types broken down into 76% Full Time, and 24% Contract. Highlights an 100% Remote job distribution, with an average salary of $165,018 per year, or $79.3 per hour.

$28 - $30/hr

Other

Posted 14 days ago


Job description

Overview
Job Title: Data Scientist/Engineer
Location: Remote
Type: Corp to Corp
Start Date: ASAP
Pay Rate: $28-$30 per hour
Contract Length: 12 months - potential conversion to FTE
**This position is posted for future opportunities. Please submit your application to be considered for similar upcoming roles**
We are seeking a highly skilled and motivated Data Scientist/Engineer to join our dynamic and innovative team. The ideal candidate will have hands-on experience designing, building, and maintaining scalable data processing pipelines, implementing machine learning solutions, and ensuring data quality across the organization. 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.
Responsibilities
Data Engineering
  • Build and Maintain Data Pipelines: Develop and manage scalable data pipelines using Azure Data Factory, Azure Synapse Analytics, or Azure Databricks to process large volumes of data.
  • Data Quality and Transformation: Ensure the transformation, cleansing, and ingestion of data from a wide range of structured and unstructured sources with appropriate error handling.
  • Optimize Data Storage: Utilize and optimize data storage solutions, such as Azure Data Lake and Blob Storage, to ensure cost-effective and efficient data storage practices.
Machine Learning Support
  • Collaboration with ML Engineers and Architects: Work with Machine Learning Engineers and Solution Architects to seamlessly deploy machine learning models into production environments.
  • Automated Retraining Pipelines: Build automated systems to monitor model performance, detect model drift, and trigger retraining processes as needed.
  • Experiment Reproducibility: Ensure reproducibility of ML experiments by maintaining proper version control for models, data, and code.
Data Analysis and Preprocessing
  • Data Ingestion and Exploration: Ingest, explore, and preprocess both structured and unstructured data with tools such as:
    • Azure Data Lake Storage
    • Azure Synapse Analytics
    • Azure Data Factory
  • Exploratory Data Analysis (EDA): Perform exploratory data analysis using notebooks like Azure Machine Learning Notebooks or Azure Databricks to derive actionable insights.
  • Data Quality Assessments: Identify data anomalies, evaluate data quality, and recommend appropriate data cleansing or remediation strategies.
General Responsibilities
    • Pipeline Monitoring and Optimization: Continuously monitor the performance of data pipelines and workloads, identifying opportunities for optimization and improvement.
    • Collaboration and Communication: Communicate findings and technical requirements effectively with cross-functional teams, including data scientists, software engineers, and business stakeholders.
    • Documentation: Document all data workflows, experiments, and model implementations to facilitate knowledge sharing and maintain continuity of operations.

Qualifications
  • Proven experience in building and managing data pipelines using Azure Data Factory, Azure Synapse Analytics, or Databricks.
  • Strong knowledge of Azure storage solutions, including Azure Data Lake and Blob Storage.
  • Familiarity with data transformation, ingestion techniques, and data quality methodologies.
  • Proficiency in programming languages such as Python or Scala for data processing and ML integration.
  • Experience in exploratory data analysis and working with notebooks like Jupyter, Azure Machine Learning Notebooks, or Azure Databricks.
  • Solid understanding of machine learning lifecycle management and model deployment in production environments.
  • Strong problem-solving skills with experience detecting and addressing data anomalies.

Other Duties: Please note this job description is not designed to cover or contain a comprehensive list of activities, duties or responsibilities that are required of the employee for this job. Duties, responsibilities, and activities may change at any time with or without notice.
Cayuse is an Equal Opportunity Employer. All employment decisions are based on merit, qualifications, skills, and abilities. All qualified applicants will receive consideration for employment in accordance with any applicable federal, state, or local l aw.
Pay Range
USD $28.00 - USD $30.00 /Hr.