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Overnight Azure Data Scientist Jobs (NOW HIRING)

Lantern

Data Scientist

Dallas, TX

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.

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.

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 ...

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 ...

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.

CGT Staffing

Azure Data Engineer

Pittsburgh, PA · On-site +1

$107K - $128K/yr

Collaborate with business stakeholders, data scientists, and technical teams to gather requirements ... Integrate enterprise platforms with Azure Data Factory, Azure Data Lake Storage, Azure Synapse ...

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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All JobsOvernight Azure Data Scientist Jobs

Overnight Azure Data Scientist information

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$46K

$165K

$243.5K

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

As of Jun 13, 2026, the average yearly pay for overnight 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 time is considered overnight?

For an overnight Azure Data Scientist role, overnight hours typically refer to the period from late evening to early morning, commonly between 10:00 PM and 6:00 AM. These hours may vary depending on the company's schedule or project requirements, and working overnight often involves shift work or flexible hours to support 24/7 data operations.

Is overnight one word or two?

In the context of an overnight Azure Data Scientist, the term 'overnight' is written as one word. It typically describes work scheduled during the night or outside regular hours, which may be relevant for shift-based roles or tasks requiring off-hours data processing.

What are the key skills and qualifications needed to thrive as an Overnight Azure Data Scientist, and why are they important?

To thrive as an Overnight Azure Data Scientist, you need a strong background in data science, statistics, and machine learning, typically backed by a relevant degree and experience with cloud-based analytics. Proficiency with Microsoft Azure tools (such as Azure Machine Learning, Data Factory, and Databricks), Python or R, and relevant certifications like Microsoft Certified: Azure Data Scientist Associate are commonly required. Excellent problem-solving, communication, and the ability to work independently during overnight hours are critical soft skills. These competencies ensure robust data solutions, seamless collaboration across teams, and reliable support for real-time business needs during off-peak hours.

What is an Overnight Azure Data Scientist?

An Overnight Azure Data Scientist is a professional who works primarily during nighttime or non-standard hours to analyze, process, and interpret large data sets using Microsoft Azure's cloud computing tools and services. Their responsibilities often include building and deploying machine learning models, managing data pipelines, and ensuring the reliability of data-driven systems outside of typical business hours. This role is crucial for organizations that require 24/7 data operations, global collaboration, or support for real-time analytics.

What are some unique challenges faced by Overnight Azure Data Scientists, and how can they effectively collaborate with daytime teams?

Overnight Azure Data Scientists often encounter challenges such as limited real-time access to stakeholders and the need to synchronize work with daytime teams. Effective communication through detailed documentation and regular handoff meetings is crucial to ensure project continuity. Leveraging Azure's collaborative tools, such as shared notebooks and automated reports, helps maintain alignment and smooth transitions between shifts. Building strong relationships with colleagues across time zones also enhances collaboration and project efficiency.

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

AspectOvernight Azure Data ScientistData Analyst
Required CredentialsAzure certifications, data science degrees, programming skillsData analysis courses, basic SQL, Excel skills
Work EnvironmentCloud platforms, data science teams, project-basedOffice settings, reporting teams, business units
Employer & Industry UsageTech companies, finance, healthcare using AzureRetail, marketing, finance across various industries

Overnight Azure Data Scientists focus on developing machine learning models and data solutions using Azure cloud services, often working in technical, project-driven environments. Data Analysts primarily interpret data, generate reports, and support business decisions with less emphasis on cloud platforms or advanced modeling. While both roles analyze data, the Azure Data Scientist requires specialized cloud and programming skills, making their work more technical and cloud-centric.

Is overnight one day?

In the context of an overnight Azure Data Scientist role, 'overnight' typically refers to a work shift that occurs during nighttime hours, often spanning a single calendar day. It does not mean the role lasts for one day, but rather that the work is scheduled during overnight hours, which may be part of a multi-day schedule depending on the employer's needs.
What cities are hiring for Overnight Azure Data Scientist jobs? Cities with the most Overnight 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:
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Overnight Azure Data Scientist jobs near you
Azure Data scientist

Azure Data scientist

R2 Technologies Corporation

Atlanta, GA • On-site

Full-time

Posted 20 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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