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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