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Contract Google Data Science Jobs in Virginia (NOW HIRING)

Altagrove LLC

Data Science

Norfolk, VA · On-site

Experience with AWS, Azure, Google Cloud, or hybrid cloud environments. * Understanding of data ... Bachelors or Masters degree in Data Science, Computer Science, Data Engineering, Mathematics ...

KPMG

Lead Specialist, Federal Data Science

Mclean, VA · On-site

Build / manage production-ready data science product lifecycles, continuous delivery and automation ... Learning, Google Data Engineering, Azure AI Engineer Associate, etc.) * Experience building AI ...

Varsity Tutors

Data Science Tutor

Norfolk, VA · Remote

$18 - $40/hr

What We Look For In a Data Science Tutor * Advanced Subject Mastery: Deep knowledge of statistical ... Varsity Tutors does not contract in: Alaska, California, Colorado, Delaware, Hawaii, Maine, New ...

Varsity Tutors

Data Science Tutor

Blacksburg, VA · Remote

$18 - $40/hr

What We Look For In a Data Science Tutor * Advanced Subject Mastery: Deep knowledge of statistical ... Varsity Tutors does not contract in: Alaska, California, Colorado, Delaware, Hawaii, Maine, New ...

Varsity Tutors

Data Science Tutor

Salem, VA · Remote

$18 - $40/hr

What We Look For In a Data Science Tutor * Advanced Subject Mastery: Deep knowledge of statistical ... Varsity Tutors does not contract in: Alaska, California, Colorado, Delaware, Hawaii, Maine, New ...

Varsity Tutors

Data Science Tutor

Charlottesville, VA · Remote

$18 - $40/hr

What We Look For In a Data Science Tutor * Advanced Subject Mastery: Deep knowledge of statistical ... Varsity Tutors does not contract in: Alaska, California, Colorado, Delaware, Hawaii, Maine, New ...

Varsity Tutors

Data Science Tutor

Virginia Beach, VA · Remote

$18 - $40/hr

What We Look For In a Data Science Tutor * Advanced Subject Mastery: Deep knowledge of statistical ... Varsity Tutors does not contract in: Alaska, California, Colorado, Delaware, Hawaii, Maine, New ...

Varsity Tutors

Data Science Tutor

Leesburg, VA · Remote

$18 - $40/hr

What We Look For In a Data Science Tutor * Advanced Subject Mastery: Deep knowledge of statistical ... Varsity Tutors does not contract in: Alaska, California, Colorado, Delaware, Hawaii, Maine, New ...

Tecolote Research

Senior Data Scientist

Chantilly, VA · On-site

$130K - $160K/yr

... or Google Charts * Understanding of relevant statistical measures, development and evaluation of data sets. * Salary Range: $130,000 - $160,000/Year, DOE Skills Required The Senior Data Science ...

TLA-LLC

Data Analyst

Mclean, VA

Experience and Education Bachelor's degree in a quantitative field such as Computer Science ... Power BI Data Analyst Associate Google Data Analytics Professional Certificate Certified Analytics ...

Core Interface

Data Scientist

Chantilly, VA · On-site

Key Responsibilities * Lead the end-to-end lifecycle of data science projects - from data ... Active security clearance or eligibility to obtain one (for government contracts) preferred. Core ...

Wilcore Technologies

Data Scientist II

Stafford, VA · On-site

... once the contract is secured. Skills and Qualifications: - Bachelor's or Master's degree in Data Science, Statistics, Computer Science, or a related field - Proven experience in data analysis ...

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All JobsContract Google Data Science JobsContract Google Data Science Jobs in Virginia

Contract Google Data Science information

What is the difference between Contract Google Data Science vs Contract Data Analyst?

AspectContract Google Data ScienceContract Data Analyst
Required CredentialsBachelor's/Master's in Data Science, Computer Science, or related field; experience with machine learning and programming languages like Python or RBachelor's in Statistics, Data Analysis, or related field; proficiency in Excel, SQL, and data visualization tools
Work EnvironmentProject-based, often in tech or digital companies, with focus on predictive modeling and data-driven solutionsBusiness or marketing environments, focusing on reporting, data cleaning, and descriptive analysis
Employer & Industry UsageTech giants, consulting firms, and startups hiring for data science projectsRetail, finance, healthcare, and other industries requiring data reporting and insights

Contract Google Data Science roles typically involve advanced analytics, machine learning, and programming, whereas Contract Data Analyst positions focus on data reporting, cleaning, and visualization. Both roles require strong analytical skills but differ in technical complexity and project scope.

What are some common challenges faced by contract data scientists working with Google technologies, and how can they be addressed?

Contract Google Data Science professionals often face challenges such as rapidly adapting to new project domains, integrating with existing teams, and mastering proprietary Google tools and workflows. To address these, it's important to proactively communicate with team members, leverage Google's extensive documentation and training resources, and stay organized with clear project milestones. Building strong collaborations and seeking feedback regularly can also help contract data scientists quickly align with the team's goals and deliver impactful results.

What are the key skills and qualifications needed to thrive as a Contract Google Data Scientist, and why are they important?

