Chief Data Scientist

$151K - $228K Washington, DC, US Mid Level Data Scientist

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About This Role

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Summary

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The position of Chief Data Scientist is in the Office of the Chief Information Officer, Food Safety and Inspection Service, U.S. Department of Agriculture (USDA). The Office of the Chief Information Officer (OCIO) has primary responsibility for information technology and information management for FSIS.

Learn more about this agency

This job is open to

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### The public

U.S. Citizens, Nationals or those who owe allegiance to the U.S.

### Senior executives

Individuals looking for an executive\-level job and who meet the five Executive Core Qualifications (ECQs).

### Clarification from the agency

Applications will be accepted from all qualified applicants.

Duties

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  • Advises on scientific issues pertaining to the development, planning, coordination, and implementation of statistical analyses of food safety and public health related to the full range of FSIS program areas.
  • Conducts or directs full and comprehensive data science lifecycle, data analyses and performs integration studies that require detailed knowledge of food safety and public health issues.
  • Cultivates and maintains contacts in the public health, food safety, data science/analytics, and scientific community, and with professional organizations and academic institutions, in an effort to complement and expand FSIS programs.
  • Serves as the liaison with nationally and internationally recognized authorities and organizations whose policies impact the agency’s data infrastructure, analytics, and activities in support of food safety and public health initiatives.
  • Supports in coordinating, evaluating, and improving the development and implementation of data analytics and the life cycle process model to support policy development and scientific policies as it relates to food safety and food defense.
  • Reviews and scientifically evaluates new and proposed policies, procedures, regulations, and legislation that impact data analytics integration and food defense and safety programs.
  • Collaborates with other Agency officials to ensure that decisions made and actions taken are fully supported by scientific and credible data and respond to the interests and needs of other programs and organizations.

Requirements

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### Conditions of employment

  • You must be a Citizen or US National.
  • Individuals who were born male after 12/31/1959 must be Selective Service registered or exempt.
  • Subject to satisfactory adjudication of background investigation and/or fingerprint check.
  • Successful completion of one\-year probationary period, unless previously served.
  • Direct Deposit: Per Public Law 104\-134 all Federal employees are required to have federal payments made by direct deposit to their financial institution.
  • Successfully pass the E\-Verify employment verification check. To learn more about E\-Verify, including your rights and responsibilities, visit https://www.e\-verify.gov/.
  • In accordance with Office of Government Ethics regulations concerning conflict of interest, the incumbent will be required to submit a financial disclosure report within 30 days of their effective date of appointment and annually thereafter.

### Qualifications

The application process used to recruit for this position is RESUME\-ONLY. DO NOT submit separate Technical Qualifications in lieu of a resume.

Candidates should be committed to improving the efficiency of the Federal government, passionate about the ideals of our American republic, and committed to upholding the rule of law and the United States Constitution. Candidates will not be hired based on their race, sex, color, religion, or national origin.

To apply for this position, you need only submit a resume which CANNOT exceed TWO (2\) pages using 0\.8\-inch margins and an 11\-point font. Any resume that exceeds the maximum length of two (2\) pages will be removed from consideration. Your resume should include examples of experience, education, and accomplishments applicable to the qualification(s). If your resume does not reflect demonstrated evidence of these qualifications, you may not receive consideration for the position.

Failure to meet the basic qualification requirement and address all Technical Qualification factors within your resume will result in your application being disqualified.

There is NO requirement to prepare a narrative statement specifically addressing the Technical Qualifications (TQs).

TECHNICAL QUALIFICATIONS (TQs):

Please give examples and explain the complexity of the knowledge possessed and the sensitivity of the issue you handled. The Mandatory Technical Qualifications are listed below. Typically, experience of this nature will have been gained at or above the GS\-14/15 grade level in the federal service or its equivalent in the private sector. Applicants must clearly demonstrate in their resume that they meet the following technical qualification(s). Failure to meet basic qualification requirements and to submit narratives for the Mandatory Technical Qualification factors will automatically disqualify an applicant.

