Statistical Analyst | Remote

Crossing Hurdles; United States; On-site; Part time

Job summary

A leading analytics firm is seeking a part-time remote role requiring expertise in mathematics and statistics. The position involves applying statistical analysis and developing mathematical proofs to support AI-driven projects. Ideal candidates will possess strong communication skills and the ability to work independently in a project-based environment. This role offers flexibility with a commitment of 10–40 hours per week.

Qualifications

• Professional experience in mathematics, statistics, or applied quantitative fields.
• Strong background in mathematical proof techniques and theoretical reasoning.
• Experience with computational mathematics and analytical modeling tools.
• Excellent written and verbal communication skills.
• Ability to work independently in a remote, project-based environment.

Responsibilities

• Apply statistical analysis and mathematical modeling to evaluate complex problems.
• Develop and review mathematical proofs, theoretical frameworks, and computational methods.
• Contribute structured quantitative insights to AI-driven research and evaluation projects.
• Translate advanced mathematical concepts into clear, well-documented explanations.
• Collaborate asynchronously on problem-solving and model improvement initiatives.

Skills

Mathematical analysis

Statistical modeling

Excellent written communication

Analytical thinking

Job description

Type: Part‑time position

Location: Remote

Commitment: 10–40 hours/week

Role Responsibilities

• Apply statistical analysis and mathematical modeling to evaluate complex problems.
• Develop and review mathematical proofs, theoretical frameworks, and computational methods.
• Contribute structured quantitative insights to AI‑driven research and evaluation projects.
• Translate advanced mathematical concepts into clear, well‑documented explanations.
• Collaborate asynchronously on problem‑solving and model improvement initiatives.

Requirements

• Professional experience in mathematics, statistics, or applied quantitative fields.
• Strong background in mathematical proof techniques and theoretical reasoning.
• Experience with computational mathematics and analytical modeling tools.
• Excellent written and verbal communication skills.
• Ability to work independently in a remote, project‑based environment.