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Remote Azure Data Scientist Jobs (NOW HIRING)

Econometrica

Data Scientist

Bethesda, MD · On-site +1

... Primary) Remote (Virtual) - US - US Travel About Econometrica, Inc. Econometrica, Inc., is a ... Working within modern cloud environments (Azure, AWS, or GCP) and coordinating with the Data ...

Leidos

Data Scientist

The Enterprise Transformation Office is seeking a skilled Data Scientist with deep expertise in ETL ... Experience with cloud data platforms (AWS, Azure, or GCP) and associated data services. * Knowledge ...

Focused HR Solutions

Azure Data Engineer 1-20-

Raleigh, NC · Remote

$117K - $140K/yr

Our direct client has an opening for a Azure Data Engineer position # 730992. This position is for ... Bachelor's degree in computer science, Engineering, or a related field * Proven experience as a ...

Dlapiper

Data Scientist

Seattle, WA · On-site +1

Hadoop, Azure, etc. * Experience in a professional services or law firm is preferred. Must be adept ... Opportunity for a hybrid work arrangement combining remote and in-office work. The specific ...

Dlapiper

Data Scientist

Houston, TX · On-site +1

Hadoop, Azure, etc. * Experience in a professional services or law firm is preferred. Must be adept ... Opportunity for a hybrid work arrangement combining remote and in-office work. The specific ...

Dlapiper

Data Scientist

Boston, MA · On-site +1

Hadoop, Azure, etc. * Experience in a professional services or law firm is preferred. Must be adept ... Opportunity for a hybrid work arrangement combining remote and in-office work. The specific ...

Dlapiper

Data Scientist

Baltimore, MD · On-site +1

Hadoop, Azure, etc. * Experience in a professional services or law firm is preferred. Must be adept ... Opportunity for a hybrid work arrangement combining remote and in-office work. The specific ...

Dlapiper

Data Scientist

Austin, TX · On-site +1

Hadoop, Azure, etc. * Experience in a professional services or law firm is preferred. Must be adept ... Opportunity for a hybrid work arrangement combining remote and in-office work. The specific ...

Dlapiper

Data Scientist

San Diego, CA · On-site +1

Hadoop, Azure, etc. * Experience in a professional services or law firm is preferred. Must be adept ... Opportunity for a hybrid work arrangement combining remote and in-office work. The specific ...

Dlapiper

Data Scientist

Miami, FL · On-site +1

Hadoop, Azure, etc. * Experience in a professional services or law firm is preferred. Must be adept ... Opportunity for a hybrid work arrangement combining remote and in-office work. The specific ...

Dlapiper

Data Scientist

Minneapolis, MN · On-site +1

Hadoop, Azure, etc. * Experience in a professional services or law firm is preferred. Must be adept ... Opportunity for a hybrid work arrangement combining remote and in-office work. The specific ...

Dlapiper

Data Scientist

Palo Alto, CA · On-site +1

Hadoop, Azure, etc. * Experience in a professional services or law firm is preferred. Must be adept ... Opportunity for a hybrid work arrangement combining remote and in-office work. The specific ...

Dlapiper

Data Scientist

Atlanta, GA · On-site +1

Hadoop, Azure, etc. * Experience in a professional services or law firm is preferred. Must be adept ... Opportunity for a hybrid work arrangement combining remote and in-office work. The specific ...

Dlapiper

Data Scientist

Short Hills, NJ · On-site +1

Hadoop, Azure, etc. * Experience in a professional services or law firm is preferred. Must be adept ... Opportunity for a hybrid work arrangement combining remote and in-office work. The specific ...

Dlapiper

Data Scientist

Washington, DC · On-site +1

Hadoop, Azure, etc. * Experience in a professional services or law firm is preferred. Must be adept ... Opportunity for a hybrid work arrangement combining remote and in-office work. The specific ...

Dlapiper

Data Scientist

Wilmington, DE · On-site +1

Hadoop, Azure, etc. * Experience in a professional services or law firm is preferred. Must be adept ... Opportunity for a hybrid work arrangement combining remote and in-office work. The specific ...