TQ 1: Demonstrated ability to apply techniques in advanced analytics, statistical modeling, ML/AI, and scientific methodology at an executive, agency\-wide leadership level.

TQ 2: Demonstrated executive\-level expertise in architecting enterprise data platforms, leading cloud modernization initiatives, and directing large\-scale data\-engineering ecosystems that enable and strengthen regulatory and scientific decision\-making across the organization.

Time in grade requirements does not apply to SL positions.

Experience refers to paid and unpaid experience, including volunteer work done through National Service programs {e.g., Peace Corps, AmeriCorps) and other organizations {e.g., professional; philanthropic; religious; spiritual; community, student, social). Volunteer work helps build critical competencies and can provide valuable training and experience that translates directly to paid employment. You will receive credit for all qualifying experience, including volunteer experience.

Applicants must meet all qualifications and eligibility (including educational) requirements by the closing date of the announcement.

### Education

  • Degree: Mathematics, statistics, computer science, data science or field directly related to the position. The degree must be in a major field of study (at least at the baccalaureate level) that is appropriate for the position.

or

  • Combination of education and experience: Courses equivalent to a major field of study (30 semester hours) as shown in paragraph A above, plus additional education or appropriate experience.

### Additional information

Consideration for competitive selection for this position is open to all persons within the area of consideration who meet the basic qualifications. Race, color, age, national origin, gender, sexual orientation, political beliefs, religion, marital or family status, disability, and other non\-merit factors will not be considered.

1\. This position is covered under the post\-employment restriction of the Ethics in Government Act of 1978 (P.L. 95\-521\). This law also requires the selectee to file an Executive Personnel Financial Disclosure Report (Standard Form 278\), within 30 days of appointment.

2\. Applications sent in U.S. Government postage\-paid envelope and submitted through Federal Agency courier services will not be considered.

3\. The 1993 Hatch Act Reform Amendments prohibit oral and written political recommendations for Federal jobs.

4\. Male applicants born after December 31, 1959, must be registered with the Selective Service System before they can be employed by an executive agency of the Federal government. This requirement does not apply to Agency employees appointed before November 8, 1985\.

5\. All application forms are subject to the provisions of the Privacy Act and become the property of USDA. The U.S. Department of Agriculture (USDA) is an Equal Opportunity Employer. USDA prohibits discrimination in all its programs and activities on the basis of race, color, national origin, gender, religion, age, disability, political beliefs, sexual orientation, and marital or family status. (Not all prohibited bases apply to all programs). Persons with disabilities who require alternative means for communication or program information (Braille, large print, audiotape, etc.) should contact USDA's TARGET Center at 202\-720\-2600 (voice and TDD).

Reasonable Accommodation: This agency provides reasonable accommodation for applicants with disabilities. If you need a reasonable accommodation for any part of the application and hiring process, please notify the agency at 202\-260\-8128\. The decision on granting reasonable accommodation will be on a case\-by\-case basis.

Effective January 1, 2010, OPM must authorize any employment offers we make to current or former (within the last 5 years) political Schedule A, Schedule C, or Non\-career SES employees in the executive branch. If you are currently, or have been within the last 5 years, a political Schedule A, Schedule C, or Non\-career SES employee in the executive branch, you must disclose that to the Human Resources Office.

Candidates should be committed to improving the efficiency of the Federal government, passionate about the ideals of our American republic, and committed to upholding the rule of law and the United States Constitution.

Benefits

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A career with the U.S. government provides employees with a comprehensive benefits package. As a federal employee, you and your family will have access to a range of benefits that are designed to make your federal career very rewarding. Opens in a new windowLearn more about federal benefits.

Eligibility for benefits depends on the type of position you hold and whether your position is full\-time, part\-time or intermittent. Contact the hiring agency for more information on the specific benefits offered.

