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Summer Data Analyst Machine Learning Jobs (NOW HIRING)

Analyze data from different sources and provide actionable insights to business and engineering ... Summer Fridays & Team building events Skills and requirements: * 2+ years of relevant experience in ...

This role will focus on building ML-ready data architectures, developing scalable machine learning solutions, and supporting enterprise analytics initiatives. The ideal candidate will possess hands ...

Machine Learning Data Engineer

Cupertino, CA · On-site

$141K - $169K/yr

Experience in data analysis, data engineering, and machine learning data operations.Experience designing data quality control processes, data curation workflows, or Human-in-the-Loop initiatives.

WV · On-site

Data Analytics, Datasets, Machine Learning (ML) Certifications: None Experience: 8 + years of related experience US Citizenship Required: Yes GDIT is seeking a Data Analyst Principal to support its ...

New

Analyze and extract key insights from rich stores of customer data * Research and implement ML ... Machine learning (ML) algorithms * Predictive modeling and analysis * Data visualization software ...

The role requires the application of advanced analytical techniques, including machine learning ... The Data Analyst will collaborate with planners, analysts, and subject matter experts to develop ...

The role requires the application of advanced analytical techniques, including machine learning ... The Data Analyst will collaborate with planners, analysts, and subject matter experts to develop ...

If you want to know more about Big Data, artificial intelligence or machine learning and how they ... We have flexible hours and intensive working hours during the summer months. In addition, you can ...

We are looking for a curious and innovative Machine Learning Engineer to explore, experiment and build AI driven solutions that analyze customer journey and go to market data. The ideal candidate ...

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Summer Data Analyst Machine Learning information

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$34K

$82.6K

$136K

How much do summer data analyst machine learning jobs pay per year?

As of Jun 23, 2026, the average yearly pay for summer data analyst machine learning in the United States is $82,640.00, according to ZipRecruiter salary data. Most workers in this role earn between $62,500.00 and $97,000.00 per year, depending on experience, location, and employer.

What is the difference between Summer Data Analyst Machine Learning vs Summer Data Analyst Data Visualization?

AspectSummer Data Analyst Machine LearningSummer Data Analyst Data Visualization
Required SkillsStatistical analysis, programming (Python/R), machine learning algorithmsData interpretation, visualization tools (Tableau, Power BI), storytelling
Work EnvironmentResearch-focused, model development, algorithm tuningReporting, dashboard creation, presenting insights
Common Industry UsageTech, finance, healthcareMarketing, consulting, business intelligence

While both roles involve analyzing data, Summer Data Analyst Machine Learning focuses on developing predictive models and algorithms, whereas Summer Data Analyst Data Visualization emphasizes creating visual reports and dashboards to communicate insights effectively.

What cities are hiring for Summer Data Analyst Machine Learning jobs? Cities with the most Summer Data Analyst Machine Learning job openings:
What are the most commonly searched types of Data Analyst Machine Learning jobs? The most popular types of Data Analyst Machine Learning jobs are:
What states have the most Summer Data Analyst Machine Learning jobs? States with the most job openings for Summer Data Analyst Machine Learning jobs include:
Data Analyst

Other

Posted 14 days ago


Job description

Position Title: Data Analyst

Location: Arlington, VA (Remote)

Clearance Level: Secret

Responsibilities will include, but are not limited to:

  • Analyze military operational data to identify trends, patterns, and anomalies that can inform strategic decision-making.
  • Clean, and preprocess large datasets related to Army operations, logistics, personnel, and intelligence for analysis.
  • Develop dashboards and reports to visualize key performance indicators and metrics for Army leadership.
  • Perform geospatial analysis to support mission planning, resource allocation, and situational awareness.
  • Conduct data mining and exploratory data analysis to extract insights from diverse military datasets.

Required qualifications

  • Bachelor’s Degree in related field of study or equivalent experience.
  • Minimum of three years of experience, one within DoD, working with big-data systems and developing production-level data models.
  • Possess skills and expertise in machine learning tools to select features, create, and optimize classifiers.
  • Possess demonstrable collegiate-level writing skills, demonstrated familiarity with the U.S. Army organization and regulations, and strong organization and communication skills.
  • Have a strong data science, machine learning, and statistical modeling background.
  • Communicate complex technical findings to a variety of audiences.
  • Demonstrate practical experience substantiating equivalent skills such as Structured Query Language, Microsoft Excel, R or Python statistical programming, Data Visualization, and Presentation Skills. Prior knowledge of Power BI, Tableau, and Advana data science is preferred.