Data Scientist

As a Data Scientist at Flagler in New York City, your main responsibilities will include developing large language models (LLM) and other machine learning-based approaches to extract insights from diverse healthcare data. You will design and enhance machine learning models for operational analytics aimed at optimizing clinical operations, as well as develop Reinforcement Learning models to leverage effective feedback from physicians and patients. Your work will help guide the company towards achieving critical goals while ensuring high safety and performance standards.

To apply for the Data Scientist role at Flagler, you should possess proven experience in data science, especially within the healthcare or operational analytics sectors. Essential qualifications include strong programming skills in Python, expertise with modern data science and machine learning libraries such as PyTorch and HuggingFace, and a deep understanding of both classical statistical methods and contemporary deep learning techniques. Additionally, experience in developing and deploying machine learning models, specifically in real-world applications, is paramount.

When applying for the Data Scientist position at Flagler, you can showcase your machine learning expertise through your portfolio of completed projects and research. Highlight any specific experience related to healthcare data analytics, particularly where you have successfully implemented LLM or Reinforcement Learning techniques. It's beneficial to provide insights into your problem-solving processes and results achieved, as well as any relevant work done using Python and popular ML libraries.

At Flagler, the hiring process for the Data Scientist position focuses on selecting candidates who best fit the role without traditional online leetcode assessments. Given the high volume of applications, only candidates chosen for interviews will be contacted. The process will likely involve an introductory discussion to evaluate your overall fit, skillset, and potential contributions to our team, especially in relation to healthcare analytics and machine learning.

Working at Flagler offers Data Scientists a unique opportunity to make a significant impact on healthcare through AI innovation. The company's growth trajectory is promising, and you'll have a chance to design and build foundational data systems that can affect clinical operations and patient care. Being part of a fast-growing startup environment also means continuous learning and experimentation, with the added bonus of collaboration with a diverse and talented remote team across the US and Canada.

In your response, be specific about any machine learning projects you've worked on, detailing the types of healthcare data you analyzed and the outcomes of your implementations. Highlight your familiarity with LLM, Reinforcement Learning, or other relevant techniques and how they helped address healthcare challenges.

Discuss strategies you have used to preprocess unstructured healthcare data, such as text or images. Include details about any tools or libraries you utilized, your method for extracting meaningful insights, and the impact of your findings on your overall project goals.

Explain your testing and validation processes, including cross-validation techniques, performance metrics, and methods to mitigate bias. Highlight how you iterate on model improvement based on feedback from users and performance assessments.

You'll want to emphasize your expertise in Python and any specific libraries you have worked with, such as PyTorch, HuggingFace, or scikit-learn. Provide examples of how you have used these tools in your past projects effectively.

Choose a specific challenge, describe the context and complexity, and detail your thought process and the steps you took to address the situation. Make sure to highlight the skills you used and the lessons you learned that are applicable to the Data Scientist role at Flagler.

Discuss the importance of clear communication and teamwork in your projects. Give examples of how you have successfully collaborated with different teams, describing how this led to improved project outcomes and decision-making.

Share your insights on specific algorithms that have delivered results in healthcare contexts, such as decision trees, random forests, or deep learning models. Explain the scenarios where each algorithm excels and how they align with the goals of the Data Scientist role at Flagler.

Detail your favorite resources for keeping abreast of advancements in the field, such as academic journals, online courses, podcasts, or conferences. Highlight any professional networks or communities you engage with that enhance your knowledge and skills.

Share your passion for healthcare and the transformative potential of AI in this field. Explain how Flagler's mission resonates with you and what excites you about the prospect of contributing to a company focused on impactful health solutions.

Discuss aspects like scalability, production environment setup, monitoring, and the mechanisms for model retraining and updating. Emphasize the importance of these considerations in maintaining model performance in the healthcare AI domain.