How you will be evaluated

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You will be evaluated for this job based on how well you meet the qualifications above.

You will be evaluated for this job based on how well you meet the qualifications above.

You will be evaluated on the quality and extent of your total accomplishments, experience, and education. Your application will be rated and ranked by an Executive Review Board (ERB) Panel, using only the information submitted within the application package. Applicants who do not demonstrate in their application sufficient possession of the TQs will be determined ineligible for further consideration.

Your resume must not exceed two (2\) pages in length.

Applicants may be required to participate in selection interviews.

Required Documents

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Your resume should contain information sufficient to make a valid determination that you fully meet the specialized experience requirements as stated in this vacancy announcement. It is recommended that you include the following information:

  • 2\-page TQ based Resume. DO NOT submit Technical Qualifications in lieu of a resume.

+ 1\) personal information such as name, address, contact information;2\) education;3\) detailed work experience related to this position as described in the major duties including work schedule, hours worked per week, dates of employment; title, series, grade (if applicable); 4\) all supervisors' phone numbers and if they may be contacted; and 5\) starting and ending dates of employment (month and year); 6\) salary; 7\) information about honors, awards, and special accomplishments.

  • Current or former Federal civilian employees, please provide a copy of your most recent SF\-50 (Notification of Personnel Action).

Education (if applicable): A copy of your transcript(s) or a separate course listing showing the course title, department, hours earned (quarter or semester), and grade (if applicable). If you have completed any part of your education outside of the U.S., you must submit the evaluation of your foreign education that has been prepared by an accredited organization. The National Association of Credential Evaluation Services (NACES) can provide a list of who can evaluate your foreign education. For additional information, visit DEPARTMENT OF EDUCATION.

### If you are relying on your education to meet qualification requirements:

Education must be accredited by an accrediting institution recognized by the U.S. Department of Education in order for it to be credited towards qualifications. Therefore, provide only the attendance and/or degrees from schools accredited by accrediting institutions recognized by the U.S. Department of Education.

Failure to provide all of the required information as stated in this vacancy announcement may result in an ineligible rating or may affect the overall rating.

How to Apply

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ONLY SUBMIT THE MATERIALS REQUESTED BY THIS ANNOUNCEMENT

To apply for this position, you must provide a complete Application Package which includes:

  • Complete Resume
  • Other supporting documentation as required. Please see the "REQUIRED DOCUMENTS" section to determine if there are other documents you are required to submit.

Please read the entire announcement and all the instructions before you begin. Failure to submit the required documentation by 11:59 pm EST of the closing date will result in loss of consideration. We are available to assist you during business hours (normally 8:00 a.m. \- 4:00 p.m., Monday \- Friday).

Applying online is highly encouraged. If applying online poses a hardship, please contact our office during business hours well before the closing date for an alternate method. All hardship application packages with supporting documents must be submitted no later than noon on the closing date of the announcement in order to be entered into the system prior to its closing. This agency provides reasonable accommodation for applicants with disabilities on a case\-by\-case basis; contact us if you are requesting this.

It is important that you are complete and thorough in your resume. Please be sure to include and address all TQs in your resume.

Candidates who do not submit complete application packages as indicated in this announcement will not be considered. Please be sure to remove all PII (e.g. SSN, DOB, etc.) from all documentation. Spell out Acronyms the first time used.

The following instructions outline our application process.

Step 1: Create a USAJOBS account (if you do not have one) at www.usajobs.gov. It is recommended that as part of your profile you set up automatic email notification to be informed when the status of your application changes. If you choose not to set up this automatic notification, then you will have to log into your USAJOBS account to check on the status of your application.

Step 2: Create a resume with USAJOBS or upload a resume into your USAJOBS account. Customize your resume to ensure it documents duties and accomplishments you have gained that are directly related to this position in order to verify that qualifications are met. Your resume must support your responses to the online questionnaire (you may preview the online questionnaire by clicking on the link at the end of the How You Will Be Evaluated section of the job announcement).

