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Data Scientist 2025 Grad Jobs in Silver Spring, MD

Vantor

Data Scientist

Reston, VA · On-site

The Data Scientist role focuses on developing accurate, scalable data solutions that provide ... Founded in 2025, the company is headquartered in Denver, USA, with a team of 1001-5000 employees.

Vantor

Data Scientist

Reston, VA · On-site

They are seeking a Data Scientist to provide critical analytic insights to government stakeholders ... Founded in 2025, the company is headquartered in Denver, USA, with a team of 1001-5000 employees.

Axle

Associate Director of AI and Data

Rockville, MD · On-site

$60K - $60K/yr

Responsibilities : • Architect and execute a comprehensive AI/ML strategy that aligns Axle's technical capabilities with the NIH Strategic Plan for Data Science (2025-2030). • Spearhead the ...

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All JobsData Scientist 2025 Grad JobsData Scientist 2025 Grad Jobs in Silver Spring, MD

Data Scientist 2025 Grad information

See Silver Spring, MD salary details

$38.8K

$126.9K

$203.1K

How much do data scientist 2025 grad jobs pay per year?

As of Jul 27, 2026, the average yearly pay for data scientist 2025 grad 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 types of projects or tasks can a Data Scientist 2025 Grad expect to work on in their first year?

As a Data Scientist 2025 Grad, you can expect to work on a variety of projects such as building predictive models, cleaning and analyzing large datasets, conducting exploratory data analysis, and creating dashboards or visualizations to communicate insights. You will likely collaborate with cross-functional teams including business analysts, engineers, and product managers to align data-driven solutions with organizational goals. Many entry-level data scientists also participate in pilot projects or contribute to ongoing research and development initiatives, allowing them to gain exposure to different business areas. This hands-on experience helps build technical expertise and a broad understanding of data science applications across the organization.

What are the key skills and qualifications needed to thrive in the Data Scientist 2025 Grad position, and why are they important?

To thrive as a Data Scientist 2025 Grad, you need a strong analytical background in statistics, programming skills in languages like Python or R, and a relevant degree in computer science, mathematics, or a related field. Familiarity with machine learning libraries (such as scikit-learn or TensorFlow), data visualization tools, and cloud computing platforms is often expected, along with certifications in data science or analytics being a plus. Critical thinking, communication, and the ability to work collaboratively are valuable soft skills that set candidates apart. These competencies are essential for effectively interpreting complex data, delivering actionable insights, and driving impactful business solutions.

What is a Data Scientist 2025 Grad job?

A Data Scientist 2025 Grad job is an entry-level position designed for students graduating in 2025 with a degree in data science, computer science, statistics, or a related field. This role typically involves analyzing large datasets, building machine learning models, and deriving insights to support business decisions. Candidates are expected to have strong programming skills in languages like Python or R, experience with data visualization tools, and an understanding of statistical and machine learning techniques. Many companies offer these roles as part of new graduate programs, providing mentorship and training opportunities.

What are popular job titles related to Data Scientist 2025 Grad jobs in Silver Spring, MD? For Data Scientist 2025 Grad jobs in Silver Spring, MD, the most frequently searched job titles are:
What job categories do people searching Data Scientist 2025 Grad jobs in Silver Spring, MD look for? The top searched job categories for Data Scientist 2025 Grad jobs in Silver Spring, MD are:
What cities near Silver Spring, MD are hiring for Data Scientist 2025 Grad jobs? Cities near Silver Spring, MD with the most Data Scientist 2025 Grad job openings:
Data Scientist 2025 Grad jobs near you
Infographic showing various Data Scientist 2025 Grad job openings in Silver Spring, MD as of July 2026, with employment types broken down into 1% As Needed, 84% Full Time, 11% Part Time, 1% Temporary, and 3% Contract. Highlights an 88% Physical, 3% Hybrid, and 9% Remote job distribution, with an average salary of $126,884 per year, or $61 per hour.

Data Scientist

Vantor

Reston, VA • On-site

Full-time

Posted 6 days ago

Job description

Job Summary:
Vantor is forging the new frontier of spatial intelligence, helping decision makers and operators navigate what’s happening now and shape what’s coming next. The Data Scientist role focuses on developing accurate, scalable data solutions that provide critical analytic insights to government stakeholders, impacting national security objectives by transforming complex data into actionable intelligence.
Responsibilities:
• Automate and maintain data extraction, cleaning, processing, and analysis workflows using Python, SQL, and ETL tools under established best practices.
• Process and analyze structured and unstructured datasets using big data or cloud-native frameworks (e.g., Spark, Hadoop, or managed cloud services).
• Develop, test, and evaluate predictive models and statistical analyses to support mission-focused use cases.
• Contribute to end-to-end data science and data engineering workflows, from data preparation and feature engineering through model development and results delivery, with guidance from senior team members as needed.
• Write clear, well-structured documentation of methods, assumptions, and results; assist with briefings or presentations to technical and non-technical stakeholders.
• Support the use of Large Language Models (LLMs) within existing systems and workflows, including:
• Implementing LLM-based solutions for summarization, tagging, classification, and information retrieval.
• Integrating pre-trained LLMs into pipelines to improve knowledge discovery and data accessibility.
• Assisting with deployment and evaluation of internal LLM-enabled tools or assistants.
• Collaborate closely with data scientists, engineers, analysts, and mission partners to refine requirements and iterate on solutions.
Qualifications:
Required:
• Current/active TS/SCI security clearance and be willing and able to obtain CI polygraph.
• 5 years of professional experience in data science, analytics, or data engineering roles.
• Bachelor’s degree in data science, computer science, engineering, statistics, GIS, or related discipline. Degree may be substituted with an additional 2 yrs of experience.
• Strong coding proficiency in Python and SQL, with experience writing production-quality, maintainable code; working knowledge of R is a plus.
• Hands-on experience with data manipulation, feature engineering, machine learning libraries (e.g., scikit-learn, PyTorch, TensorFlow), and automation tools.
• Experience contributing to full-cycle data projects, including data preparation, modeling, validation, and reporting.
• Ability to clearly communicate technical concepts and analytical results in writing and verbally.
• Familiarity with NLP and LLM concepts, including practical experience applying pre-trained models (e.g., GPT-style models) for automation, summarization, or search.
• Ability to work effectively in a collaborative environment, taking direction and feedback while owning assigned technical tasks.
Preferred:
• Master’s degree in data science, computer science, statistics, engineering, or a related technical field.
• Experience with cloud-based environments (e.g., AWS, Azure, or GCP) and scalable data processing pipelines.
• Working knowledge of NLP techniques, embeddings, vector search, or retrieval-augmented generation (RAG).
• Experience integrating LLMs into applications or workflows using APIs and open-source tooling.
• Exposure to CI/CD, version control, testing frameworks, and software engineering best practices.
• Interest in responsible AI principles, model evaluation, and risk-aware deployment of LLM-based solutions.
Company:
A spatial intelligence firm. Founded in 2025, the company is headquartered in Denver, USA, with a team of 1001-5000 employees. The company is currently Late Stage.

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