Data Scientist (LLM-experience)
Role Description
We are seeking a highly skilled and motivated Data Scientist with expertise in Large Language Models (LLMs) to join our dynamic health tech startup. Our mission is to leverage cutting-edge technology to provide personalized health insights and recommendations, ultimately enhancing user well-being and engagement. As a Data Scientist, you will play a crucial role in analyzing user data, developing predictive models, and creating innovative algorithms that drive our platform's functionalities.
Your primary focus will be on transforming complex data sets into meaningful health insights through advanced analytics, ensuring that our recommendations are scientifically accurate and user-friendly. Additionally, you will collaborate with a multidisciplinary team, including health practitioners and software engineers, to integrate your data solutions seamlessly into our application. This role requires a blend of technical expertise, innovative thinking, and a passion for health technology, making it an exciting opportunity to impact millions of lives positively.
Key Role Outcomes
- Build models to deliver personalized health recommendations based on individual profiles and data, improving adherence to suggested health check-ups and lifestyle changes.
- Enhance user engagement by implementing gamified health checklists and tracking methods, leading to higher completion rates of health-related tasks.
- Extract actionable insights from user data to refine recommendation algorithms, ensuring that health advice remains accurate and relevant.
- Collaborate effectively with health practitioners and technology teams to develop new features that enhance the overall user experience based on data-driven insights.
Responsibilities
- Gather, clean, and preprocess user data to ensure accuracy and relevance in health assessments.
- Design, create, and implement machine learning models, particularly LLMs and RAGs, to generate personalized health advice tailored to individual user profiles.
- Collaborate with health practitioners and engineering teams to translate medical insights into effective data-driven applications.
- Analyze testing results and user feedback to refine recommendation algorithms, improving overall accuracy and user satisfaction.
- Support in developing user-friendly tools that gamify health checklists and tracking, enhancing user engagement and adherence to recommendations.
- Present findings and analytical insights to stakeholders clearly, ensuring effective communication of complex data concepts.
Requirements
Must Have:
- Bachelor’s degree in a quantitative discipline (Mathematics, Statistics, Computer Science, Engineering); Master’s or PhD is a significant plus.
- Proven experience in Data Science or a similar role, with a focus on machine learning and predictive modeling.
- Hands-on experience with Large Language Models (LLMs), especially Retrieval Augmented Generation models (RAGs), including training and deployment of models like GPT or BERT.
- Proficiency in Python and experience with data manipulation libraries (Pandas, NumPy) and machine learning frameworks (TensorFlow, PyTorch).
- Strong SQL skills for querying and managing large datasets.
- Solid understanding of statistics with the ability to evaluate model performance effectively.
- Ability to communicate complex data findings to non-technical stakeholders clearly.
- Experience with data visualization tools (e.g., Tableau, Matplotlib) to present insights.
Good to Have:
- Experience in the health tech industry or knowledge of healthcare data regulations (e.g., HIPAA).
- Familiarity with cloud platforms (AWS, Google Cloud, Azure) for deploying models and managing data pipelines.
- Understanding of DevOps practices, including version control (Git) and CI/CD.
- Knowledge of gamification principles for designing engaging user experiences.
- Strong problem-solving skills with a proactive approach to data challenges.
Want to apply?
Please send you CV to anna@sfdstrategy.com or Telegram: @AnnaAlign