Step 3: Click "Apply Online" and follow the prompts to complete the Occupational Questionnaire and attach any additional documents that may be required. You can update your application or documents anytime while the announcement is open. Log into your USAJOBS account and click on "Application Status." Click on the position title, and then select "Update Application" to continue.

NOTE: Please verify that documents you are uploading from USAJOBs transfer into the Agency's staffing system as there is a limitation to the number of documents that can be transferred. However, once in the Agency's staffing system, you will have the opportunity to upload additional documents. Uploaded documents must be less than 5MB and in one of the following document formats: GIF, JPG, JPEG, PNG, RTF, PDF, TXT or Word (DOC or DOCX). Do not upload Adobe Portfolio documents because they are not viewable.

Please be sure to include the announcement number in your application. Also, please omit your social security number from all pages of your application. Please do not submit documents that are not requested in the vacancy announcement.

### Agency contact information

Cindy Romani

Email

[email protected]

Address

*Food Safety and Inspection Service*

*1400 Independence Ave SW*

*Washington, DC 20250*

*US*### Next steps

To verify the status of your application, sign in to your USAJOBS account (https://www.usajobs.gov/), all of your applications will appear on the Welcome screen. The Application Status will appear along with the date your application was last updated. For information on what each Application Status means, visit: https://help.usajobs.gov/how\-to.

Once your online application is submitted you will receive a confirmation notification by email. Your application will be evaluated by the Human Resources Office to determine your eligibility for the position. After the evaluation is complete, you will receive another notification regarding the status of your application.

Overview

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Accepting applications

Posted this week · Apply by 06/29/26

Due by 11:59 p.m. ET on June 29, 2026

Location

1 vacancy in the following location:

Washington, DC

No matching locations found.

Work site options

Telework eligible

Yes—as determined by the agency policy.

Remote job

No

Relocation expenses reimbursed

Yes—You may qualify for reimbursement of relocation expenses in accordance with agency policy.

Salary

$151,661 \- $228,000 per year

Pay scale \& grade

SL 00

Promotion potential

None

Learn more about pay scale and grade

Pay scale and grade determines the salary of the job.

Work schedule

Full\-time

Travel Required

25% or less \- You may be expected to travel for this position.

Appointment type

Permanent

Occupations and job series

  • 1560 Data Science Series

Supervisory status

No

Federal service type

This job is in the Excepted Service

Represented by a union

No

Drug test

No

Security clearance

Not Required

Position sensitivity and risk

High Risk (HR)

Jobs require a background check and some require a security clearance. The type depends on the job.

Background check type

  • Credentialing
  • Suitability/Fitness

Financial disclosure required

Yes

Some jobs require financial disclosure to identify conflicts of interests.

Announcement number

FSIS\-SL\-2026\-0381

Control number

871499500

Salary Context

This $151K-$228K range is above the 75th percentile for Data Scientist roles in our dataset (median: $157K across 236 roles with salary data).

View full Data Scientist salary data →

Role Details

Title Chief Data Scientist
Location Washington, DC, US
Category Data Scientist
Experience Mid Level
Salary $151K - $228K
Remote No

About This Role

Data Scientists extract insights and build predictive models from data. In the AI era, many roles now include LLM-powered analytics, automated reporting, and integration with generative AI tools. The role has evolved from 'the person who runs SQL queries' to 'the person who builds AI-powered data products.'

Modern data science roles fall into two camps: analytics-focused (insights, dashboards, experimentation) and ML-focused (building predictive models, recommendation systems, NLP features). The best data scientists can operate in both modes. The AI shift means that even analytics-focused roles now involve building automated insight pipelines using LLMs, going well beyond one-off reports.

Across the 3,823 AI roles we're tracking, Data Scientist positions make up 8% of the market. At USDA Food Safety and Inspection Service, this role fits into their broader AI and engineering organization.

