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Internship Azure Data Scientist Jobs in Virginia

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 ...

Red Cedar Consultancy

Data Scientist IV

Mclean, VA · On-site

$120 - $180/hr

Experience with Azure Machine Learning and/or Databricks. * Experience with Army Sustainment Data ... Science / ML Certification (Microsoft, AWS) or other relevant certifications. #J-18808-Ljbffr

Venturegloballng

Senior Data Scientist

Arlington, VA

$180K - $230K/yr

Senior Data Scientist Located: Arlington Summary The Senior Data Scientist is responsible for ... Experience with Azure infrastructure especially Azure Data Lake and Azure Data Factory.

New

RecruitTalent LLC.

Data Scientist

Fredericksburg, VA · On-site

$60 - $70/hr

Implement ETL processes and maintain scalable data storage on cloud platforms such as AWS, Azure ... Bachelor's or Master's degree in Data Science, Computer Science, Statistics, Engineering, or ...

Laksan Technologies

Data Scientist

Richmond, VA · On-site

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 ...

S Linx LLC

Azure Data Consultant

Reston, VA · On-site

Azure Data Warehouse, Azure Logic Apps, Azure Functions, Azure Data Factory, SQL Server Minimum Requirements: · Bachelor's degree in a quantitative or scientific field such as computer science ...

Steampunk

Data Scientist

Mclean, VA · On-site

$125K - $160K/yr

The Data Scientist will contribute to the full lifecycle of model development, from data ... Familiarity with cloud data and ML platforms such as AWS, Azure, GCP, or Databricks. * Strong ...

Beyond SOF

Data Scientist 4

Richmond, VA · On-site

$90 - $140/hr

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 ...

Beyond SOF

Data Scientist 4

Richmond, VA · On-site

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 ...

Steampunk

Data Scientist

Mclean, VA · On-site

$125K - $160K/yr

Familiarity with cloud data and ML platforms such as AWS, Azure, GCP, or Databricks. * Strong ... Databricks Data Scientist Associate, AWS ML Specialty, Azure Data Scientist Associate, Google ...

Steampunk

Data Scientist

Mclean, VA · On-site

$125K - $160K/yr

The Data Scientist will contribute to the full lifecycle of model development, from data ... Familiarity with cloud data and ML platforms such as AWS, Azure, GCP, or Databricks. * Strong ...

Phase2 Technology

Data Scientist, Mid

Springfield, VA · On-site

$77.60 - $176/hr

Experience with cloud‑native ML platforms such as AWS SageMaker or Azure ML. * Experience ... Azure Data Scientist Associate, AWS Machine Learning Specialty, or TensorFlow Developer ...

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Internship Azure Data Scientist information

What is an internship Azure Data Scientist?

An Internship Azure Data Scientist is an entry-level or student role that involves working with data science tools and techniques on Microsoft Azure's cloud platform. Interns in this position typically assist with data analysis, machine learning model development, and data pipeline creation using Azure services such as Azure Machine Learning, Data Factory, and Databricks. The internship provides hands-on experience with cloud-based data science workflows and helps interns build practical skills for a career in data science. Responsibilities may include cleaning and preparing data, training models, and visualizing results to support business decisions. This role is ideal for students or recent graduates interested in cloud computing and analytics.

What types of projects and responsibilities can I expect as an internship Azure Data Scientist?

As an Azure Data Scientist intern, you'll typically work on data-driven projects such as developing machine learning models, preparing and cleaning datasets, and performing exploratory data analysis using Microsoft Azure tools. You'll likely collaborate closely with data engineers, software developers, and senior data scientists to integrate solutions into cloud environments. Interns often participate in regular team meetings, present findings, and may contribute to optimizing existing data pipelines. This hands-on experience provides a strong foundation for a future career in cloud-based data science roles.

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

To thrive as an Internship Azure Data Scientist, you need foundational knowledge in statistics, data analysis, and programming languages such as Python or R, often supported by coursework or a degree in a STEM field. Familiarity with Microsoft Azure cloud services, data modeling tools, and machine learning frameworks is typically expected, and certifications like Microsoft Certified: Azure Data Scientist Associate can be beneficial. Strong problem-solving abilities, eagerness to learn, and effective communication skills help interns collaborate and convey technical findings clearly. These skills ensure interns can contribute meaningfully to data-driven projects while adapting quickly to the evolving demands of cloud-based analytics environments.

