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Packaging Science Jobs in Washington, DC (NOW HIRING)

Data Science Associate

Chantilly, VA · On-site

$65K - $68K/yr

With our sites in Chantilly and Manassas, Virginia, we have R&D through manufacturing and packaging ... Master's Degree in Data Science, Analytics, Statistics, Computer Science, or a related quantitative ...

Overview Senior Data Science Developer Location: Annapolis Junction, MD (Hybrid) Clearance: Public ... Our package also includes: Medical, Dental & Vision Insurance Flexible Spending Accounts Short-Term ...

Data Science and Data Engineering Job Qualifications: Skills: Data Management, Metadata Standards ... Comprehensive benefits and wellness packages, 401K with company match, and competitive pay and paid ...

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Packaging Science information

See Washington, DC salary details

$14

$21

$30

How much do packaging science jobs pay per hour?

As of Aug 22, 2026, the average hourly pay for packaging science in Washington, DC is $21.34, according to ZipRecruiter salary data. Most workers in this role earn between $18.51 and $22.60 per hour, depending on experience, location, and employer.

What is packaging science?

Packaging science is an interdisciplinary field focused on the design, development, testing, and production of packaging materials and systems. It combines principles from materials science, engineering, chemistry, and marketing to create packaging that protects products, extends shelf life, and appeals to consumers. Professionals in this field work to ensure packaging is functional, sustainable, and cost-effective. Packaging scientists may also address regulatory compliance, environmental impact, and innovations in materials or technology.

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

To thrive as a Packaging Scientist, you need a solid background in materials science, chemistry, and engineering, typically supported by a relevant bachelor's or master's degree. Familiarity with CAD software, packaging testing equipment, and sustainability assessment tools is often required, along with knowledge of industry standards and regulations. Strong problem-solving abilities, attention to detail, and effective communication are standout soft skills for collaborating with cross-functional teams and addressing client needs. These skills and qualities are crucial for developing innovative, cost-effective, and sustainable packaging solutions that meet safety and regulatory requirements.

What are some common challenges faced by professionals in packaging science, and how can they be addressed?

Professionals in Packaging Science often encounter challenges such as balancing cost-effectiveness with sustainability, meeting regulatory requirements, and ensuring product protection during transit. Addressing these challenges typically involves collaborating closely with cross-functional teams in engineering, marketing, and supply chain management to develop innovative packaging solutions. Staying updated on new materials, technologies, and regulations is also essential for success in this evolving field.

What is the difference between Packaging Science vs Packaging Engineering?

AspectPackaging SciencePackaging Engineering
EducationBachelor's in Packaging Science, Materials Science, or related fieldsBachelor's or Master's in Packaging Engineering, Mechanical Engineering, or related fields
Work EnvironmentResearch labs, product development, packaging designManufacturing plants, design labs, production facilities
CertificationsOften not required, but certifications like CPP can helpProfessional engineering licenses (PE) may be relevant
Industry UsageProduct packaging development, material testing, sustainabilityPackaging design, structural analysis, process optimization

Packaging Science focuses on the research, development, and testing of packaging materials and solutions, emphasizing sustainability and product protection. Packaging Engineering involves designing and implementing packaging systems, often with a focus on structural integrity and manufacturing processes. Both roles overlap in education and industry, but Packaging Science leans more toward research and material innovation, while Packaging Engineering emphasizes practical design and production.

Is packaging science worth it?

Packaging science is a valuable field that involves designing and developing packaging solutions for products, requiring knowledge of materials, engineering, and sustainability. Careers in packaging science can offer stable employment and opportunities for advancement, especially with relevant skills and certifications. The field is essential in industries like consumer goods, pharmaceuticals, and food, making it a practical choice for those interested in product development and manufacturing processes.

What can you do with a packaging science degree?