Data Scientist roles remain in high demand, though the definition keeps shifting. Companies increasingly want candidates who can bridge traditional statistics with modern ML and LLM capabilities. The 'pure insights' data scientist role is consolidating into analytics engineering, while the 'build models' data scientist role is merging with ML engineering.

What the Work Looks Like

A typical week includes: analyzing experiment results for a product feature launch, building a predictive model for customer churn, creating an automated reporting pipeline using LLM-powered summarization, presenting insights to stakeholders, and cleaning data (always cleaning data). The ratio of analysis to engineering varies by company, but expect both.

Data Scientist roles remain in high demand, though the definition keeps shifting. Companies increasingly want candidates who can bridge traditional statistics with modern ML and LLM capabilities. The 'pure insights' data scientist role is consolidating into analytics engineering, while the 'build models' data scientist role is merging with ML engineering.

Skills in Demand for This Role

Python (52% of roles) Aws (31% of roles) Azure (24% of roles) Rag (22% of roles) Gcp (19% of roles) Pytorch (16% of roles) Prompt Engineering (16% of roles) Claude (14% of roles)

Python, SQL, and statistical modeling are the foundation. Increasingly, roles want experience with LLMs for data analysis, automated insight generation, and building AI-powered data products. Familiarity with cloud data platforms (Snowflake, BigQuery, Databricks) and ML frameworks (scikit-learn, PyTorch) covers most job requirements.

Experimentation design and causal inference are underrated skills that separate strong candidates. Companies care about whether their product changes cause improvements, and can distinguish causation from correlation. A/B testing methodology, Bayesian statistics, and the ability to communicate uncertainty to non-technical stakeholders are high-value skills.

Good postings specify the data stack, the types of problems you'll work on, and the team structure. Look for companies that differentiate between analytics and ML data science. Vague 'data scientist' postings that list every skill under the sun usually mean the company doesn't know what they need.

Compensation Benchmarks

Data Scientist roles pay a median of $198,000 based on 808 positions with disclosed compensation. C-Level-level AI roles across all categories have a median of $259,000. Disclosed range: $151K to $228K.

Across all AI roles, the market median is $200,100. Top-quartile compensation starts at $253,500. The 90th percentile reaches $307,500. For comparison, the highest-paying categories include AI Engineering Manager ($275,000) and AI Safety ($274,200). By seniority level: Entry: $97,880; Mid: $165,000; Senior: $227,400; Director: $247,800; VP: $250,000.

USDA Food Safety and Inspection Service AI Hiring

USDA Food Safety and Inspection Service has 1 open AI role right now. They're hiring across Data Scientist. Based in Washington, DC, US. Compensation range: $228K - $228K.

Location Context

Across all AI roles, 15% (590 positions) offer remote work, while 3,217 require on-site attendance. Top AI hiring metros: New York (2,643 roles, $211,000 median); San Francisco (2,168 roles, $253,000 median); Los Angeles (1,792 roles, $191,580 median).

Career Path

Common paths into Data Scientist roles include Data Analyst, Statistician, Quantitative Researcher.

From here, career progression typically leads toward Senior Data Scientist, ML Engineer, AI Product Manager.

Start with statistics and SQL. Build a real analysis project on public data that demonstrates insight generation alongside model building. The market values data scientists who can communicate findings clearly to business stakeholders. If you want to move toward ML engineering, invest in software engineering fundamentals and production deployment skills.

What to Expect in Interviews

Interviews combine statistics, coding, and business acumen. SQL is almost always tested, often with complex joins and window functions. Expect a case study round where you're given a business problem and asked to design an analysis plan. Coding rounds focus on pandas, statistical modeling, and visualization. The strongest differentiator is how well you communicate insights to non-technical stakeholders during presentation rounds.

When evaluating opportunities: Good postings specify the data stack, the types of problems you'll work on, and the team structure. Look for companies that differentiate between analytics and ML data science. Vague 'data scientist' postings that list every skill under the sun usually mean the company doesn't know what they need.