Dlapiper

Data Scientist

Raleigh, NC · On-site +1

Hadoop, Azure, etc. * Experience in a professional services or law firm is preferred. Must be adept ... Opportunity for a hybrid work arrangement combining remote and in-office work. The specific ...

Dlapiper

Data Scientist

Philadelphia, PA · On-site +1

Hadoop, Azure, etc. * Experience in a professional services or law firm is preferred. Must be adept ... Opportunity for a hybrid work arrangement combining remote and in-office work. The specific ...

Dlapiper

Data Scientist

New York, NY · On-site +1

Hadoop, Azure, etc. * Experience in a professional services or law firm is preferred. Must be adept ... Opportunity for a hybrid work arrangement combining remote and in-office work. The specific ...

Dlapiper

Data Scientist

Phoenix, AZ · On-site +1

Hadoop, Azure, etc. * Experience in a professional services or law firm is preferred. Must be adept ... Opportunity for a hybrid work arrangement combining remote and in-office work. The specific ...

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All JobsRemote JobsRemote Azure Data Scientist Jobs

Remote Azure Data Scientist information

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$46K

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$243.5K

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

As of Sep 11, 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 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 are the key skills and qualifications needed to thrive as a remote Azure data scientist?

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 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.

How much do remote azure data scientists make?

Remote Azure Data Scientists typically earn between $90,000 and $140,000 annually, depending on experience, location, and certifications. Salaries can vary based on industry, company size, and specific skill sets such as proficiency with Azure Machine Learning and Python.
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Remote Azure Data Scientist jobs near you
Infographic showing various Remote Azure Data Scientist job openings in the United States as of September 2026, with employment types broken down into 1% Internship, 1% As Needed, 84% Full Time, 11% Part Time, and 3% Contract. Highlights an 85% Physical, 3% Hybrid, and 12% Remote job distribution, with an average salary of $165,018 per year, or $79.3 per hour.

Data Scientist

Bethesda, MD • On-site, Remote

Econometrica
Scientific Research and Development Services • 51 - 200 employees
Learn more about Econometricaexternal

Full-time

Medical, Dental, Vision, Retirement

Posted 14 days ago

Job description

Job Title
Data Scientist
Job Type
Full-time
Location
Bethesda Office - Bethesda, MD 20814 US (Primary)
Remote (Virtual) - US - US
Travel
Job Description
About Econometrica, Inc.
Econometrica, Inc., is a research and management organization committed to providing high-quality, cost-effective economic and analytical services for clients in the private and public sectors. Since its founding in 1998, Econometrica has been involved in complex, high-profile contracts for numerous Federal departments and agencies in the healthcare, education, transportation, energy, housing, and finance sectors. Econometrica specializes in research, econometric, analytical, and technical support for our clients, with an emphasis on data science, data analytics, statistics, economic analyses, and program implementation and evaluation services.
The Opportunity
Econometrica is seeking an experienced Data Scientist to support advanced data analytics services for various Federal agencies. The selected candidate will work alongside a multidisciplinary team of data scientists, data engineers, and stakeholders to design, implement, and maintain fraud identification methods and communicate results to technical and non-technical stakeholders.
Tasks may include the following:
  • Designing, implementing, and maintaining advanced AI systems and predictive models to identify financial fraud, improper payments, or non-compliance.
  • Developing and testing regression, classification, Bayesian, clustering, and ensemble models to identify anomalies, patterns, and predictive variables within large, complex datasets.
  • Performing data quality analysis on source tables to identify abnormalities or inconsistencies and developing repeatable processes for efficiently combining and analyzing large, structured and unstructured data sources.
  • Collaborating closely with criminal investigators to determine and execute analytical strategies supporting fraud investigations, while adhering to federal rules of criminal procedure governing protected information.
  • Integrating and scaling natural language processing (NLP) techniques-including OCR, semantic similarity algorithms, and large language models-to parse, clean, and analyze large corpora of unstructured or semi-structured text.
  • Manipulating and preparing data using Python and Pandas, including aggregating, merging, partitioning, and reshaping datasets in preparation for machine learning workflows.
  • Developing visualizations and dashboards to demonstrate methodological choices, outcomes, and predictive capabilities of machine learning models, and iteratively incorporating end-user feedback.
  • Documenting methodology, test models, and production models in compliance with evidentiary and recordkeeping requirements and preparing plain-language reports and executive summaries for both technical and non-technical audiences.
  • Working within modern cloud environments (Azure, AWS, or GCP) and coordinating with the Data Engineering team to ensure system architecture efficiently supports deployed machine learning models.
  • Creating programming and automation techniques (e.g., using Python, SQL, Power BI, Power Apps, and SharePoint) to improve analytic efficiency and expand the scope of analysis and reporting.

