Research Jobs at Daisy Brand with Visa Sponsorship
Daisy Brand's Research function focuses on product development, food science, and quality innovation within its sour cream and cottage cheese categories. The company has a track record of sponsoring international talent for Research roles, making it a viable target if you're navigating H-1B, OPT, or TN pathways.
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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
See all 44+ Research at Daisy Brand jobs
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Get Access To All JobsTips for Finding Research Jobs at Daisy Brand Jobs
Align Your Degree with Food Science Roles
Daisy Brand's Research positions typically require backgrounds in food science, dairy technology, or a related applied science. Frame your credentials around product formulation or quality systems, not just general biology or chemistry, to clear the specialty occupation bar.
Browse Verified Sponsoring Employers on Migrate Mate
Use Migrate Mate to filter Research openings at companies with a confirmed sponsorship history in Food and Beverage. It saves you from applying blind to roles where sponsorship is unlikely to materialize.
Prepare a Specialty Occupation Evidence File
For H-1B filings, USCIS scrutinizes whether a Research role genuinely requires a specific degree. Gather the job description, industry salary data from DOL's wage library, and any internal documentation showing degree requirements for your exact position before your employer files.
Confirm TN Eligibility Before Accepting an Offer
Canadian and Mexican nationals in food science or chemistry may qualify for TN status, which can be approved at the port of entry without USCIS processing delays. Verify your job title maps to an eligible TN category under the USMCA professional list before signing.
Coordinate H-1B Timing with Daisy Brand's HR Team
H-1B cap-subject petitions must be filed in April for an October 1 start date. If your OPT expires before October, ask HR whether cap-gap protection applies and whether they'll support a cap-exempt filing through a university partnership to bridge the gap.
Research at Daisy Brand jobs are hiring across the US. Find yours.
Find Research at Daisy Brand JobsFrequently Asked Questions
Does Daisy Brand sponsor H-1B visas for Research roles?
Yes, Daisy Brand has sponsored H-1B visas for Research positions. Sponsorship is not automatic with every offer, so confirm the company's willingness to file a petition during early conversations with the hiring manager or HR. Research roles grounded in food science or dairy technology generally meet USCIS's specialty occupation standard, which strengthens the petition.
How do I apply for Research jobs at Daisy Brand?
Applications go through Daisy Brand's careers portal. Tailor your resume to highlight food science, product development, or quality assurance experience relevant to dairy manufacturing. Migrate Mate also lists open Research roles at Daisy Brand alongside verified sponsorship information, so you can confirm visa support before investing time in the application process.
Which visa types are commonly used for Research roles at Daisy Brand?
Daisy Brand has a history of supporting H-1B, F-1 OPT, and TN visas for Research functions. F-1 OPT is the most straightforward entry point since it requires no employer petition. TN works well for Canadian and Mexican nationals in qualifying scientific fields. H-1B is the long-term path but requires navigating the annual lottery.
What qualifications does Daisy Brand expect for Research positions?
Most Research roles require at minimum a bachelor's degree in food science, dairy science, chemistry, or a closely related applied science. Advanced degrees improve competitiveness for formulation or innovation-focused positions. Hands-on lab experience, familiarity with dairy processing standards, and knowledge of FDA food safety regulations are practical differentiators beyond academic credentials.
How do I time my application around visa filing deadlines?
If you're targeting an H-1B, the cap lottery registration window opens in March and petitions are filed in April for an October 1 start. Plan to have an offer in hand by February. For OPT transitions, initiate the application at least 90 days before your current authorization ends to avoid a work authorization gap that could delay your start date.
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