Food & Beverage Jobs in New York with TN Sponsorship
Food & beverage TN sponsorship jobs in New York connect Canadian and Mexican professionals to one of the country's most active food industry markets. Major employers like PepsiCo, headquartered in Purchase, and food manufacturers across the Hudson Valley and New York City regularly hire in qualifying scientific and technical roles. Competition is real, but so is the opportunity.
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Get Access To All JobsAbout Daisy Brand
Daisy Brand is a nationally recognized leader known for delivering high-quality products and maintaining a strong commitment to innovation, integrity, and operational excellence. As we continue to expand our data-driven capabilities, we are investing in advanced analytics and quantitative research to enhance decision-making across the organization.
We are seeking a talented and motivated Quantitative Researcher to join our team and contribute to the development of sophisticated analytical models that support strategic initiatives.
Position Overview
The Quantitative Researcher will play a critical role in analyzing complex datasets, developing predictive models, and generating insights that influence key business decisions. This role requires a strong foundation in mathematics, statistics, and programming, along with the ability to translate technical findings into actionable recommendations.
This position offers flexibility with full-time and part-time opportunities, along with a hybrid work environment that combines remote and in-office collaboration.
Key Responsibilities
- Design, develop, and implement quantitative models for forecasting, optimization, and risk analysis
- Analyze large, structured and unstructured datasets to identify trends and patterns
- Apply statistical techniques, machine learning algorithms, and data mining methods
- Collaborate with cross-functional teams including analytics, engineering, and business units
- Translate complex analytical results into clear, actionable insights for stakeholders
- Build and maintain scalable data pipelines and modeling frameworks
- Evaluate model performance and continuously improve methodologies
- Conduct research on new quantitative techniques and industry best practices
- Prepare reports, dashboards, and presentations to communicate findings effectively
Required Qualifications
- Bachelor's degree or higher in Mathematics, Statistics, Economics, Finance, Computer Science, or a related quantitative field
- Strong programming skills in Python, R, or similar languages
- Experience with statistical modeling, machine learning, or quantitative analysis
- Proficiency in data analysis tools and libraries (e.g., pandas, NumPy, scikit-learn)
- Strong analytical and problem-solving abilities
- Ability to work independently and collaboratively in a team environment
- Excellent written and verbal communication skills
Preferred Qualifications
- Master's or PhD in a quantitative discipline
- Experience working with large-scale data systems or cloud platforms
- Familiarity with SQL and database management
- Knowledge of financial modeling, forecasting, or optimization techniques
- Prior experience in a research, analytics, or data science role
Compensation & Benefits
- Base Salary: $165,000 – $185,000 per year
- Annual Bonus: Typically 10% – 20% of base salary
- 401(k) Retirement Plan
- Comprehensive Health Insurance
- Dental and Vision Insurance
- Life Insurance Coverage
Work Environment & Flexibility
- Full-Time and Part-Time opportunities available
- Hybrid work model (remote and in-office flexibility)
- Collaborative and innovation-focused culture
Eligibility Requirements
- Must be authorized to work in the United States
- USA applicants only will be considered
About Daisy Brand
Daisy Brand is a nationally recognized leader known for delivering high-quality products and maintaining a strong commitment to innovation, integrity, and operational excellence. As we continue to expand our data-driven capabilities, we are investing in advanced analytics and quantitative research to enhance decision-making across the organization.
We are seeking a talented and motivated Quantitative Researcher to join our team and contribute to the development of sophisticated analytical models that support strategic initiatives.
Position Overview
The Quantitative Researcher will play a critical role in analyzing complex datasets, developing predictive models, and generating insights that influence key business decisions. This role requires a strong foundation in mathematics, statistics, and programming, along with the ability to translate technical findings into actionable recommendations.
This position offers flexibility with full-time and part-time opportunities, along with a hybrid work environment that combines remote and in-office collaboration.
