Data Scientist building AI fraud detection models for Oscilar’s risk platform. Analyzing large datasets and strengthening fraud prevention for banks, fintechs, and digital organizations.
About the role
- Microbiome Data Scientist analyzing microbiome and clinical data for Tiny Health’s precision testing platform. Developing biomarkers, metrics, publications, and new personalized-health products.
Responsibilities
- Analyze microbiome data, including taxa abundances, diversity metrics, and functional genes, to support research questions
- Develop and maintain microbiome metrics and biomarkers using statistical and machine learning methods
- Conduct statistical analyses of longitudinal clinical data
- Prepare data visualizations, reports, and presentations for stakeholders and publications
- Draft research protocols, statistical analysis plans, and clinical study reports
- Work independently across multiple projects in a fast-paced, collaborative environment
- Support development of new product and study concepts
- Contribute to scientific publications, proposals, and internal knowledge-sharing
- Work closely with microbiome experts and report to the Head of Science
Requirements
- Master’s or PhD in a relevant field such as data science, computational biology, bioinformatics, systems biology, or microbiology preferred
- 3+ years of full-time relevant experience following completion of a Master’s, or 0–1+ years of relevant experience with a PhD
- Strong background in statistics, machine learning, and data visualization
- Proficiency in R and/or Python
- Experience with SQL and large datasets preferred
- Experience with microbiome data analysis, including 16S or shotgun metagenomics, highly desirable
- Excellent written and verbal communication skills
- Self-motivated, organized, and able to work independently in a remote-first environment
- Previous experience in a fast-paced startup environment preferred
- Work experience in DTC health/wellness companies preferred
- Experience working remotely and proficiency in Slack preferred
- Ability to leverage AI in daily tasks while understanding its blind spots
- Self-directed, proactive, and comfortable with ambiguity
Benefits
- Remote-first work arrangement
- Flexible core hours: 9am–6pm CST, shiftable by up to two hours either way
- Mission-driven work with direct impact on families and health practitioners
- International, diverse team
- Slack-first written communication and asynchronous collaboration
- Flexible working environment supporting employees with children
- Opportunities to contribute to scientific publications, proposals, product development, and internal knowledge-sharing
- High autonomy and scope in a venture-scaled company
Job title
Job type
Experience level
Salary
Not specified
Degree requirement
No Education Requirement
Tech skills
Location requirements
Report this job
Found something wrong with the page? Please let us know by submitting a report below.
GTM Analytics Lead owning revenue data models, metrics, and Sales BI. Powering decisions for ButterflyMX’s smartphone - based building access platform.
Data Scientist developing models, dashboards, and analytics to detect transactional fraud at Desjardins, North America’s largest cooperative financial group. Deploying and monitoring mitigation tools.
Senior Data Scientist powering product and operational analytics for Flagler Health’s musculoskeletal care platform. Measuring patient journeys, clinical workflows, engagement, and business performance.
TD digital analytics expert optimizing banking customer journeys through web and mobile data. Delivering dashboards, insights, and recommendations to improve conversion, engagement, and digital performance.
Staff Data Scientist embedded across growth, product, AI, or partnerships at Jerry.ai, an AI - powered platform managing car and home ownership. Defining metrics, running experiments, and driving data - informed business decisions.
Technical Lead governing AI data readiness and API gateways at Coupa, whose platform helps businesses optimize total spend. Defining safeguards for GenAI applications, data quality, compliance, and observability.
Senior Principal Data Scientist building predictive models and evaluation systems for Autodesk’s agentic AI design platform. Defining telemetry, experimentation, and product intelligence for complex user workflows.
Senior Data Scientist evaluating football ML models for SumerSports’ NFL intelligence platform. Building rigorous testing, comparison, and experimentation tooling for production model quality.
Data Scientist developing fraud detection solutions for Desjardins, North America's largest cooperative financial group. Applying data science expertise to protect financial products and services from fraud.