Data Scientist; Senior; AI Analytics
Listed on 2026-10-14
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IT/Tech
Data Scientist, Data Analyst, AI Engineer (Applied/Software), Machine Learning/ ML Engineer
Infinitus is at the forefront of process automation in healthcare, dedicated to reducing costs and complexity through innovative NLP solutions. We are hiring a full‑stack data scientist to support our LLM efforts and AI innovation located in San Francisco. Infinitus is leading the way in changing healthcare by automating routine backend phone calls, saving healthcare providers time to focus on what matters most–their patients.
The Data Science team at Infinitus plays a pivotal role in advancing our mission through the adoption of a data‑driven methodology for crafting both NLP product and business strategies, establishing and evaluating key performance indicators, and continuously driving improvements to our AI platform. Collaborating intimately with teams in Product, Business, Design, Engineering, and the larger Data team, our Data Scientists employ methods such as experimentation, statistical analysis, machine learning, causal analysis, and data storytelling.
This collaborative effort aims to expand our comprehension of user interactions with our AI platform and to make strategic choices that enhance business outcomes.
Infinitus Systems, Inc. is an early stage startup building a voice automation platform to enable businesses to communicate with each other efficiently. Healthcare is one of the biggest contributors to the US GDP and we are on a mission to reduce the complexity and spend on healthcare backoffices.
Responsibilities- Designing and developing new methodologies for assessing and monitoring advancements in our suite of cutting‑edge AI and NLP products.
- Conducting and promoting strategic analyses to guide the direction of our AI innovations.
- Crafting ML and NLP models inline with our automation goals to foster business growth.
- Structuring and evaluating experiments to ascertain the effectiveness of novel LLM and ML functionalities.
- Strong desire to improve healthcare through automation.
- Advanced degree in a computational field such as computer science, math, linguistics, statistics, economics, or equivalent experience.
- 5+ years of experience in applying data science techniques to drive technical product development and decision‑making.
- Strong ability in managing stakeholders, communicating complex concepts to diverse audiences, crafting compelling stories and driving decisions.
- Expertise in Python together with relational data modeling and SQL.
- Expertise in machine learning, statistical methods and experimental design and analysis.
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