Key skills
Data modelingStatistical techniquesPythonTime series analysisGeospatial datasetsDemographic datasetsBigQueryGoogle Cloud StorageCommunication skillsMentoringProblem-solvingLarge Language ModelsdbtGoogle CloudCloud StorageSaaSLeadership
About this role
AcuityMD is a high-growth SaaS company focused on accelerating access to medical technologies through their software and data platform. The Data Engineer/Data Scientist will lead the evolution of healthcare data assets, build new data products, and improve existing ones while collaborating with cross-functional teams.
Responsibilities:
- Transform , model, and integrate raw data of varying quality from a wide range of data sources into usable, documented and high quality data and intelligence products by applying data modeling and statistical techniques
- Identify, research, and develop new statistical approaches and new types of data to improve and extend our core healthcare data products
- Lead feature and product development cycles from defining Customer problem statements through to delivering solutions
- Work directly with product managers and cross-functional stakeholders to influence and build our Product development plans and roadmap
- Provide thought leadership on data science techniques and mentoring to junior data engineers
- Document and communicate technical and quantitative concepts, schemas, and data product usage guidelines with appropriate levels of detail for internal and external stakeholders
Requirements:
- 3+ years of experience working in a data science or similar role, delivering analytic models as Data Products or Data Solutions
- Professional experience working with time series, geospatial, and/or demographic datasets to make forecasts or predictions
- Excited by extracting signals and information from messy, real-world datasets
- Ability to translate and explain technical requirements, recommendations and code clearly and concisely for non-technical audiences
- Opinionated about statistical techniques or Python libraries
- Familiarity across our data stack - BigQuery, Google Cloud Storage, dbt & Dagster
- Familiarity with insurance billing and other healthcare datasets
- Familiarity with incorporating large language models into development workflows