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Azure Data Scientist Jobs in Kentucky (NOW HIRING)

$100 - $175/hr

Microsoft Azure, Databricks, or related cloud certifications. #J-18808-Ljbffr

New

$150 - $210/hr

The Senior Data Scientist is a principal‑level individual contributor responsible for ... Azure Synapse Analytics (dedicated & serverless SQL pools) * Azure Data Factory (Fabric Data ...

$120 - $190/hr

Position Summary The Data Scientist is responsible for applying advanced statistical and machine ... Experience with cloud data platforms (Azure ML, AWS, GCP) * Knowledge of time series forecasting ...

$90 - $120/hr

Azure cloud * Tooling: Cypress, Docker, GitHub, Cursor, SonarQube Base Pay Range* $90,000 - $120,000 *This base pay range is subject to change and may be modified in the future. The pay range ...

$90 - $140/hr

SENIOR DATA SCIENCE ENGINEER SPECIALIST - DATA SCIENTIST Concurrent Technologies Corporation ... Experience with cloud-based data platforms (e.g., AWS, Azure, GCP). * Experience with big data ...

... Azure DevOps. Skills / Knowledge / Experience: * Develop and project manage modeling projects and ... Data Scientist: 2 or more years of data science/predictive analytics experience in (re)insurance or ...

$110 - $148/hr

The Data Scientist Supervisor leads a team of data scientists within the DHS Data & Analytics Unit ... Expertise in cloud computing (AWS, Azure, GCP) and big data technologies. * Strong experience with ...

New

$110 - $170/hr

DevTech seeks a Data Scientist to work as an institutional contractor on its Analytics, Data ... Experience working in cloud environments and platforms, particularly Azure and Databricks;

$110 - $183/hr

Use python, Kedro, dbt, Docker, AWS, Snowflake, Azure DevOps, and related tools to create ... Establish and promote data science best practices including source control, code review, automated ...

$120 - $180/hr

Knowledge of cloud platforms such as AWS, Azure, or Google Cloud. PREFERRED QUALIFICATIONS * Master's degree in Data Science, GIS, Geospatial Intelligence, Computer Science, Statistics, or related ...

$140 - $209/hr

Apache Spark | Azure Machine Learning | Data Governance | Data Quality | Data Visualization * Causal Inference | Data Pipelines | Experimentation | Machine Learning | Model Monitoring * C# ...

... Azure DevOps. Skills / Knowledge / Experience: * Develop and project manage modeling projects and ... Data Scientist: 2 or more years of data science/predictive analytics experience in (re)insurance or ...

$110 - $170/hr

Deliver end-to-end data science projects using classical machine learning (e.g., regression ... Familiarity with cloud platforms (AWS, GCP, or Azure) and MLOps tools. * Experience with data ...

$90 - $167/hr

Data Scientist, AI & Generative AI John Hancock | Boston, MA / Toronto, ON Shape the Future of AI ... Experience with cloud‑based AI development, preferably in Microsoft Azure and Databricks ...

New

$120 - $180/hr

Develop and maintain Extract-Transform-Load (ETL) processes using SQL, Python, or Azure Data ... Bachelor's degree in Data Science, Statistics, Computer Science, Business Analytics, or related ...

New

$109 - $163/hr

The Data Scientist Senior will be a member of a close-knit team of data analysts, data scientists ... Hands-on experience with the Azure cloud platform, particularly Azure Databricks. Proficient in ...

$109 - $163/hr

The Data Scientist Senior will be a member of a close-knit team of data analysts, data scientists ... Hands-on experience with the Azure cloud platform, particularly Azure Databricks. Proficient in ...

$87 - $108/hr

Senior Data Scientist The Role We are seeking a Senior Data Scientist to lead the design ... Experience deploying production AI solutions on cloud platforms such as GCP, AWS, or Azure.

$154 - $311/hr

Senior Data Scientist This role has been designed as 'Onsite' with an expectation that you will ... Experience in deploying and leading complete ML platforms in AWS/GCP/Azure. What We Can Offer You:

$150 - $190/hr

Central Strategies is seeking an AI/ML Data Scientist to support the U.S. Coast Guard. This ... Experience with cloud environments including AWS, Azure, or GovCloud. * Experience integrating AI ...

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Azure Data Scientist information

See Kentucky salary details

$40K

$143.3K

$211.5K

How much do azure data scientist jobs pay per year?

As of Sep 3, 2026, the average yearly pay for azure data scientist in Kentucky is $143,323.00, according to ZipRecruiter salary data. Most workers in this role earn between $115,900.00 and $147,600.00 per year, depending on experience, location, and employer.

What is an Azure Data Scientist?

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 does an Azure Data Scientist do?

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 are the key skills and qualifications needed to thrive as an Azure Data Scientist?

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.

How much do Azure Data Scientists make?

Azure Data Scientists typically earn a median salary ranging from $90,000 to $130,000 annually, depending on experience, location, and certifications. Professionals with advanced skills in machine learning, cloud platforms, and data analysis tools tend to command higher salaries.

What are the most commonly searched types of Azure Data Scientist jobs in Kentucky?

The most popular types of Azure Data Scientist jobs in Kentucky are:

What are popular job titles related to Azure Data Scientist jobs in Kentucky?

