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Integrated Science Jobs in Virginia (NOW HIRING)

Altagrove LLC

Data Science

Norfolk, VA · On-site

... integration services supporting analytics and AI platforms. * Develop machine learning models ... Strong proficiency in Python and experience with modern data science and engineering frameworks.

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How much do integrated science jobs pay per year?

As of Jul 7, 2026, the average yearly pay for integrated science in Virginia is $47,976.00, according to ZipRecruiter salary data. Most workers in this role earn between $38,200.00 and $51,600.00 per year, depending on experience, location, and employer.

What do you do in integrated science?

In an integrated science role, you analyze and apply principles from multiple scientific disciplines such as biology, chemistry, physics, and earth science to solve complex problems. The work often involves conducting experiments, data analysis, and using tools like laboratory equipment and scientific software to support research and development projects.

What does a typical day look like for someone in an Integrated Science position?

A typical day in an Integrated Science role involves coordinating projects that require knowledge across multiple scientific disciplines, conducting experiments or research, analyzing data, and preparing reports or presentations. Depending on the setting, you might also work closely with colleagues from different scientific backgrounds, contribute to curriculum development if in education, or consult with industry professionals to solve multidisciplinary problems. Collaboration and adaptability are key, as projects often evolve and require input from various fields. The variety in daily tasks ensures that the work remains dynamic and intellectually stimulating.

Is integrated science a good degree?

Integrated science is a multidisciplinary degree that combines principles from various scientific fields, preparing graduates for careers in research, education, or industry. It develops skills in critical thinking, problem-solving, and data analysis, which are valuable in many science-related jobs and often require proficiency with laboratory tools and scientific software.

What is an Integrated Science job?

An Integrated Science job involves applying knowledge from multiple scientific disciplines, such as biology, chemistry, physics, and environmental science, to solve complex problems. Professionals in this field work in research, education, healthcare, technology, or environmental management. They analyze data, conduct experiments, and develop innovative solutions across various industries. This interdisciplinary approach allows for a broader understanding of scientific challenges and their real-world applications.

What kind of job can I get with an integrated studies degree?

An integrated science degree prepares graduates for roles such as research assistant, laboratory technician, environmental technician, or science educator. These positions often require strong analytical skills, familiarity with scientific tools, and sometimes additional certifications or training depending on the field.

What are the key skills and qualifications needed to thrive in the Integrated Science position, and why are they important?

To thrive in an Integrated Science role, you typically need a broad background in biology, chemistry, physics, and mathematics, often supported by a relevant degree and experience in interdisciplinary research or teaching. Familiarity with laboratory equipment, data analysis software, and sometimes certification in science education or research methods is beneficial. Strong communication, critical thinking, and teamwork skills help bridge disciplines and explain complex concepts to diverse audiences. These abilities are essential for addressing real-world scientific challenges that require a multifaceted, collaborative approach.

What can I do with an integrated science degree?

An integrated science degree prepares graduates for careers in research, education, healthcare, environmental science, and technology. It provides a strong foundation in multiple scientific disciplines, enabling roles such as laboratory technician, science educator, environmental consultant, or research assistant. Additional certifications or advanced degrees can expand career opportunities in specialized fields.
What are the most commonly searched types of Integrated Science jobs in Virginia? The most popular types of Integrated Science jobs in Virginia are:
What are popular job titles related to Integrated Science jobs in Virginia? For Integrated Science jobs in Virginia, the most frequently searched job titles are:
What job categories do people searching Integrated Science jobs in Virginia look for? The top searched job categories for Integrated Science jobs in Virginia are:
Integrated Science jobs near you
Senior Data Scientist

Senior Data Scientist

Science Applications International Corporation

Springfield, VA • On-site

Other

Posted 19 days ago

SAIC rating

7.9

Company rating: 7.9 out of 10

Based on 79 frontline employees who took The Breakroom Quiz

66th of 207 rated it services

Job description

SAIC is a premier Fortune 500 mission integrator focused on advancing the power of technology and innovation to serve and protect our world. Our robust portfolio of offerings across the defense, space, civilian and intelligence markets includes secure high-end solutions in mission IT, enterprise IT, engineering services and professional services. We integrate emerging technology, rapidly and securely, into mission critical operations that modernize and enable critical national imperatives. 

