Quantitative Jobs at Daisy Brand with Visa Sponsorship
Daisy Brand hires quantitative professionals across supply chain, demand planning, and operations analytics to keep its dairy products moving at scale. The company has a track record of sponsoring work visas for this function, making it a viable target if you need H-1B, OPT, or TN support.
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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 41+ Quantitative at Daisy Brand jobs
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Get Access To All JobsTips for Finding Quantitative Jobs at Daisy Brand Jobs
Frame Your Degree Around Specialty Occupation Standards
USCIS requires your role to qualify as a specialty occupation before H-1B sponsorship can proceed. Position your quantitative degree as directly tied to supply chain modeling, demand forecasting, or operations research, not general business analysis.
Target Supply Chain and Demand Planning Openings
Daisy Brand's quantitative hiring is concentrated in roles that optimize production and distribution for its dairy supply chain. Filter for titles like demand planner, supply chain analyst, or pricing analyst rather than broad data or analytics roles.
Use Migrate Mate to Surface Sponsorship-Confirmed Openings
Quantitative roles at food and beverage companies often go unfilled by sponsored candidates simply because applicants can't confirm sponsorship eligibility upfront. Use Migrate Mate to browse Daisy Brand openings already filtered for H-1B and OPT sponsorship.
Prepare for a Technical Screen Grounded in Food Operations Data
Daisy Brand's quantitative interviews lean toward applied problems in perishable goods forecasting and distribution efficiency. Brush up on inventory optimization, spoilage modeling, and capacity planning scenarios before your first technical round.
Quantitative at Daisy Brand jobs are hiring across the US. Find yours.
Find Quantitative at Daisy Brand JobsFrequently Asked Questions
Does Daisy Brand sponsor H-1B visas for Quantitatives?
Yes, Daisy Brand has sponsored H-1B visas for quantitative roles. The company participates in the standard H-1B cap process, so your petition would need to be filed by April 1 for an October 1 start. Your role must qualify as a specialty occupation, which is straightforward for positions requiring a quantitative degree in a directly related field like supply chain, statistics, or operations research.
How do I apply for Quantitative jobs at Daisy Brand?
Applications go through Daisy Brand's careers page, where quantitative openings in supply chain, demand planning, and analytics are posted regularly. Migrate Mate also aggregates these roles and flags which ones come with confirmed visa sponsorship, so you can identify the right openings before you apply and avoid wasting time on positions that won't support your visa status.
Which visa types does Daisy Brand commonly use for Quantitative roles?
Daisy Brand has sponsored H-1B visas for quantitative professionals and accepts candidates on F-1 OPT, including STEM OPT extensions available to graduates in quantitative fields. Canadian and Mexican nationals may also be eligible for TN status if their role maps to an eligible USMCA category such as statistician, economist, or management consultant, which covers many quantitative functions.
What qualifications does Daisy Brand expect for Quantitative roles?
Most quantitative openings at Daisy Brand require at least a bachelor's degree in a field like statistics, industrial engineering, supply chain management, or applied mathematics. Roles supporting dairy production and distribution often prioritize experience with demand forecasting tools, ERP systems, and inventory modeling. Graduate degrees can strengthen your profile for senior analyst or planning roles, particularly where USCIS specialty occupation documentation is required.
How do I time my application given visa processing timelines?
If you need H-1B sponsorship, work backward from the April 1 registration deadline. USCIS runs the lottery in March, with petitions filed shortly after for an October 1 start date. For OPT-to-H-1B transitions, your employer needs enough lead time to file before your OPT expires. TN processing is faster and can often be completed at the port of entry, making it a practical option for Canadian and Mexican nationals on a tighter timeline.
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