AcuityMD
Tech / AI / Software
DataEngineer,EncountersIntelligence
Neural analysis suggests this role is
optimal for Mid candidates.
“Data Engineer, Encounters Intelligence at AcuityMD. Skills: data modeling, statistical techniques, time series, geospatial, demographic datasets, Python, BigQuery, dbt. 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. Identify, research, and develop new statistical approaches and new types of data to improve and extend our core healthcare data products”
Industry & Context.
extracting signals and information from messy, real-world datasets; turning complexity into simplicity
must have an eligible work permit in the USA to be considered for this position.
What They're Looking For.
Must Have
4+ years of experience working in a data science or similar role, professional experience working with time series, geospatial, and/or demographic datasets to make forecasts or predictions, translate and explain technical requirements, recommendations and code clearly and concisely for non-technical audiences, opinionated about statistical techniques or Python libraries, eligible work permit in the USA
Nice to Have
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
What You'll Do.
and integrate raw data of varying quality from a wide range of data sources into usable
documented and high quality data and intelligence products
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
Provide thought leadership on data science techniques and mentoring to junior data engineers
How You'll Work.
Team & Collaboration
work cross-functionally with engineering, product, and commercial organizations; Work directly with product managers and external stakeholders to influence and build our Product development plans and roadmap; Document and communicate technical and quantitative concepts, schemas, and data product usage guidelines with appropriate levels of detail for internal and external stakeholders
Communication Scope
translate and explain technical requirements, recommendations and code clearly and concisely for non-technical audiences; Document and communicate technical and quantitative concepts, schemas, and data product usage guidelines with appropriate levels of detail for internal and external stakeholders
Process & Methodology
Lead feature and product development cycles from defining Customer problem statements through to delivering solutions
Full Job Description
Data Engineer, Encounters Intelligence AcuityMD is a software and data platform that accelerates access to medical technologies. We help MedTech companies understand how their products are used, why customers vary, and identify opportunities for physicians to better serve their patients. Each year, the FDA approves ~6,000 new medical devices. Our solution helps MedTech companies get these products to physicians more effectively so they can improve patient care with the latest technology. We're backed by Benchmark, Redpoint, ICONIQ Growth, and Ajax Health. We're a high-growth AI and Data company scaling rapidly. In this role, you will help lead the evolution of AcuityMD’s core healthcare data assets . You will build new data and intelligence products, improve the quality and interpretability of existing data products, and deliver high confidence and repeatable intelligence that fuels our MedTech-specific modules. You will identify new approaches and new data that improve the quality of our data assets. You will report to the Engineering Manager, Data, and work cross-functionally with engineering, product, and commercial organizations. Team Mission The Data Team is on a mission to represent medical reality by transforming raw data into assets that directly generate sales for our customers and help to bring cutting edge medical technology to the patients that need it most. We thrive on the challenge of turning complexity into simplicity and driving the continuous growth of our products. We acquire terabytes of data from diverse sources, and refine them with modern data processing tools and machine learning algorithms. This shapes the future of our products and delivers value to the customers. 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 statisti
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