We are seeking a highly motivated Senior Data Scientist to lead the integration and application of advanced data analytics to solve complex business challenges and enhance mission security. The contractor will serve as a subject matter expert (SME), responsible for the entire lifecycle of data analysis, refining business requirements and developing sophisticated analytical models to provide strategic recommendations that improve organizational efficiency and mitigate insider threats. This role demands a blend of deep technical expertise, strong business acumen, and the ability to lead, manage, and support critical operational and policy-related initiatives. 

Work will be performed at the customer site in Springfield, VA. 

***The hiring of this position is contingent upon contract award. Anticipated award is fall of 2026.***

Responsibilities will include the following:

  • Advanced Analytics and Model Development: Architect, develop, and maintain advanced analytic models, visualizations, and tools to deter, detect, and mitigate insider threats. Apply expert knowledge of industry-standard data science principles to identify anomalous events and provide actionable intelligence.
  • Strategic Business Analysis: Proactively collaborate with project requestors, senior stakeholders, and program managers to define, clarify, and refine complex business needs and strategic objectives. Utilize data-driven insights to recommend significant changes and process improvements.
  • Process Improvement and Policy Operations: Lead, manage, and support business operations and policy development lifecycles. Serve as an SME for the development, review, coordination, promulgation, and compliance of enterprise-wide policies, including the maintenance of Self-Inspection Checklists and related documentation.
  • Risk and Performance Analytics: Own the development and maintenance of sophisticated risk-scoring models and other data analytics tools. Drive the implementation and sustainment of data analysis platforms, ensuring system integrity by capturing and analyzing metrics on system errors, failures, and performance.
  • Stakeholder Engagement and Communication: Translate complex quantitative and qualitative analysis into clear, compelling visuals, dashboards, and executive-level reports. Provide authoritative visual, technical, and editorial guidance, and confidently brief senior leadership on analytical findings, forecasts, and strategic recommendations.
  • Data Governance and Integrity: Oversee the capture, maintenance, and accumulation of statistics, ensuring the accuracy of data related to timelines, product transfers between domains, and other key performance indicators.
SAIC is a premier mission integrator focused on advancing the power of technology and innovation to serve and protect our world. Our robust portfolio of offerings across the defense, space, intelligence, and civilian markets includes secure high-end solutions in mission IT, enterprise IT, engineering services, and professional services. We integrate emerging technology, rapidly and securely, into mission critical operations that modernize and enable critical national imperatives.

We are approximately 23,000 strong; driven by mission, united by purpose, and inspired by opportunities. SAIC is an Equal Opportunity Employer. Headquartered in Reston, Virginia, SAIC has annual revenues of approximately $7.3 billion. For more information, visit saic.com. For ongoing news, please visit our newsroom.

Required Qualifications Include:

  • Active TS/SCI with Polygraph.
  • Education: A minimum of a Master's Degree in Data Science, Statistics, Business, or a related field.
  • Experience: 7+ years proven experience in integrating, developing, and maintaining analytic models, visualizations, and tools, preferably in a security or threat-detection context. In lieu of a masters degree, 10+ years of experience. In lieu of a bachelor's degree, 15+ years of experience.
  • Expert-level knowledge of data analytics and data science principles, with a demonstrated ability to apply them to identify anomalous events and create data-driven forecasts.
  • Extensive experience collaborating with stakeholders at all levels to define business requirements and translate them into technical solutions.
  • Demonstrated ability to lead process improvement initiatives and contribute to the full lifecycle of policy development and business operations.
  • Mastery of data visualization and dashboard development using data sets from various sources.
  • Exceptional ability to transform complex data sets into compelling visuals, reports, and briefings for leadership.
  • Excellent verbal and written communication skills, with experience providing technical and editorial guidance.
  • Direct experience supporting and maintaining risk-scoring models or similar predictive analytic systems.
  • Experience in a role requiring significant cross-functional collaboration and the ability to manage competing priorities.
  • Proficiency in creating and editing visual content such as charts and graphs to represent data.
  • At least 2 years demonstrated experience in one or more Geospatial Information Systems tools such as ArcView, ArcGIS, Remote View, ArcIMS, ERDAS Imagine, Remote View, ERDAS Imagine, Macromedia Dreamweaver, Macromedia Fireworks, Photoshop, HTML, and FrameMaker.
  • Demonstrated coding experience to support writing scripts with tools such as but not limited to Java and Python.
  • Demonstrated ability to use Share Point, Tableau, Redmine, and other systems/databases to manipulate and build data visualization.

Desired Qualifications Include:

  • Experience in a leadership or mentorship role within a data analytics or business intelligence team.
  • Familiarity with geospatial analysis, web development principles, or specific program leadership reporting structures.

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