For Azure Data Scientist jobs in Kentucky, the most frequently searched job titles are:

Infographic showing various Azure Data Scientist job openings in Kentucky as of August 2026, with employment types broken down into 1% As Needed, 81% Full Time, 9% Part Time, 7% Temporary, and 2% Contract. Highlights an 84% Physical, 4% Hybrid, and 12% Remote job distribution, with an average salary of $143,323 per year, or $68.9 per hour.

$100 - $175/hr

Other

Medical, Dental, Vision, Retirement, PTO

Posted 2 days ago

New


Job description

If you are unable to complete this application due to a disability, contact this employer to ask for an accommodation or an alternative application process.

Senior Data Scientist

Full Time Arlington, VA, US

30+ days ago Requisition ID: 1074

Salary Range: $100,000.00 To $175,000.00 Annually

About Company:

About Tripoint Solutions

We are technology innovators, partnered with state-of-the-art providers, such as AWS, ServiceNow, and UiPath, to drive digital transformation in the federal space. TPS teams are bringing automation and data science into areas of the government that are crying out for fresh tech—making positive impacts felt by tens of thousands of users, countless citizens, and all six branches of the military each day. Our Agile teams are responsible for envisioning, launching, and operating the massive data systems and analytics platforms used to manage $14.5B in government procurements and $200B in military real estate assets globally. At TPS, we apply the power of cloud technologies to help the government think smarter and function better—for everyone.

TPS Company Values

  • We value and respect each employee's dedicated work and unique contributions as they directly impact who we are and what we do.
  • Your talent and innovative thinking bring leading-edge solutions to our customers.
  • Our success is driven by the dedication of our employees.
  • Employee-generated solutions have sustained our continued success and customer satisfaction

Tripoint Solutions builds flexibility into health benefit plan choices, covers most of the monthly premiums, and helps employees build a career with impact through our generous professional development program.

We offer all full-time employees:

  • Medical, Dental, Vision benefits with a national provider network
  • Flexible Spending and Health Savings Accounts (FSA & HSA)
  • Company-paid Life and Disability insurance including Short-Term, Long-Term, and Accidental
  • Supplemental Insurance
  • Paid time off (PTO)
  • 11 paid holidays
  • 401(k) Retirement Plan
  • Professional Development Reimbursement Program to pursue undergraduate, graduate, training, and certifications
  • Monthly transportation, parking, and cell phone service reimbursement


Tripoint Solutions is an Equal Opportunity Employer/Veterans/Disabled

About the Role:

We are seeking an experienced Senior Data Scientist to support an upcoming federal contract. The successful candidate will lead the design and implementation of advanced analytics, artificial intelligence (AI), and cloud-based data solutions that support enterprise applications serving millions of users annually.

This position requires expertise in data science, AI architecture, cloud data platforms, and the Software Development Life Cycle (SDLC). The ideal candidate will transform complex data into actionable insights while developing scalable, secure, and high-performing analytical solutions.

Location: Washington, DC Metropolitan Area (Candidates must reside in D.C., Virginia, or Maryland) – Hybrid: On-site 1 day per week

Clearance Requirements:

  • Applicants selected may be subject to a government security investigation.
  • USA Citizenship is required.

Responsibilities:

  • Develop, validate, and deploy predictive models and machine learning algorithms to address business challenges.
  • Develop AI-enabled solutions, including Retrieval-Augmented Generation (RAG), vector database, and graph database architectures.
  • Design and optimize enterprise data architectures supporting AI and machine learning applications.
  • Build and maintain scalable data pipelines using Databricks and Microsoft Azure data services.
  • Develop interactive dashboards, reports, and visualizations using tools such as Power BI or Tableau.
  • Apply statistical analysis, predictive analytics, machine learning, and Generative AI techniques to solve complex business challenges.
  • Support all phases of the Software Development Life Cycle (SDLC), including requirements analysis, development, integration, testing, quality assurance, deployment, and production support.
  • Ensure data quality, system performance, and compliance with security and data governance requirements.
  • Collaborate with cross-functional technical teams and Government stakeholders to deliver innovative, high-quality solutions.
  • Evaluate emerging technologies and recommend improvements that enhance operational efficiency and analytical capabilities.
  • Communicate complex analytical results and insights effectively to both technical and non-technical audiences.
  • Stay current with emerging data science techniques, tools, and industry trends to continuously enhance capabilities.

Minimum Qualifications:

  • Bachelor’s degree in Data Science, Computer Science, Statistics, Mathematics, or a related quantitative field.
  • 5+ years of professional experience in data science or a closely related analytical role.
  • Hands-on experience with Databricks.
  • Experience with Microsoft Azure data services and cloud-based analytics platforms.
  • Practical experience designing AI data architectures, including Retrieval-Augmented Generation (RAG), vector databases, and graph databases.
  • Experience developing dashboards and visualizations using Power BI, Tableau, or similar business intelligence tools.
  • Experience supporting Software Development Life Cycle (SDLC) activities, including testing and quality assurance.
  • Proficiency with SQL and one or more programming languages such as Python, R, or Scala.
  • Strong analytical, problem-solving, communication, and collaboration skills.
  • Excellent communication skills with the ability to explain complex concepts clearly.

Preferred Qualifications:

  • Master's degree in Data Science, Computer Science, Artificial Intelligence, Analytics, or a related discipline.
  • Experience supporting Federal Government IT programs or enterprise-scale systems.
  • Experience implementing Generative AI or large language model (LLM) solutions.
  • Familiarity with DevSecOps, CI/CD pipelines, and automated testing frameworks.
  • Microsoft Azure, Databricks, or related cloud certifications.
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