A packaging science degree prepares individuals for roles such as packaging engineer, product development specialist, quality assurance technician, or supply chain analyst. Graduates often work in manufacturing, design, or logistics environments, utilizing skills in materials, design software, and industry standards to develop and improve packaging solutions.

What does a packaging scientist do?

A packaging scientist designs and develops packaging materials and systems to protect products during storage, transportation, and sale. They analyze material properties, conduct testing, and use tools like CAD software to create effective packaging solutions, often working in laboratories or manufacturing environments. Strong knowledge of materials science, engineering, and quality standards is essential for this role.

What are popular job titles related to Packaging Science jobs in Washington, DC?

For Packaging Science jobs in Washington, DC, the most frequently searched job titles are:

What job categories do people searching Packaging Science jobs in Washington, DC look for?

The top searched job categories for Packaging Science jobs in Washington, DC are:

Infographic showing various Packaging Science job openings in Washington, DC as of August 2026, with employment types broken down into 80% Full Time, 8% Part Time, and 12% Contract. Highlights an 91% In-person, and 9% Remote job distribution, with an average salary of $44,380 per year, or $21.3 per hour.

Data Science Associate

Granules

Chantilly, VA • On-site

$65K - $68K/yr

Full-time

Posted 13 days ago


Job description

Description:Granules Pharmaceuticals Inc., (GPI) is a subsidiary of Granules India LTD. Over the past 34 years, we have worked towards strengthening our core and we are currently the 10th fastest growing generic pharma company in the US!With our sites in Chantilly and Manassas, Virginia, we have R&D through manufacturing and packaging of our medicines including pulsatile drug release in tablet and capsule dosage form, orally disintegrating modified release tablets (XR, MR, ER), modified release suspension and controlled substances capabilities in an abuse deterrent technology platform.We are dedicated to excellence in manufacturing, quality, and commercialization of generic drugs to give customers reliable and affordable options. The Facility Maintenance Technician is responsible for carrying out necessary equipment, buildings and ground repairs (i.e., Boilers, chillers, compressors) including facility PMs, and utility operations associated with our facilities. Ensure the continued efficient operation of Granules Pharmaceuticals Inc. by providing service and support to all equipment, and all manufacturing areas in order to keep our facilities in compliance with GMP standards.


Responsibilities include but not limited to:

  • Conduct exploratory data analysis to identify trends, patterns, and improvement opportunities.
  • Perform data cleaning and preprocessing to prepare datasets for modeling and reporting.
  • Build and evaluate predictive models to support decision-making across operations.
  • Create dashboards and reports for data storytelling to communicate insights to business stakeholders.
  • Collaborate with cross-functional teams on data pipeline integration and analytics enablement.
  • Provide data-driven recommendations that improve operational efficiency, accuracy, and business outcomes.
  • Assist in analytics tasks related to system implementations, process changes, or technology upgrades.
Requirements:


Required Experience & Education

  • Master’s Degree in Data Science, Analytics, Statistics, Computer Science, or a related quantitative field preferred
  • Bachelor’s Degree in a STEM discipline with strong analytical coursework (required)
  • Coursework or academic projects in machine learning, statistics, data engineering, optimization, or operations analytics.
  • Exposure to cloud computing, database systems, or business analytics is a plus.
  • Capstone, thesis, or applied research demonstrating hands-on data work is strongly preferred.

Required Knowledge & Skills

  • Curiosity & Learning Mindset — eagerness to explore new tools, methods, and business domains.
  • Communication — explaining technical concepts to non-technical stakeholders.
  • Analytical Thinking — ability to break down complex problems into structured analytical steps.
  • Machine Learning Fundamentals — regression, classification, clustering, model evaluation, and basic time-series concepts.
  • Database Concepts — relational databases, SQL querying, joins, indexing, and basic data modelling.
  • Cloud & Modern Data Platforms — familiarity with AWS, Azure, or GCP services for analytics
  • Business & Operational Understanding — ability to interpret data in the context of business processes, KPIs, and operational goals.