Key Responsibilities
- Design, develop, and implement quantitative models for forecasting, optimization, and risk analysis
- Analyze large, structured and unstructured datasets to identify trends and patterns
- Apply statistical techniques, machine learning algorithms, and data mining methods
- Collaborate with cross-functional teams including analytics, engineering, and business units
- Translate complex analytical results into clear, actionable insights for stakeholders
- Build and maintain scalable data pipelines and modeling frameworks
- Evaluate model performance and continuously improve methodologies
- Conduct research on new quantitative techniques and industry best practices
- Prepare reports, dashboards, and presentations to communicate findings effectively
Required Qualifications
- Bachelor's degree or higher in Mathematics, Statistics, Economics, Finance, Computer Science, or a related quantitative field
- Strong programming skills in Python, R, or similar languages
- Experience with statistical modeling, machine learning, or quantitative analysis
- Proficiency in data analysis tools and libraries (e.g., pandas, NumPy, scikit-learn)
- Strong analytical and problem-solving abilities
- Ability to work independently and collaboratively in a team environment
- Excellent written and verbal communication skills
Preferred Qualifications
- Master's or PhD in a quantitative discipline
- Experience working with large-scale data systems or cloud platforms
- Familiarity with SQL and database management
- Knowledge of financial modeling, forecasting, or optimization techniques
- Prior experience in a research, analytics, or data science role
Compensation & Benefits
- Base Salary: $165,000 – $185,000 per year
- Annual Bonus: Typically 10% – 20% of base salary
- 401(k) Retirement Plan
- Comprehensive Health Insurance
- Dental and Vision Insurance
- Life Insurance Coverage
Work Environment & Flexibility
- Full-Time and Part-Time opportunities available
- Hybrid work model (remote and in-office flexibility)
- Collaborative and innovation-focused culture
Eligibility Requirements
- Must be authorized to work in the United States
- USA applicants only will be considered
Job Roles in Food & Beverage in New York
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Get Access To All JobsFrequently Asked Questions
Which food & beverage companies sponsor TN visas in New York?
PepsiCo (headquartered in Purchase, NY) is one of the largest food and beverage employers in the state and has a history of sponsoring work visas for technical and scientific roles. Other active employers include Kraft Heinz operations, Chobani, and various food manufacturing firms across the Hudson Valley and upstate New York. Sponsorship availability varies by role, location, and hiring cycle, so confirming directly with each employer is essential.
Which cities in New York have the most food & beverage TN sponsorship jobs?
New York City and its surrounding metro area, including Purchase and White Plains in Westchester County, see the highest concentration of food and beverage corporate and technical roles. Upstate cities like Buffalo, Rochester, and Syracuse have significant food manufacturing activity, particularly in dairy, beverage, and packaged goods. The Hudson Valley also has a growing cluster of specialty food producers with science and engineering hiring needs.
What types of food & beverage roles typically qualify for TN sponsorship?
TN visa eligibility in food and beverage is tied to specific USMCA-listed occupational categories, not the industry itself. Roles that commonly qualify include food scientists, chemists, microbiologists, engineers (chemical, industrial, mechanical), and certain computer systems analysts supporting food tech operations. Positions in general management, sales, or production supervision typically do not meet TN specialty occupation criteria, regardless of employer size or industry.
How do I find food & beverage TN sponsorship jobs in New York?
Migrate Mate is built specifically for international professionals seeking visa-sponsored roles, including TN sponsorship in food and beverage. You can filter by visa type, state, and industry to see New York food and beverage openings from employers with TN sponsorship history. This saves significant time compared to manually screening generic job listings where sponsorship details are often absent or unclear.
Are there any New York-specific considerations for food & beverage TN sponsorship?
New York's food and beverage sector is heavily regulated at the state level, which increases employer demand for food scientists, quality assurance specialists, and regulatory affairs professionals. These roles align well with TN-eligible categories. Additionally, New York City's density of food tech startups and headquarters means some roles may involve hybrid or remote arrangements, which are generally permissible under TN status as long as the employer relationship and job duties remain consistent.
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