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Summer Data Optimization Jobs in Washington, DC (NOW HIRING)

Wyetech

Data Scientist 3

Linthicum, MD · On-site

$89.54 - $174.96/hr

... monitoring, workflow optimization, and timely delivery of security insights. Required ... Various team-building events throughout the year such as: monthly lunches, summer company picnic ...

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All JobsSummer Data Optimization JobsSummer Data Optimization Jobs in Washington, DC

Summer Data Optimization information

See Washington, DC salary details

$11

$66

$94

How much do summer data optimization jobs pay per hour?

As of Aug 24, 2026, the average hourly pay for summer data optimization in Washington, DC is $66.50, according to ZipRecruiter salary data. Most workers in this role earn between $59.62 and $77.31 per hour, depending on experience, location, and employer.

What is a summer data optimization?

A Summer Data Optimization job typically involves working on projects that improve the efficiency and effectiveness of data management and analysis processes during the summer months. This role may include tasks like cleaning and organizing large datasets, analyzing data trends, optimizing data pipelines, and supporting decision-making with actionable insights. These positions are often internships or temporary roles aimed at students or recent graduates interested in data science, analytics, or engineering. The experience provides hands-on exposure to data tools and optimization techniques, helping candidates build valuable skills for future careers in data-driven fields.

What types of projects or tasks can I expect to work on as a summer data optimization intern?

As a Summer Data Optimization intern, you can expect to work on projects that involve cleaning, analyzing, and optimizing large datasets to improve business processes or inform decision-making. Typical tasks include identifying data quality issues, developing scripts to automate data workflows, and collaborating with analysts or engineers to implement solutions. You may also participate in team meetings to discuss project goals and present your findings. This role provides a great opportunity to develop technical skills while gaining exposure to real-world data challenges.

What are the key skills and qualifications needed to thrive as a summer data optimization analyst, and why are they important?

To excel as a Summer Data Optimization Analyst, you need strong analytical skills, a background in statistics or data science, and proficiency with data manipulation—often supported by coursework in related fields. Familiarity with technical tools like SQL, Python, Excel, and data visualization platforms such as Tableau is typically required. Strong attention to detail, problem-solving abilities, and effective communication skills help you interpret data and convey insights to stakeholders. These skills ensure accurate, actionable analysis that drives business improvements during time-sensitive summer projects.

What is the difference between Summer Data Optimization vs Summer Data Analyst?

AspectSummer Data OptimizationSummer Data Analyst
CredentialsBachelor's in Data Science, Computer Science, or related fieldBachelor's in Data Science, Statistics, or related field
Work EnvironmentData-focused projects, often in tech or consulting firmsData analysis, reporting, and visualization tasks in various industries
Employer & IndustryTech companies, consulting firms, finance, and marketing agenciesCorporate, finance, healthcare, and retail sectors

Summer Data Optimization typically focuses on improving data processes, cleaning, and enhancing data quality, while Summer Data Analysts primarily analyze data sets to generate insights and reports. Both roles require similar educational backgrounds but differ in their core responsibilities and project focus.

Summer Data Optimization jobs near you

Data Scientist / ML Engineer

KSA Integration

Washington, DC • On-site

Full-time

Medical, Dental, Vision, Retirement, PTO

Re-posted 21 days ago

Job description

KSA Integration is a Service-Disabled Veteran-Owned Small Business (SDVOSB) that provides business and management solutions through three core capabilities: (1) data analytics, (2) comprehensive veterans support, and (3) business process improvement. We are a rapidly growing government contractor that has built a reputation on focused customer service, on-time performance, and continuous improvement. To demonstrate this, KSA has been awarded the Inc. Best Workplaces, a prestigious list of businesses recognized for value placed on company culture, standout worker benefits, and the prioritization of employee well-being every year from 2019 to 2025. KSA also earned recognition on the Best for Vets List by Military Times from 2019 to 2025 and garnered the Department of Labor "Hire Vets" Platinum Medallion Award from 2021 to 2025.
Position Overview: KSA Integration is seeking a Data Scientist / ML Engineer to support the Marine Corps Logistics Plans (LP) Division's data management, analytics, and artificial intelligence initiatives. This role directly supports Data Management & Analytics and AI Capability Development. You will design and deploy AI/ML solutions that transform how the Marine Corps manages logistics data, predicts readiness, and automates decision-making.
This Position is Contingent Upon Award
Anticipated Start Date: Summer 2026
Support Hours: Applicant shall be available during core work hours as established by the Government customer.
Benefits:
  • Medical, Dental, Vision (82% of employees' premiums paid by the company, 25% towards dependents)
  • HSA / FSA Medical Plans
  • PTO
  • Flexible Work Environment and Encourage Work/Life Balance
  • 401K with Company Match
  • Observes all federal holidays
  • Professional Development/Tuition Reimbursement Program
  • Annual Career Development Process

Job Type: Full-time/Exempt
Location: Pentagon / National Capital Region (Hybrid)
Clearance Required: Active Secret
Travel Requirement: Approximately 10%
Position Responsibilities:
  • Design, develop, and deploy machine learning models and AI solutions for Marine Corps logistics applications.
  • Build predictive models for readiness forecasting, supply chain optimization, and maintenance planning.
  • Develop and maintain data pipelines, dashboards, and analytics platforms for enterprise logistics data.
  • Integrate AI/ML solutions into existing Marine Corps logistics systems and workflows.
  • Collaborate with government stakeholders to define data management goals and analytics strategies.
  • Conduct statistical analysis on complex datasets to identify trends, patterns, and actionable insights.
  • Support data governance frameworks, including data quality, privacy, security, and accessibility standards.
  • Develop best practices documentation for ML systems and train government users on AI tools.
  • Work within secure DoW computing environments (NIPR/SIPR).

Requirements
  • 5+ years of experience in data science, machine learning, or AI engineering.
  • Proficiency in Python, R, or equivalent - hands-on experience with TensorFlow, PyTorch, scikit-learn, or similar ML frameworks.
  • Experience building and deploying ML models in production environments.
  • Strong skills in data engineering: SQL, data pipelines, ETL processes, and cloud/on-prem data platforms.
  • Experience with data visualization tools (Tableau, Power BI, Matplotlib, Plotly).
  • Familiarity with DoW data environments, ADVANA, or military logistics data systems a strong plus.
  • Experience with the Torch.AI Nexus platform or UNACORN analytics environment a plus.
  • Understanding of responsible AI principles, model governance, and DoW AI ethics frameworks.
  • BA/BS in Computer Science, Data Science, Statistics, Mathematics, or related field required; MS preferred.

Preferred Skills/Experience:
  • Prior work experience supporting the Marine Corps programs.

KSA Integration is an equal opportunity employer.

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