What are the responsibilities and job description for the Data Scientist position at VaxCare?
ABOUT VAXCARE
VaxCare is a vaccine dispensing platform that leverages proprietary technology to improve immunization rates and overall vaccine program profitability. We are problem solvers at heart. We love to tackle challenges with an analytical spin, and we are constantly looking for ways to employ new technologies to develop tools and solutions that help accomplish our vision of getting the right medications to the right patients at every encounter.
THE POSITION
VaxCare is currently seeking an experienced Data Scientist to work within our Data Analytics team. The ideal candidate should have experience solving critical business problems in a data driven way with the ability to communicate results clearly to key stakeholders.
The Data Scientist will be responsible for working with key members within VaxCare to build generative AI applications for internal stakeholders. This includes leveraging state of the art techniques and methodologies to deliver solutions to create content such as text, images, code, and synthetic data. The ideal candidate will have a strong background in mathematics, statistics, and communication with a genuine curiosity to learn new technologies and techniques. They must be comfortable working with domain experts to improve business outcomes and have a passion for solving difficult problems.
RESPONSIBILITIES
- Work with stakeholders throughout the organization to identify opportunities for leveraging company data to drive business solutions.
- Develop and fine-tune generative AI models, including large language models (LLMs) and foundation models, to create content such as text, images, code, and synthetic data.
- Collaborate with cross-functional teams to understand business requirements and translate them into AI solutions.
- Implement prompt engineering techniques to guide LLM behavior for specific tasks.
- Utilize Retrieval Augmented Generation (RAG) to combine LLMs with external knowledge retrieval systems.
- Illustrate the ideas underlying model development to a range of audiences: technical and non-technical, internal and external, academic research and marketing.
- Develop end-to-end algorithms for productized models: model specs, training data generation, testing and parameter tuning.
- Coordinate with different functional teams to implement models and monitor outcomes.
- Develop processes and tools to monitor and analyze model performance and data accuracy.
- Create a plan with the team to scale our solutions, automate code and centralize complex logic. Advocated for good engineering practices within the team like documentation and code reusability.
- Present findings, insights and analytical results to internal partners for client deliveries, as well as the larger DS function for continued growth and learning.
- Stay updated with the latest advancements in generative AI and machine learning technologies.
DESIRED EXPERIENCE
- Minimum 5 years of experience in a data scientist role.
- Have a Master or PhD.
- Experience with deploying generative AI Models for production use.
- Knowledge of a variety of machine learning techniques (clustering, decision tree learning, artificial neural networks, etc.) and their real-world advantages/drawbacks.
- Knowledge of advanced statistical techniques and concepts (regression, properties of distributions, statistical tests and proper usage, etc.) and experience with applications.
- Ability to do exploratory analysis on large volumes of data and find key descriptive and inferential properties.
- Strong problem-solving skills with an emphasis on product development.
- Experienced with development tools and data cataloging, search, analysis, visualization, and reporting tools such as Power BI and Tableau.
- Strong SQL skills.
- Experience using statistical programming languages (R, Python) to manipulate data and gain insights.
- Experience working with Databricks, Microsoft Azure (or similar cloud platform) and Salesforce is a plus.
Note: Team Members in this position will be responsible for implementing and acting in accordance with VaxCare’s information security policies; protecting assets from unauthorized access, disclosure, modification, destruction or interference; executing specific security processes or activities as assigned by the Information Security and/ or Privacy officers; and reporting security events or potential security risks to the organization.
