Remote Senior Data Scientist / LLM Engineer

Description:

• Qventus is a leader in healthcare transformation, focusing on patient care through innovative solutions that utilize machine learning, generative AI, and behavioral science.
• As a Senior Data Scientist / LLM Engineer, you will explore Qventus’ healthcare dataset to develop advanced solutions using various machine learning and statistical methods.
• You will evaluate modeling approaches, build features, implement algorithms, and collaborate with product teams to enhance ML & LLM solutions.
• The role involves solving operational challenges in healthcare by developing and tuning impactful models.
• You will collaborate with Product and Clinical partners to deploy proof of concept solutions in strategic business areas.
• Designing experiments and analytics to measure the impact of interventions in healthcare settings is a key responsibility.
• You will create tools to improve transparency in Data Science architecture and foster collaboration with engineering and analytics teams.

Requirements:

• You must have 3+ years of research experience with a variety of statistical and machine learning techniques, especially in NLP and explainable ML using Python.
• A minimum of 2 years of industry experience in developing, launching, and maintaining machine learning systems at scale is required.
• You should have at least 1 year of experience in developing and tuning LLM systems, with strong experience in RAG preferred.
• Strong cross-functional communication skills with both technical and non-technical partners are essential.
• Hands-on data engineering experience, including data manipulation, cleaning, and pipeline creation using SQL and Python, is necessary.
• A strong foundation in software development, with a focus on high code quality and maintainability, is required.

Benefits:

• The salary range for this position is $150,000 to $180,000, based on various factors including location and experience.
• Qventus offers Open Paid Time Off, paid parental leave, and professional development opportunities.
• Additional benefits include wellness and technology stipends, a generous employee referral bonus, and employee stock option awards.
• The company is committed to diversity, equity, inclusion, and belonging, ensuring fair hiring processes and meaningful roles for underrepresented groups.