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Azure Data Scientist Jobs (NOW HIRING)

This Data Scientist position with the Professional Services Procurement Office will be an important ... Apache Spark, Spark SQL, Hive, HDFS, MapReduce, Azure Data Lake * Cloud platforms: Amazon Web ...

Azure .NET Architect

San Francisco, CA ยท On-site

$74.75 - $97.50/hr

Work closely with AI engineering, data science, and security teams to optimize Azure cloud solutions. * Experience: 12-15 years in designing, developing, and supporting enterprise-grade SaaS products ...

Azure Cloud Data Engineer

Weston, FL ยท 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 Data Engineer

Dallas, TX ยท On-site

$113.30K - $136K/yr

Azure Data Engineer Location: Dallas, TX ( 4 days WFO) Day 1 onsite Full Time Candidates should ... Databricks Certification Minimum Requirements: โ€ข Bachelor's degree in Computer Science ...

Azure Data Engineer

Minneapolis, MN ยท On-site

$80K - $158K/yr

... data scientists, and business stakeholders Monitor, debug, and optimize data workflows Required Skills & Qualifications Technical Skills Strong hands-on experience with Microsoft Azure (ADF, ADLS ...

Azure AI Apps Architect

Dallas, TX ยท On-site

$62.75 - $81.75/hr

Azure Data Scientist Associate), or Databricks ML Data Scientist Certifications a plus * Experience with GitHub or Azure DevOps * Prior consulting and business development experience a plus

This Data Scientist position with the Professional Services Procurement Office will be an important ... Apache Spark, Spark SQL, Hive, HDFS, MapReduce, Azure Data Lake Cloud platforms: Amazon Web ...

Azure Data/Ops Architect

Dallas, TX ยท On-site

$62.75 - $81.75/hr

Bachelor's or master's degree in computer science, Data Engineering, or related field. * 7+ years of experience in data engineering or cloud architecture. * Deep expertise in Azure services: Data ...

This Data Scientist position with the Professional Services Procurement Office will be an important ... Apache Spark, Spark SQL, Hive, HDFS, MapReduce, Azure Data Lake Cloud platforms: Amazon Web ...

Azure Data Bricks Consultant

Fort Worth, TX ยท On-site

$52.75 - $65.50/hr

Bachelor's degree in Computer Science, Computer Engineering, Technology, Information Systems (CIS ... Azure Data Explorer. Administration skills a plus * Azure Cloud Technologies: Azure Data Factory ...

Strong SQL and Python proficiency with hands-on experience in medallion/Lakehouse architectures on Databricks, Snowflake, AWS, or Azure. * Data Science Proven track record building and deploying ML ...

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Azure Data scientist information

See salary details

$46K

$165K

$243.5K

How much do azure data scientist jobs pay per year?

As of May 31, 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 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 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.

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.
What cities are hiring for Azure Data Scientist jobs? Cities with the most 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 Azure Data Scientist jobs? States with the most job openings for Azure Data Scientist jobs include:
Infographic showing various Azure Data Scientist job openings in the United States as of May 2026, with employment types broken down into 100% Full Time. Highlights an 23% Physical, and 77% Remote job distribution, with an average salary of $165,018 per year, or $79.3 per hour.

Data Scientist

Laksan Technologies

Richmond, VA โ€ข On-site

Contractor

Posted 26 days ago


Job description

This Data Scientist position with the Professional Services Procurement Office will be an important member of the VDOT PSPO team.ย  In this role, the Data Scientistย collects and analyzes statistics and information from multiple sources to spot trends and to gain maximum insight that can give the company a competitive advantage and communicates informed conclusions and recommendations across an organization's leadership structure. Strategizes and identifies unique opportunities to locate and collect new data, explores and mines data from many angles, and determines what it means. Communicates data findings to both business and IT leaders to influence how an organization approaches and meets business challenges of an evolving customer base and changing marketplace, using strong business acumen. Finds and recommends new uses for existing data sources; designs, modifies, and builds new data processes; and builds large, complex data sets.
In addition to standard knowledge, skills and abilities for a Data Scientist, the successful candidate for this role will have experience and knowledge of procurement, preferably professional services procurement and the data related to this business need as well as procurement related reporting systems and technology.ย ย 
Skills Specific to this Position:
  • Provide expertise to agency on data-driven decision making and strategy.ย 
  • Provide expertise in specific areas, such as machine learning, predictive analytics using data and systems related to public procurement.
  • Leading research projects, for advanced date mining, developing algorithms, or building data pipelines related to public procurement.ย ย 
Tools and Technologies:
  • Programming languages:ย  SQL, Python, PySpark, Shell Scripting, PowerShell
  • Data visualization: Tableau Desktop & Server, Power BI, Looker, Jupyter Notebooks
  • Other frameworks:ย git, GitHub, SSH Secure Shell, Putty, XML, JSON, SQL Workbench

ยทย ย ย ย ย ย ย ย ย Big data platforms: Apache Spark, Spark SQL, Hive, HDFS, MapReduce, Azure Data Lake

  • Cloud platforms: Amazon Web Services (AWS), EC2, S3, RDS, VPC, EMR, SNS, IAM, Redshift, CloudWatch, SQS, Route53, CloudFront, Athena, Kinesis, QuickSight, Lambda.
  • Statistical tools: Snowflake, Redshift, Oracle, MySQL, Microsoft SQL Server, PostgreSQL