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Data Science Co Op Jobs in Silver Spring, MD (NOW HIRING)

Associate Director of Data Science

Columbia, MD · On-site +1

$58K - $59K/yr

Company Description Blend is a premier AI services provider, committed to co-creating meaningful impact for its clients through the power of data science, AI, technology, and people. With a mission ...

Summer/Co-op Engineer

Alexandria, VA · On-site

$1.0K - $1.4K/wk

Materials Science * Instrumentation & Controls * Civil/Structural * Software Engineering We offer ... Asset Management and Business Operations Improvement including data analytics, automation, machine ...

Company Description Blend is a premier AI services provider, committed to co-creating meaningful impact for its clients through the power of data science, AI, technology, and people. With a mission ...

Company Description Blend is a premier AI services provider, committed to co-creating meaningful impact for its clients through the power of data science, AI, technology, and people. With a mission ...

Company Description Blend is a premier AI services provider, committed to co-creating meaningful impact for its clients through the power of data science, AI, technology, and people. With a mission ...

Data Scientist

Arlington, VA · On-site

$80 - $100/hr

Bachelor of Science degree in a relevant field (statistics, business, computer science, economics ... Contribute to meetings and discussions with clients and co-workers to refine understanding of the ...

You will co-author research proposals, execute studies, and present findings to DoW sponsors and at ... If you are a data science or statistics expert with an interest in cybersecurity, we want to hear ...

Data Scientist

Chantilly, VA · On-site

$135K - $180K/yr

This role requires strong technical proficiency in data science tools and methodologies, a passion ... Collaborate effectively across multidisciplinary teams, including co-located and geographically ...

Data Scientist

Chantilly, VA · On-site

$135K - $180K/yr

This role requires strong technical proficiency in data science tools and methodologies, a passion ... Collaborate effectively across multidisciplinary teams, including co-located and geographically ...

Showing results 21-40

Data Science Co Op information

See Silver Spring, MD salary details

$38.8K

$126.9K

$203.1K

How much do data science co op jobs pay per year?

As of Aug 22, 2026, the average yearly pay for data science co op in Silver Spring, MD is $126,884.00, according to ZipRecruiter salary data. Most workers in this role earn between $101,800.00 and $140,600.00 per year, depending on experience, location, and employer.

What is a data science co op?

A Data Science Co-Op is a temporary, structured work experience program for students or early-career professionals to apply data science skills in a real-world setting. Co-Ops typically last several months and involve tasks such as data analysis, machine learning model development, and visualization. Participants work closely with data teams, gaining hands-on experience with tools like Python, SQL, and cloud platforms. Unlike internships, Co-Op positions may be full-time for a semester and often offer deeper engagement with projects. This experience helps build technical skills, industry knowledge, and professional connections for future career opportunities.

What kinds of projects or tasks can I expect to work on as a data science co op?

As a Data Science Co Op, you may be involved in a variety of projects such as data cleaning, exploratory data analysis, building predictive models, or generating data visualizations to support business decisions. You’ll often work alongside more experienced data scientists, analysts, and cross-functional teams to collaboratively solve real-world problems using data. This role typically emphasizes hands-on learning and practical application of analytical techniques, offering a great opportunity to develop your technical and communication skills. In addition, you may participate in regular meetings, present findings, and contribute to ongoing research or product development initiatives.

What are the key skills and qualifications needed to thrive in the data science co op position, and why are they important?

To succeed as a Data Science Co Op, you should have a solid understanding of statistics, data analysis, and programming, typically gained through coursework or relevant experience in computer science, mathematics, or related fields. Familiarity with tools such as Python or R, SQL databases, and data visualization libraries is highly valuable, and experience with machine learning platforms or certifications can be advantageous. Effective communication, problem-solving, and a collaborative mindset help you excel in team-oriented, fast-paced environments. These competencies are crucial for analyzing complex datasets, delivering actionable insights, and supporting business decision-making.

What are the most commonly searched types of Data Science jobs in Silver Spring, MD?

The most popular types of Data Science jobs in Silver Spring, MD are:

What job categories do people searching Data Science Co Op jobs in Silver Spring, MD look for?

The top searched job categories for Data Science Co Op jobs in Silver Spring, MD are:

What cities near Silver Spring, MD are hiring for Data Science Co Op jobs?

Cities near Silver Spring, MD with the most Data Science Co Op job openings:

Infographic showing various Data Science Co Op job openings in Silver Spring, MD as of July 2026, with employment types broken down into 63% Full Time, and 37% Part Time. Highlights an 85% In-person, and 15% Remote job distribution, with an average salary of $126,884 per year, or $61 per hour.

Associate Director of Data Science

Blend360

Columbia, MD • On-site, Remote

$58K - $59K/yr

Full-time

Re-posted yesterday


Job description

Company Description
Blend is a premier AI services provider, committed to co-creating meaningful impact for its clients through the power of data science, AI, technology, and people. With a mission to fuel bold visions, Blend tackles significant challenges by seamlessly aligning human expertise with artificial intelligence. The company is dedicated to unlocking value and fostering innovation for its clients by harnessing world-class people and data-driven strategy. We believe that the power of people and AI can have a meaningful impact on your world, creating more fulfilling work and projects for our people and clients. For more information, visit www.blend360.com
Job Description
We are seeking a highly skilled and experienced Data Scientust to join our team. In this pivotal role, you will lead our data science initiatives, driving innovation and delivering data-driven insights to support strategic decision-making across the organization.
  • Lead the delivery of AI and data science projects, managing a team of 4-5 developers and data scientists.
  • Design and implement AI solutions leveraging advanced techniques, including prompt engineering, agentic architectures, RAG, computer vision, predictive modeling, deep learning, and optimization.
  • Collaborate with stakeholders to translate business requirements into scalable data science solutions.
  • Ensure high-quality project execution, including architecture design, solution validation, deployment, and CI/CD management.
  • Mentor and guide team members, fostering growth and knowledge sharing.
  • Communicate complex technical concepts effectively to both technical and non-technical stakeholders.
  • Maintain oversight of project timelines, resource allocation, and risk management.

Qualifications
  • 8-10 years of professional experience in Data Science, including 2-3 years in a Delivery Lead or Team Lead capacity.
  • Strong expertise in AI, including prompt engineering, agentic architectures, RAG, and computer vision.
  • Proven experience in predictive modeling, deep learning, optimization, algorithm design, and solution architecture.
  • Hands-on programming experience with Python and SQL.
  • Demonstrated leadership and team management skills.
  • Excellent problem-solving, project delivery, and business communication abilities.

Preferred Qualifications:
  • Domain knowledge in civil engineering, manufacturing, structural engineering, or mechanical/industrial engineering.
  • Project management experience and familiarity with Azure cloud infrastructure.
  • Experience with software deployment, quality assurance, CI/CD pipelines, and release cycle management.

Why Join Us:
  • Opportunity to lead cutting-edge AI projects across diverse industries.
  • Work with a collaborative, high-performing team of data scientists and engineers.
  • Influence the strategic direction of AI initiatives within the organization.

Additional Information