Education and Qualifications
Required Skills and Experience:
  • Five (5) or more years of hands-on experience designing, implementing, and maintaining advanced AI systems and predictive models, including both supervised and unsupervised methods.
  • Five (5) or more years of hands-on experience developing analytic rules and models using leading-edge analytic tools and best practices.
  • Five (5) or more years of hands-on experience developing regression, classification, and other statistical models to identify anomalies, patterns, and predictive variables.
  • Three (3) or more years of hands-on experience providing data support for criminal investigations into financial fraud or abuse of government funds.
  • Three (3) or more years of hands-on experience manipulating data in Python, with required proficiency in Pandas.
  • Three (3) or more years of hands-on experience working in a modern cloud environment (Azure, AWS, or GCP).
  • Two (2) or more years of hands-on experience conducting advanced data analysis in SQL (SQL Server and PostgreSQL).
  • Two (2) or more years of hands-on experience developing and scaling NLP solutions.
  • Two (2) or more years of hands-on experience presenting methods and findings to both technical and non-technical stakeholders, orally and in written products and visualizations.
  • Ability to work effectively in a multidisciplinary team setting and to develop effective relationships with clients, consultants, and contractors.
  • Strong oral and written communication skills.
  • Ability to obtain and maintain public trust security clearance.

Desired Skills and Experience:
  • Experience integrating large language models (LLMs) and generative AI tools into analytics workflows.
  • Experience developing production-grade machine-learning workflows, including model validation, calibration, monitoring, versioning, retraining, and documentation.
  • Experience with Azure Synapse Analytics, Azure Machine Learning, and Azure Data Lake Storage.
  • Certifications in cloud architecture, data science, machine learning, or related disciplines (Azure preferred).
  • Experience creating Power BI dashboards, visualizations, network graphs, interactive maps, or other forms of analytical storytelling.
  • Experience working on projects in a consulting environment, particularly supporting audits, investigations, or federal law enforcement.

Additional requirements for the position could involve occasional travel relevant to the responsibilities noted above.
Education
Master's or doctorate-level degree in data science, machine learning, computer science, mathematics, or a related field; OR ten (10) years of applied work experience in one of the same fields.
Our Generous Benefits Package Includes:
  • Being part of a dynamic research group that continues to grow.
  • Company-sponsored healthcare plan and optional vision/dental coverage.
  • Excellent training and development opportunities.
  • Referral bonuses.
  • 401(k) program.
  • Organized social activities.
  • Metro SmartBenefits® Program.

Work Environment
This position is remote, though candidates may choose to work in Econometrica's office.
The office is located at a Metro stop in beautiful downtown Bethesda, MD, within walking distance of great restaurants and local fare. We have a typical office setting with a quiet to moderate noise level.
Physical Requirements
The physical requirements are representative of those an employee encounters while performing the essential functions of this job. Reasonable accommodations may be made to enable individuals with disabilities to perform the essential functions.
The above job description is not intended to be an all-inclusive list of duties and standards of the position. Other instructions and related duties may be assigned by the employee's supervisor.
Econometrica, Inc., is an Equal Opportunity Employer (EOE), and we seek to create an inclusive workplace that embraces diverse backgrounds, life experiences, and perspectives.

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