AI Hiring Overview

The AI job market has 3,823 open positions tracked in our dataset. By seniority: 112 entry-level, 1,798 mid-level, 1,516 senior, and 397 leadership roles (Director, VP, C-Level). Remote roles make up 15% of the market (590 positions). The remaining 3,217 roles require on-site or hybrid attendance.

The market median for AI roles is $200,100. Top-quartile compensation starts at $253,500. The 90th percentile reaches $307,500. Highest-paying categories: AI Engineering Manager ($275,000 median, 41 roles); AI Safety ($274,200 median, 55 roles); Research Engineer ($260,000 median, 434 roles).

Data Scientist roles remain in high demand, though the definition keeps shifting. Companies increasingly want candidates who can bridge traditional statistics with modern ML and LLM capabilities. The 'pure insights' data scientist role is consolidating into analytics engineering, while the 'build models' data scientist role is merging with ML engineering.

The AI Job Market Today

The AI job market spans 3,823 open positions across 15 role categories. The largest categories by volume: AI/ML Engineer (2,629), Data Scientist (322), AI Software Engineer (279). These three account for the majority of open positions, though smaller categories often have higher per-role compensation because of specialized skill requirements.

The seniority mix tells a story about where AI teams are in their maturity. Entry-level roles (112) are outnumbered by mid-level (1,798) and senior (1,516) positions, reflecting that most companies are past the 'build a team from scratch' phase and need experienced engineers who can ship production systems. Leadership roles (Director, VP, C-Level) total 397 positions, representing the bottleneck between technical execution and organizational strategy.

Remote work availability sits at 15% of all AI roles (590 positions), with 3,217 requiring on-site or hybrid attendance. The remote share has stabilized after the post-pandemic correction. Senior and specialized roles (Research Scientist, ML Architect) are more likely to be remote-eligible than entry-level positions, partly because experienced hires have more negotiating power and partly because these roles require less hands-on mentorship.

AI compensation is structured in clear tiers. The market median sits at $200,100. Top-quartile roles start at $253,500, and the 90th percentile reaches $307,500. These figures include base salary with disclosed compensation. Total compensation (including equity, bonuses, and sign-on) runs 20-40% higher at companies that offer those components.

Category matters for compensation. AI Engineering Manager roles lead at $275,000 median, while Prompt Engineer roles sit at $140,000. The spread between highest and lowest-paying categories reflects the premium on specialized technical skills versus broader analytical roles.

The most in-demand skills across all AI postings: Python (1,979 postings), Aws (1,190 postings), Azure (899 postings), Rag (839 postings), Gcp (726 postings), Pytorch (595 postings), Prompt Engineering (595 postings), Claude (540 postings). Python dominates, appearing in the vast majority of role descriptions regardless of category. Cloud platform experience (AWS, GCP, Azure) is the second most common requirement. The newer entrants to the top skills list (RAG, vector databases, LLM APIs) reflect the shift from traditional ML toward generative AI applications.

Frequently Asked Questions

Based on 808 roles with disclosed compensation, the median salary for Data Scientist positions is $198,000. Actual compensation varies by seniority, location, and company stage.
Python, SQL, and statistical modeling are the foundation. Increasingly, roles want experience with LLMs for data analysis, automated insight generation, and building AI-powered data products. Familiarity with cloud data platforms (Snowflake, BigQuery, Databricks) and ML frameworks (scikit-learn, PyTorch) covers most job requirements.
About 15% of the 3,823 AI roles we track offer remote work. Remote availability varies by company and seniority level, with senior and leadership roles more likely to offer location flexibility.
USDA Food Safety and Inspection Service is among the companies actively hiring for AI and ML talent. Check our company profiles for detailed breakdowns of open roles, salary ranges, and hiring trends.
Common next steps from Data Scientist positions include Senior Data Scientist, ML Engineer, AI Product Manager. Progression depends on whether you lean toward technical depth, people management, or product strategy.

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