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Applied Statistician Jobs in Delaware (NOW HIRING)

Showing results 21-40

Applied Statistician information

See Delaware salary details

$40.5K

$83.7K

$117.1K

How much do applied statistician jobs pay per year?

As of Aug 10, 2026, the average yearly pay for applied statistician in Delaware is $83,729.00, according to ZipRecruiter salary data. Most workers in this role earn between $57,000.00 and $116,100.00 per year, depending on experience, location, and employer.

What are the key skills and qualifications needed to thrive as an applied statistician, and why are they important?

To thrive as an Applied Statistician, you need strong quantitative skills, a solid background in statistics or mathematics, and typically at least a bachelor's or master's degree in a related field. Familiarity with statistical software such as R, SAS, Python, or SPSS, and experience with data management systems are commonly required. Critical thinking, problem-solving, and effective communication are vital soft skills for interpreting data and conveying findings to stakeholders. These skills ensure accurate data analysis, effective decision-making, and clear presentation of complex statistical concepts in real-world applications.

What is the difference between Applied Statistician vs Data Analyst?

AspectApplied StatisticianData Analyst
Required CredentialsDegree in Statistics, Mathematics, or related field; often certifications in statistical softwareDegree in Statistics, Mathematics, or related field; proficiency in data visualization and analysis tools
Work EnvironmentResearch settings, industries like healthcare, finance, manufacturing; focus on statistical modelingBusiness environments, marketing, finance; focus on data interpretation and reporting
Employer & Industry UsageEmployers seeking advanced statistical analysis for decision-makingOrganizations needing data-driven insights for operational improvements

Applied Statisticians and Data Analysts both work with data, but Applied Statisticians focus more on developing statistical models and methods, often requiring advanced statistical knowledge. Data Analysts typically handle data cleaning, visualization, and reporting to support business decisions. While their skills overlap, their roles differ in complexity and focus, with Applied Statisticians often involved in more technical, research-oriented tasks.

What are some common challenges an applied statistician faces when working with cross-functional teams?

Applied Statisticians often work closely with professionals from diverse backgrounds, such as engineers, business analysts, and subject matter experts. One common challenge is translating complex statistical concepts into actionable insights for non-technical stakeholders. Additionally, balancing the need for methodological rigor with practical constraints like tight deadlines and limited data quality can be demanding. Success in this role often depends on strong communication skills, adaptability, and the ability to collaborate effectively to ensure statistical analyses drive meaningful decisions.

What is a good salary for an applied statistician?

The average salary for an applied statistician varies by experience, location, and industry but typically ranges from $70,000 to $120,000 annually. Senior roles or those with specialized skills in data analysis, programming, and statistical software can earn higher salaries, often exceeding $130,000.

What is an applied statistician?

An applied statistician is a professional who uses statistical methods and techniques to collect, analyze, and interpret data in order to solve real-world problems. They work across various industries, such as healthcare, finance, government, and technology, to inform decision-making and improve processes. Applied statisticians design experiments, develop predictive models, and communicate their findings to stakeholders, often using specialized software and programming languages. Their work supports evidence-based strategies and helps organizations make informed choices.

What jobs use applied statistics?

Applied statisticians work in various fields such as healthcare, finance, marketing, government, and technology, applying statistical methods to analyze data and inform decision-making. They often use tools like R, SAS, or Python and may work in research, data analysis, or consulting roles. These jobs typically require strong analytical skills and knowledge of statistical techniques and software.

What does an applied statistician do?

As an applied statistician, you apply statistical formulas and analysis to real-world situations. Your responsibilities and the scope of your job vary depending on the needs of your employer. You may develop a plan to collect data, perform analysis using statistical methods, and formulate a report on your findings. You may also use statistical analysis to solve specific problems or identify trends in an organization, a city, or an industry. You also use computer software to organize and analyze large amounts of data.

What are popular job titles related to Applied Statistician jobs in Delaware? For Applied Statistician jobs in Delaware, the most frequently searched job titles are:
What job categories do people searching Applied Statistician jobs in Delaware look for? The top searched job categories for Applied Statistician jobs in Delaware are:
What are popular job titles related to Applied Statistician jobs in DE? For Applied Statistician jobs in DE, the most frequently searched job titles are:
Infographic showing various Applied Statistician job openings in Delaware as of August 2026, with employment types broken down into 82% Full Time, 9% Part Time, and 9% Contract. Highlights an 82% In-person, and 18% Hybrid job distribution, with an average salary of $83,729 per year, or $40.3 per hour.

