Fiduciary Data Scientist

Location: Remote / Flexible

Schedule: Flexible & Autonomous

Compensation: Hourly to start, with performance-based promotion to revenue share model

About Us

We are a niche, high-performance data science consulting firm operating with a fiduciary mindset — meaning we act in the absolute best interests of our clients, structuring engagements to align incentives and deliver measurable value. Our solutions span advanced analytics, AI/ML systems, automation, and strategic advisory, and we only succeed when our clients do.

Role Overview

We’re looking for an entrepreneurially minded Data Scientist who thrives in a high-autonomy environment, adapts quickly to diverse challenges, and has a passion for building impactful, measurable solutions. This role requires both technical depth and business acumen — you’ll be expected to own problems from discovery to production deployment, and continually expand your technical toolkit as new opportunities arise.

Our unique model rewards results, not just hours worked — starting hourly, with the opportunity to transition into a revenue-share compensation model for high-performing contributors.

Responsibilities

• Work from guidance provided by the Data Science Lead to understand project requirements, translate business objectives into technical solutions, and execute deliverables to specification.

• Design, develop, and deploy machine learning models, statistical analyses, and data pipelines tailored to each client’s unique objectives.

• Build and automate end-to-end analytics workflows across cloud platforms.

• Rapidly prototype and iterate on solutions while maintaining high-quality production code standards.

• Communicate findings clearly to both technical and non-technical stakeholders.

• Stay ahead of emerging tools, frameworks, and methodologies — applying them to deliver better, faster results.

• Operate with a fiduciary mindset, ensuring client ROI is at the forefront of every decision.

Qualifications

• Proven track record of delivering measurable business value from data science initiatives.

• Proficiency in a broad range of tools & technologies (e.g., Python, SQL, TensorFlow, PyTorch, scikit-learn, cloud platforms such as AWS, Azure, or GCP).

• Strong grounding in statistics, machine learning, and data engineering.

• Entrepreneurial mindset with the ability to work independently, self-manage priorities, and take ownership of outcomes.

• Excellent communication skills and the ability to bridge technical and business perspectives.

• Comfort working in ambiguous, rapidly changing environments.

• A continuous learner who embraces new challenges and technologies.

Compensation & Growth

• Starting Pay: Hourly, based on experience.

• Performance Path: High performers are transitioned into our revenue-share model, where earnings are tied directly to the measurable business impact you help create.

for those interested in the role, please inquire below