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Food Data Scientist Jobs in Silver Spring, MD (NOW HIRING)

Data Scientist

Washington, DC · On-site

$90 - $130/hr

This Data Scientist position is located in the Strategic Initiatives Branch (SIB) within the ... food distribution, and communications. These duties may be performed when the government is closed ...

As the digital arm for the world's largest food and beverage company, Nestle IT & Digital Americas ... Position Summary Join Nestle IT & Digital as a Sr. Data Scientist supporting Nestle USA Digital ...

As the digital arm for the world's largest food and beverage company, Nestle IT & Digital Americas ... Position Summary Join Nestle IT & Digital as an Expert AI Data Scientist supporting Nestle USA ...

Scientific Data Analyst

Arlington, VA · On-site

$110K - $115K/yr

In this role, you will provide computational, data science, and bioinformatics support for Office ... Noteworthy achievements include initiatives aimed at enhancing human resilience in the food supply ...

AI Evaluation Scientist

Mclean, VA · On-site

$105K - $145K/yr

The AI Evaluation Scientist will work closely with engineers, data scientists, governance analysts, and product teams to develop evaluation metrics, build test harnesses, analyze model behavior, and ...

AI Evaluation Scientist

Mclean, VA · On-site

$105K - $145K/yr

The AI Evaluation Scientist will work closely with engineers, data scientists, governance analysts, and product teams to develop evaluation metrics, build test harnesses, analyze model behavior, and ...

Data Engineer

Arlington, VA · On-site

$130K - $157K/yr

Experience collaborating with architects, data scientists, and cybersecurity teams in Agile or ... Noteworthy achievements include initiatives aimed at enhancing human resilience in the food supply ...

Ensure strict adherence to GMPs, GLPs, and food safety standards throughout all quality-related ... Proficiency with Microsoft Office Suite for data entry, reporting, and documentation. * Comfort ...

Accurately record observations and data and interpret results * Assist department supervisors and ... food and life science markets. OTHER: This is not an exhaustive list of all duties an employee may ...

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Food Data Scientist information

See Silver Spring, MD salary details

$38.8K

$126.9K

$203.1K

How much do food data scientist jobs pay per year?

As of Aug 29, 2026, the average yearly pay for food data scientist in Silver Spring, MD is $126,884.00, according to ZipRecruiter salary data. Most workers in this role earn between $101,800.00 and $140,600.00 per year, depending on experience, location, and employer.

What is a food data scientist?

Food Data Scientists are professionals who use data analysis, machine learning, and statistical methods to solve problems in the food industry. They analyze large datasets from sources like food production, quality control, consumer preferences, and supply chains to optimize processes, improve food safety, and develop new products. Their work helps companies make data-driven decisions on product development, marketing, and resource management, ultimately enhancing efficiency and innovation in the food sector.

How does a food data scientist typically collaborate with cross-functional teams in the food industry?

Food Data Scientists often work closely with product developers, nutritionists, quality assurance teams, and marketing professionals. Their role involves analyzing large datasets to uncover trends in consumer preferences, ingredient performance, and supply chain efficiency. Effective communication is key, as they must translate complex data findings into actionable insights for colleagues who may not have a technical background. This collaborative environment fosters innovation and ensures that data-driven decisions positively impact product development and business strategies.

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

To thrive as a Food Data Scientist, you need a strong background in statistics, data analysis, and food science, typically supported by a relevant degree such as food technology, data science, or a related field. Proficiency with programming languages like Python or R, machine learning frameworks, and data visualization tools is essential, along with experience using food industry databases. Strong analytical thinking, problem-solving abilities, and effective communication skills help you interpret complex data and present actionable insights to diverse stakeholders. These skills are crucial because they enable you to drive innovation, ensure food quality, and support data-driven decision-making in the food industry.

What is the difference between Food Data Scientist vs Food Analyst?

AspectFood Data ScientistFood Analyst
Required CredentialsDegree in Data Science, Statistics, or related field; knowledge of programming languages like Python or RDegree in Food Science, Nutrition, or related field; analytical skills
Work EnvironmentData-driven projects, research labs, or R&D departmentsQuality control, product testing, or market research in food companies
Employer & Industry UsageFood manufacturing, research institutions, tech companiesFood production, retail, government agencies

Food Data Scientists focus on analyzing large datasets to optimize food products and processes, while Food Analysts primarily evaluate food quality, safety, and compliance. Both roles are essential in the food industry but differ in their core responsibilities and skill sets.

What are popular job titles related to Food Data Scientist jobs in Silver Spring, MD?

For Food Data Scientist jobs in Silver Spring, MD, the most frequently searched job titles are:

What job categories do people searching Food Data Scientist jobs in Silver Spring, MD look for?

The top searched job categories for Food Data Scientist jobs in Silver Spring, MD are:

Data Scientist

DC Government

Washington, DC • On-site

$90 - $130/hr

Other

Medical, Life, Retirement

This job post has expired today. Applications are no longer accepted.


