Data Scientist

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Latent

WebsiteLinkedInAll Job Openings

11 - 50 employees

Founded 2018

🏥 Healthcare

☁️ SaaS

🤝 B2B

Healthcare • SaaS • B2B

Latent is a healthcare-focused software development agency that builds secure, compliant digital products for healthcare organizations. They deliver custom healthcare software across the full lifecycle — from MVPs to post-launch maintenance — and emphasize regulatory compliance (HIPAA, GDPR, HL7/FHIR, ABHA), integrations with EHRs, CRMs, payment gateways and wearable APIs, and user-centric design. Offered services include telemedicine apps, clinical research software, wellness apps, diagnostic lab platforms, EMR/EHR systems, and medical device software. They highlight fast delivery (MVPs in 1-2 weeks), global availability across 14+ countries, and flexible engagement models (hourly or scope-based pricing). Latent operates as part of Alpha OBS LLP venture.

📋 Description

• Lead end-to-end development of machine learning and statistical models, from problem framing and feature engineering through to evaluation, iteration, and handoff to production • Dive deep into complex datasets to surface insights and work closely with engineers to define and validate the data pipelines that feed model development • Design and maintain robust evaluation frameworks for models, providing data-driven insights that inform modeling decisions, vendor selection, and architectural trade-offs • Hypothesize, design, implement, and measure experiments to identify optimal modeling approaches and generate actionable optimization steps • Serve as the data science lead on projects, engaging directly with customers' R&D and analytics teams, translating their business questions into well-defined modeling problems and driving tangible impact through your expertise • Hold a deep sense of accountability for your analysis and models, their quality, and timely delivery • Own the design, planning, and execution of the data science workstreams

🎯 Requirements

• Master's in Statistics, Data Science, Computer Science, Mathematics, or similar experience • Strong foundation in statistical modeling, machine learning, and model evaluation techniques • Proficiency in designing and running structured experiments, including A/B testing and causal inference methods • Hands-on experience with supervised and unsupervised learning across a range of problem types (classification, regression, clustering, time-series, etc.) • Experience working with LLMs and GenAI techniques as tools within the data science workflow • Excellent written and verbal communication skills in English, capable of translating complex analytical findings into clear, actionable narratives for technical and non-technical audiences • Strong programming skills in Python, including the data science stack (pandas, scikit-learn, etc.) • Comfort working with and querying large datasets using SQL or similar tools • Strong analytical and problem-solving skills with a healthy skepticism toward results • Proven ability to work independently, proactively own outcomes, and contribute effectively as part of a small, close-knit team

🏖️ Benefits

• Remote-first organization supporting a distributed culture built on trust, autonomy, and ownership • Agility and impact of a small, close-knit company paired with high-stakes technical projects