Remote Quantitative Researcher – AI Innovation Opportunity for Global Talent

This fully remote Quantitative Researcher position invites skilled data scientists to tackle complex challenges in AI and statistical modeling. Enjoy the freedom to work from anywhere while contributing to products that impact a global user base. Competitive pay and a supportive, innovative culture await successful candidates.

About the Role

The Quantitative Researcher will sit at the intersection of advanced mathematics, machine learning, and product development. You’ll design, train, and deploy sophisticated models that power real-time decision-making, optimize algorithms, and uncover actionable insights from massive datasets. This role is ideal for a curious problem-solver who thrives in a collaborative, fast-paced environment and wants to see their research translate into tangible user value. As a fully remote team member, you’ll partner with engineers, product managers, and other researchers across time zones, contributing to a culture of transparency, experimentation, and continuous learning.

Key Responsibilities

• Conduct cutting-edge quantitative research to address business-critical questions and improve product performance.
• Build, test, and productionize predictive models using Python, R, or Julia, leveraging frameworks such as TensorFlow, PyTorch, or Scikit-learn.
• Perform rigorous statistical analysis, validate model assumptions, and ensure reproducibility of research findings.
• Collaborate with cross-functional teams to integrate research outputs into live systems, monitoring performance and iterating based on feedback.
• Author clear, concise documentation and presentations to communicate complex methodologies to both technical and non-technical stakeholders.

Requirements

Education & Experience

• Master’s degree or Ph.D. in Mathematics, Statistics, Physics, Computer Science, Engineering, or a closely related quantitative field.
• Minimum of 3 years of professional experience in quantitative research, data science, or AI/ML development, with a strong portfolio of published work or deployed models.
• Demonstrated ability to translate theoretical research into practical, scalable solutions that deliver measurable business impact.

Technical Skills

• Expert-level proficiency in Python and data science libraries (pandas, NumPy, SciPy, Matplotlib/Seaborn).
• Solid experience with machine learning frameworks (TensorFlow, PyTorch, or JAX) and model deployment tools (Docker, Kubernetes, MLflow, or similar).
• Strong foundation in probability theory, statistical inference, optimization, and experimental design.
• Familiarity with cloud platforms (AWS SageMaker, Google Cloud AI Platform, or Azure ML) and version control best practices using Git.

Compensation & Benefits

Salary Range: $85,000 – $150,000 USD/year, commensurate with experience, qualifications, and demonstrated expertise. Additional performance-based bonuses and equity options may be available depending on seniority and role scope.

As a fully remote employee, you’ll receive a comprehensive benefits package designed to support your well-being and professional growth:

• Fully remote work environment with a competitive home office stipend for equipment and ergonomics.
• Flexible scheduling and asynchronous communication norms, allowing you to work during your most productive hours.
• Generous paid time off, including wellness days and paid holidays.
• Comprehensive health, dental, and vision insurance plans.
• Annual professional development budget for conferences, online courses, certifications, and research materials.
• Employee assistance program, mental health resources, and regular virtual team-building events.

Application Process

We’ve streamlined our hiring process to ensure a fair and efficient experience for all candidates:

1. Submit your resume and a brief cover letter detailing your most relevant quantitative research projects and your motivation for this role.
2. Complete a take-home technical assessment focused on model design, statistical reasoning, and problem-solving—typically 3–5 hours to complete on your schedule.
3. Participate in two live interviews: a technical deep-dive with our research team and a culture-fit conversation with a senior leader.
4. Receive a decision within 2–3 weeks of application submission. If selected, we’ll provide a detailed offer letter and onboarding roadmap tailored to a remote start.

Join us in shaping the future of data-driven innovation—from any location in the world. We can’t wait to review your application and discuss how your expertise can drive meaningful impact across our platforms.