Remote Quantitative Researcher -Oklahoma City

About the position

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

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