To thrive as a Contract Google Data Scientist, you need strong expertise in statistics, machine learning, and data analysis, typically supported by an advanced degree in a quantitative field. Proficiency with Python, SQL, data visualization tools (like Tableau), and Google Cloud Platform is essential, and certifications in data science or cloud technologies can be advantageous. Strong problem-solving skills, effective communication, and adaptability help you translate complex data insights into actionable business strategies. These skills and qualities ensure you can deliver high-impact, data-driven solutions in a dynamic, project-based environment.

What are Contract Google Data Science jobs?

Contract Google Data Science jobs refer to temporary positions where professionals are hired on a contractual basis to work on data science projects at Google. These roles typically involve analyzing large datasets, building predictive models, and generating insights to support decision-making within Google’s business units. Contractors may work on short- or long-term projects, often collaborating with full-time employees. The nature of contract positions means that benefits and job security may differ from permanent roles, but they offer valuable experience and exposure to cutting-edge technologies.
What are the most commonly searched types of Google Data Science jobs in Virginia? The most popular types of Google Data Science jobs in Virginia are:
What are popular job titles related to Contract Google Data Science jobs in Virginia? For Contract Google Data Science jobs in Virginia, the most frequently searched job titles are:
What job categories do people searching Contract Google Data Science jobs in Virginia look for? The top searched job categories for Contract Google Data Science jobs in Virginia are:
What cities in Virginia are hiring for Contract Google Data Science jobs? Cities in Virginia with the most Contract Google Data Science job openings:
Contract Google Data Science jobs near you

Data Science

Altagrove LLC

Norfolk, VA • On-site

Full-time

Re-posted 29 days ago

Job description

Salary:

Who we are:


Altagrove delivers smart and innovative technology solutions that create competitive advantages for our customers and their missions. Our focus areas include Space, Connectivity, Cyber, Cloud, Analytics, and Research & Development. As we continue to grow, Altagrove is actively recruiting for a Data Scientist to join our energetic and entrepreneurial team that is executing on a variety of projects that are technology oriented. A successful candidate will bring a core area of expertise and a passion for learning and implementing new ideas in a start-up environment.


Follow us at -https://www.linkedin.com/company/altagrove


What you will do:


  • Design, develop, deploy, and maintain AI-enabled analytics solutions supporting operational and strategic mission objectives.
  • Build and optimize enterprise data pipelines, ingestion frameworks, transformation workflows, and integration services supporting analytics and AI platforms.
  • Develop machine learning models, predictive analytics capabilities, and decision-support solutions using structured and unstructured data.
  • Design and implement Large Language Model (LLM) solutions, Retrieval-Augmented Generation (RAG) architectures, vector databases, and AI-enabled knowledge management capabilities.
  • Develop scalable data architectures, metadata enrichment pipelines, indexing services, and retrieval systems supporting enterprise knowledge exploitation.
  • Collaborate with mission stakeholders, engineers, and technical teams to identify high-value AI and data-driven use cases.
  • Conduct data exploration, feature engineering, model training, validation, testing, and performance optimization activities.
  • Design and implement ETL/ELT processes supporting operational, analytical, and machine learning workloads.
  • Develop dashboards, visualizations, reports, and analytical products that communicate insights to technical and non-technical stakeholders.
  • Support cloud-native and hybrid data environments leveraging AWS, Azure, Kubernetes, and modern data engineering technologies.
  • Implement data quality controls, monitoring solutions, security controls, and governance practices across enterprise data environments.
  • Work closely with Cloud Engineers, DevSecOps Engineers, and Software Developers to support end-to-end solution delivery.
  • Research emerging AI, machine learning, and data engineering technologies and recommend innovative applications for customer missions.
  • Support technical documentation, architecture development, operational procedures, training materials, and knowledge transfer activities.


What you will bring:


  • Experience developing and deploying advanced analytics, machine learning, artificial intelligence, or enterprise data engineering solutions within government, defense, intelligence, or highly regulated environments.
  • Strong proficiency in Python and experience with modern data science and engineering frameworks.
  • Experience with machine learning frameworks such as Scikit-Learn, TensorFlow, PyTorch, or similar technologies.
  • Experience designing and maintaining enterprise data pipelines, ETL/ELT workflows, and data integration architectures.
  • Familiarity with Large Language Models (LLMs), Generative AI, Retrieval-Augmented Generation (RAG), vector databases, embeddings, and prompt engineering concepts.
  • Experience working with SQL, NoSQL, data lakes, data warehouses, and cloud-native data platforms.
  • Experience with AWS, Azure, Google Cloud, or hybrid cloud environments.
  • Understanding of data governance, metadata management, data quality, security, and compliance principles.
  • Experience with containerization technologies, Kubernetes, DevSecOps practices, and Infrastructure-as-Code is highly desirable.
  • Strong analytical, problem-solving, and communication skills.
  • Ability to collaborate effectively across multidisciplinary engineering and mission teams.
  • Experience supporting NATO, DoD, Intelligence Community, or other national security organizations is highly desired.
  • Bachelors or Masters degree in Data Science, Computer Science, Data Engineering, Mathematics, Statistics, Engineering, Information Systems, or a related discipline.
  • Active Secret Clearance required; TS/SCI or NATO Secret preferred.
  • Exceptional attention to detail and organizational skills.