Job description

This position is located the District Department of Transportation (DDOT). The District Department of Transportation's mission is to equitably deliver a safe, sustainable and reliable multimodal transportation network for all residents and visitors of the District of Columbia.

This Data Scientist position is located in the Strategic Initiatives Branch (SIB) within the Traffic Safety Administration (TSA). This position will support TSA’s goal of improving multimodal safety in the District of Columbia by advancing data analysis, safety improvements, multimodal engineering initiatives, and asset management across the District. The Data Scientist is responsible for applying skills in programming, statistics, quantitative social sciences, and scientific communication to generate actionable insights from data and convey those insights to others in compelling graphical, numerical, and narrative forms.

Duties and Responsibilities

Incumbent identifies and acts on opportunities to harness data analytic approaches that provide insight into and make recommendations for priority goals for DDOT and the District. Participates in providing input on DDOT and District-wide data priorities and policies. Obtains, merges, reshapes, cleans, and evaluates the quality of datasets. Automates data pulls, manipulations, and other rote activities to enable efficient team and agency operations.

Uses descriptive statistics, predictive analytics, machine learning, and other methods to learn about and derive insights from the patterns and relations within a dataset. Uses inferential statistics to learn about the causal relations between variables in a dataset, including randomized field evaluations. Creates intuitive and compelling graphics to visualize and think about data. Ensures that work product adheres to methodological and open science best practices. Creates data dictionaries, annotated code, and similar materials to ensure the work product is as open and reproducible as possible.

Qualifications and Education

Degree: behavioral or social science; or related disciplines appropriate to the position.

or

Combination of education and experience that provided the applicant with knowledge of one or more of the behavioral or social sciences equivalent to a major in the field.

or

Four years of appropriate experience that demonstrated that the applicant has acquired knowledge of one or more of the behavioral or social sciences equivalent to a major in the field.

Preferred experience in data science, engineering, statistics, or a related field.

Experience with Tableau, GIS, Microsoft Office Suite, Python/R, SQL, and interpreting statistical methods strongly preferred. A successful candidate should also have excellent communication skills, including the ability to write briefing memos and reports, deliver presentations, and facilitate effective meetings. An ideal candidate will display strong project management skills and deep expertise with data analysis and visualization.

The work is performed in the normal office setting and in-the-field, when investigating and analyzing street conditions. Field work may bring the incumbent to construction sites and in contact with construction materials (soils, concrete, asphalt, steel, etc.).

Other Significant Facts

Tour of Duty:Varies

Pay Plan, Series and Grade:CS-0101-13

Promotional Potential:No known promotion potential

Type of Appointment: Career Service – Term Appt

Collective Bargaining Unit:(Non-Union):This position is not in a collective bargaining unit

Position Designation: The incumbent of this position will be subject to enhanced suitability screening pursuant to Chapter 4 of DC Personnel Regulations, Suitability - Security Sensitive. Accordingly, the incumbent will be subject to pre-employment checks (criminal background checks, consumer credit check, traffic record checks, if applicable) as a condition of employment, and will be subject to periodic criminal background checks for the duration of your tenure.

Emergency Designation: This position has been designated as an emergency employee position under the provisions of District Personnel Manual, Chapter 12. As such, your services may be required in emergency situations to perform crucial duties, i.e., snow removal, debris removal, transportation, shelter operation, food distribution, and communications. These duties may be performed when the government is closed or when most employees are dismissed early. Employees are required to work rotating shifts, to include evenings, nights, weekends and holidays. Employees are considered emergency personnel and are subject to call-in 24 hours a day and will be required to provide the employing agency with a telephone number where they can be reached.

Applicants claiming “Residency Preference” will be required to maintain residency in the District of Columbia for a minimum of seven (7) years. Failure to do so may result in forfeiture of employment.

Benefits May Include:

DDOT is an employer of choice for any job seeker who has passion, energy, and enthusiasm about our city. Employee benefits include:

Health and life insurance benefits and retirement benefits (More information about these benefits is available on the D.C. Department of Human Resources (DCHR) website at www.dchr.dc.gov .)

Complimentary Capital BikeShare Membership

Continued professional development, and professional growth through d.University , the in-house training available for all DDOT employees

Employer assisted housing loan program, providing payment and/or closing cost financing for first-time home buyers (restrictions apply)

EEO Statement: The District of Columbia Government does not discriminate or retaliate in employment on the basis of race, color, religion, sex, pregnancy, gender identity and expression, national origin, family responsibilities, political affiliation, sexual orientation, marital status, homeless status, disability, genetic information, age, membership in an employee organization, participation in a legally protected activity, parental status, matriculation, personal appearance, credit information, status as a victim or family member of a victim of domestic violence, sexual offense, or stalking, military service, or other non-merit factor.

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