What is the difference between Internship Azure Data Scientist vs Data Analyst Intern?

AspectInternship Azure Data ScientistData Analyst Intern
Required SkillsAzure cloud services, basic data science, programming (Python, R), machine learning fundamentalsData visualization, SQL, Excel, basic statistical analysis
Work EnvironmentTech companies, cloud-focused teams, project-basedBusiness teams, reporting, data cleaning and analysis
CertificationsAzure Fundamentals, basic data science coursesNone typically required, basic Excel/SQL knowledge

Internship Azure Data Scientist roles focus on applying machine learning and cloud-based data science techniques using Azure services, often in tech or cloud-centric environments. Data Analyst Interns primarily handle data cleaning, visualization, and reporting tasks within business contexts. While both roles require foundational data skills, Azure Data Scientist internships emphasize cloud and machine learning expertise, whereas Data Analyst Internships focus on data interpretation and presentation.

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

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

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

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

What job categories do people searching Internship Azure Data Scientist jobs in Virginia look for?

The top searched job categories for Internship Azure Data Scientist jobs in Virginia are:

What cities in Virginia are hiring for Internship Azure Data Scientist jobs?

Cities in Virginia with the most Internship Azure Data Scientist job openings:

Internship Azure Data Scientist jobs near you

Data Scientist

NAVA Software Solutions

Merrifield, VA • On-site

Contractor

Re-posted 19 days ago

Job description

NAVA Software solutions is looking for a Data Scientist
Details:
Data Scientist
Location: Merrifield, VA(Hybrid)
Duration: 12 Months Contract
Responsibilities:
  • Advanced skill in descriptive, predictive, and prescriptive analytics and modeling; demonstrated success in building models that are deployed and have made measurable business impact
  • Significant experience in using two or more of the following modeling types to solve business problems: classification, regression, time series, clustering, text analytics, survival, association, optimization, reinforcement learning
  • Advanced knowledge of advanced techniques such as: dimension reduction techniques, natural language processing, sentiment analysis, anomaly detection, geospatial analytics, etc.
  • Demonstrates a deep understanding of the modeling lifecycle
  • Advanced skill data mining, data wrangling, and data transformation with both structured and unstructured data; deep understanding of data models
  • Advanced skill interpreting, extrapolating, and interpolating data for statistical research and modeling
  • Advanced skill in Data Interpretation, Qualitative and Quantitative Analysis
  • Advanced skill in Python and R
  • Advanced skill in SQL and querying (able to pull/transform your own data)
  • Advanced knowledge of cloud computing technologies such as: Apache Spark, Azure Data Factory, Azure DevOps, Azure ML (Machine Learning), Hadoop, Microsoft Azure, Databricks, AWS, Google Cloud
  • Understanding of data models, large datasets, business/technical requirements, BI tools, statistical programming languages and libraries
  • Familiar with Data Engineering concepts
  • Familiar with the use of standard ETL tools and techniques
  • Familiar with the concepts and application of data mapping and building requirements
  • Demonstrates a deep understanding of multiple data related concepts
  • Familiar with Data Integration, Data Governance and Data Warehousing
  • Advanced skill in Data Management, Data Validation & Cleansing and Information Analysis

Desired Qualifications and Education Requirements:
All Data Scientist Roles
  • Doctoral degree in Statistics, Mathematics, Computer Science, Engineering or another quantitative field, or related field
  • Familiar with project management concepts and frameworks such as Agile Frameworks (SAFE), Communication Strategy and Management, Delivery Excellence and Requirements management
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About NAVA Software Solutions

Sourced by ZipRecruiter

NAVA is a strategic partner for companies seeking to develop or customize software and products. Our team of experts leverages cutting-edge technology and deep industry knowledge to provide customized solutions that drive business success. Whether you're looking to improve your operations, increase efficiency, or bring a new product to market, NAVA has the expertise and resources to help you achieve your goals. Trust us to be your partner in software and product development.

Industry

It services

Company size

51 - 200 Employees

Headquarters location

Rocky Hill, CT, US

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