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    Data Scientist - San Francisco, United States - Infinitus Systems, Inc.

    Infinitus Systems, Inc.
    Infinitus Systems, Inc. San Francisco, United States

    3 weeks ago

    Default job background
    Technology / Internet
    Description
    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.
    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.
    Requirements
    • 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.
    Infinitus Systems, Inc. is an early stage startup building a voice automation platform to enable businesses to communicate with each other efficiently. Infinitus has raised $51.4M to date and is backed by Kleiner Perkins, Coatue Management and Google Ventures. 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. At Infinitus, you will have a unique perspective on the development of cutting edge technology while working with major players across the healthcare industry in the US.
    Infinitus is made up of engineers, product managers, AI trainers, and operations specialists who collaborate on all kinds of projects. We not only encourage each other to do our best work, we also share our pet pictures, our favorite recipes, and stories from our vacations.
    At Infinitus Systems, we are committed to providing an environment of mutual respect where equal employment opportunities are available to all applicants and teammates without regard to race, color, religion, sex, pregnancy (including childbirth, lactation and related medical conditions), national origin, age, physical and mental disability, marital status, sexual orientation, gender identity, gender expression, genetic information (including characteristics and testing), military and veteran status, and any other characteristic protected by applicable law. Infinitus Systems believes that diversity and inclusion among our teammates is critical to our success as a global company, and we seek to recruit, develop and retain the most talented people from a diverse candidate pool.
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