$110 - $170/hr

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Posted 8 days ago


International Flavors & Fragrances rating

8.2

Company rating: 8.2 out of 10

Based on 40 frontline employees who took The Breakroom Quiz

88th of 538 rated manufacturers


Job description

## AI & Data ScientistApplyremote type: On-sitelocations: Wilmington, DE, USAtime type: Full timeposted on: Posted Todaytime left to apply: End Date: August 31, 2026 (30+ days left to apply)job requisition id: R20094**Job Summary**Are you passionate about using AI, data science and digital innovation to transform quality operations and accelerate scientific decision-making?IFF is a global leader in flavors, fragrances, food ingredients and health & biosciences. We deliver sustainable innovations that elevate everyday products.**Health & Biosciences:** Channeling our passion for nature and bioscience into sustainable, life-enhancing technologies that power innovative solutions across healthcare, food, consumer and industrial markets.The role is based in **Wilmington, Delaware, United States (on-site role)**. Be part of a collaborative, innovative and solution-oriented team where together we can achieve greatness and make a real impact. Your potential is our inspiration.## Where You’ll Make a Difference* Structure, harmonize and manage data across Global Technical Quality systems, including Laboratory Information Management Systems (LIMS), SAP, SharePoint and other digital platforms.* Develop and implement data science, machine learning and artificial intelligence solutions that enhance quality processes and scientific decision-making.* Build and maintain scalable data pipelines supporting structured and unstructured laboratory, manufacturing and technical datasets.* Design and deploy AI-enabled tools, intelligent agents and automated workflows that improve productivity and streamline technical operations.* Perform statistical analyses to identify trends, deviations and opportunities for continuous improvement across quality systems.* Partner closely with Research & Development, Manufacturing, Regulatory Affairs and Global Quality Assurance teams to advance data-driven quality best practices.* Contribute to the continuous improvement of digital infrastructure, data architecture and Global Technical Quality workflows.* Ensure data integrity, regulatory compliance and alignment with quality standards and expectations.* Communicate technical findings, recommendations and business insights clearly to cross-functional stakeholders.## What Makes You the Right Fit* Bachelor’s degree in Data Science, Computer Science, Data Engineering, Bioinformatics, Biochemistry, Biotechnology, Engineering or a related field.* At least five years of experience in data science, analytics, data engineering or digital transformation roles.* Strong expertise in data architecture, data modeling and modern data science methodologies.* Advanced proficiency in Python, SQL and data integration, transformation and automation tools.* Experience designing, developing and maintaining enterprise data pipelines for structured and unstructured data sources.* Hands-on experience with artificial intelligence, machine learning, generative AI and intelligent agent development.* Strong statistical analysis, data visualization and problem-solving capabilities.* Experience with enterprise platforms such as LIMS, SAP, SharePoint and Microsoft 365 tools.* Demonstrated ability to learn new business domains quickly, understand how data is stored and used, and identify opportunities to increase productivity through data-driven solutions.## How Would You Stand Out?* Master’s or Ph.D degree in Data Science, Artificial Intelligence, Applied Analytics, Data Engineering or a related discipline.* Experience working with biotechnology, biochemistry, scientific research or laboratory environments.* Proven track record developing AI-enabled solutions such as Microsoft Copilot experiences, knowledge bases, agentic workflows and automation platforms.## Why Choose Us?* Opportunity to work on innovative AI and data science initiatives that directly impact global quality operations.* Exposure to diverse scientific, laboratory and manufacturing datasets across a global organization.* Collaboration with experts across Research & Development, Quality, Manufacturing and Digital Technology teams worldwide.* Continuous learning and professional development opportunities in emerging technologies, artificial intelligence and data science.* Inclusive workplace that values diverse perspectives, curiosity and innovation.* Ability to help shape the future of AI-enabled quality excellence across Health & Biosciences.We are a global leader in taste, scent, and nutrition, offering our customers a broader range of natural solutions and accelerating our growth strategy. At IFF, we believe that your uniqueness unleashes our potential. We value the diverse mosaic of the ethnicity, national origin, race, age, sex, or veteran status. We strive for an inclusive workplace that allows each of our colleagues to bring their authentic self to work regardless of their religion, gender identity & expression, sexual orientation, or disability. #J-18808-Ljbffr

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