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Immediately Hiring Data Science Jobs in Virginia

Darkhorse Geospatial LLC

Data Scientist

Falls Church, VA · On-site

$120 - $180/hr

Darkhorse Geospatial is hiring Data Scientists to turn complex, high-volume data into mission-ready intelligence for our federal customer. You'll build analytics, AI/ML models, and data pipelines ...

Tecolote Research

Senior Data Scientist

Chantilly, VA · On-site

$130K - $160K/yr

The position is immediately available for qualified candidates with the appropriate clearance. Responsibilities The Senior Data Science Analyst shall be able to demonstrate experience and expertise ...

Hive Group LLC

Data Scientist

Mclean, VA · On-site

Bachelor's degree in Data Science, Statistics, Mathematics or Computer Science is required; A ... Our hiring and promotion decisions are based exclusively on an individual's qualifications and ...

Hive Group LLC

Data Scientist

Mclean, VA · On-site

Bachelor's degree in Data Science, Statistics, Mathematics or Computer Science is required; A ... Our hiring and promotion decisions are based exclusively on an individual's qualifications and ...

Dla-Piper

Data Scientist

Reston, VA · On-site

$113 - $179/hr

Prioritizes, scopes and manages data science projects for internal stakeholders and clients.Mines ... Compensation & BenefitsThe firm's expected hiring range for this position is $112,879 - $179,481 ...

DLA Piper

Data Scientist

Reston, VA · On-site

Prioritizes, scopes and manages data science projects for internal stakeholders and clients ... Compensation & Benefits The firm's expected hiring range for this position is $112,879 - $179,481 ...

Dlapiper

Data Scientist

Reston, VA · On-site +1

Prioritizes, scopes and manages data science projects for internal stakeholders and clients ... Compensation & Benefits The firm's expected hiring range for this position is $112,879 - $179,481 ...

PTR Global

Senior Data Science Analyst

Richmond, VA · On-site

$57 - $61/hr

Position: Senior Data Science Analyst Location: Richmond, VA (1 week in office, 1 week remote ... Final employment decisions are made by qualified hiring personnel and are not based solely on AI ...

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Immediately Hiring Data Science information

What does 'Immediately Hiring Data Science' mean?

'Immediately Hiring Data Science' refers to job postings where employers are urgently seeking candidates to fill data science positions as soon as possible. Data scientists analyze and interpret complex data to help organizations make informed decisions. These roles typically involve skills in statistics, programming, and machine learning. If a company is immediately hiring, it means the hiring process may move quickly, so candidates should be prepared to apply and interview promptly.

What are some common challenges new data scientists face when joining a team, and how can they overcome them?

New data scientists often face challenges such as understanding legacy code, adapting to existing data infrastructure, and aligning their work with business objectives. It's important to communicate regularly with team members and stakeholders to clarify project goals and expectations. Taking time to familiarize yourself with the company's data sources and tools, as well as actively seeking feedback, can help ease the transition and accelerate your impact on the team.

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

To thrive as a Data Scientist, you need a strong background in mathematics, statistics, and computer science, often supported by a relevant degree or certification. Familiarity with programming languages like Python or R, data visualization tools, and machine learning platforms is typically required. Strong problem-solving abilities, communication skills, and curiosity help distinguish top performers in this field. These skills are vital for extracting actionable insights from complex data sets and driving data-driven decision-making within organizations.

What is the difference between Immediately Hiring Data Science vs Immediately Hiring Data Analyst?

AspectImmediately Hiring Data ScienceImmediately Hiring Data Analyst
Required CredentialsBachelor's or higher in Data Science, Computer Science, or related fields; knowledge of programming languages like Python or RBachelor's degree in Data Analysis, Statistics, or related fields; proficiency in Excel, SQL, and data visualization tools
Work EnvironmentCollaborative teams in tech, finance, or healthcare industries; project-based tasksBusiness environments, often in finance, marketing, or operations; focus on reporting and data interpretation
Employer & Industry UsageUsed by companies seeking advanced data modeling and predictive analyticsUsed by organizations needing data reporting, dashboards, and basic analysis

Immediately Hiring Data Science roles typically require advanced technical skills and focus on predictive modeling and machine learning, while Data Analyst positions emphasize data reporting and visualization. Both roles are in high demand but serve different functions within organizations.

What are popular job titles related to Immediately Hiring Data Science jobs in Virginia?

For Immediately Hiring Data Science jobs in Virginia, the most frequently searched job titles are:

What job categories do people searching Immediately Hiring Data Science jobs in Virginia look for?

The top searched job categories for Immediately Hiring Data Science jobs in Virginia are:

What cities in Virginia are hiring for Immediately Hiring Data Science jobs?

Cities in Virginia with the most Immediately Hiring Data Science job openings:

Immediately Hiring Data Science jobs near you
Infographic showing various Immediately Hiring Data Science job openings in Virginia as of August 2026, with employment types broken down into 85% Full Time, 3% Part Time, 3% Temporary, and 9% Contract. Highlights an 86% In-person, and 14% Remote job distribution.

Data Scientist

Darkhorse Geospatial LLC

Falls Church, VA • On-site

$120 - $180/hr

Other

Posted 17 days ago

Job description

Darkhorse Geospatial is hiring Data Scientists to turn complex, high-volume data into mission-ready intelligence for our federal customer. You'll build analytics, AI/ML models, and data pipelines that answer hard questions — extracting, transforming, and modeling data from a wide range of sources, then communicating findings through clear visualizations, dashboards, and briefings. You'll work shoulder-to-shoulder with engineers, analysts, and operators to deliver tools that get used.

What You'll Do
  • Extract, transform, and load data from diverse systems using Python and SQL
  • Build and maintain data pipelines and ETL workflows for analytics and AI/ML
  • Develop, evaluate, and deploy AI/ML models — including large language models — to address mission needs
  • Conduct statistical, mathematical, geospatial, and data-mining analysis
  • Design dashboards, visualizations, and infographics (Tableau, Tableau Prep) that make complex data actionable
  • Package models as reliable services and operator-focused dashboards (MLOps)
  • Build schemas and data models; query relational, graph, and search databases
  • Consult with customers to clarify analytic requirements and recommend data-driven solutions
  • Brief technical and non-technical audiences; produce reports, decks, and user documentation
Core Skills We're Looking For
  • Strong proficiency in Python and SQL
  • Hands-on experience with data pipelines, ETL, and large/heterogeneous datasets
  • Applied AI/ML experience — model training, evaluation, and integration of pre-trained models (PyTorch, TensorFlow, scikit-learn)
  • Cloud compute environments (AWS preferred — EC2, S3, Lambda)
  • Data visualization with Tableau (or equivalent) and dashboard design
  • Statistical analysis, data modeling, and algorithm fundamentals
  • Clear written and oral communication with technical and non-technical audiences
Nice to Have
  • Containerization and MLOps (Docker, Kubernetes, model serving)
  • Graph databases and query languages (Neo4j, Cypher)
  • App frameworks for analytic UIs (Flask, Gradio, Streamlit)
  • Geospatial analysis and GIS tooling
  • Elastic / Kibana, Elastic Data Analyst certification
  • Experience working in a cloud or data lake environment
  • Familiarity with JIRA and Agile delivery
Qualifications
  • Bachelor's degree in Data Science, Statistics, Computer Science, or related field (or equivalent experience)
  • Active TS/SCI with Full Scope Poly
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