Data Engineer, Encounters Intelligence

AcuityMD•Boston, MA

3d•Remote

About The Position

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. We are a team of agentic builders who rely heavily on AI development practices to accelerate our ability to deliver value to our customers. We believe in extreme ownership and agency, where every engineer takes responsibility for working throughout the organization to land impact with customers. We're a close-knit team that enables high levels of autonomy by constantly communicating our intentions, sharing problems and learnings, and helping each other learn and grow. 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. We are hiring for multiple levels! 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.

Requirements

4+ 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
Can translate and explain technical requirements, recommendations and code clearly and concisely for non-technical audiences.
Opinionated about statistical techniques or Python libraries
Must have an eligible work permit in the USA to be considered for this position.

Nice To Haves

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

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

Benefits

Highly competitive cash compensation
Equity
Reimbursements for relevant learning and up-skilling opportunities (Learning Budget)
Full-remote flexibility for employees in the US
Work-from-home stipend
Generous time off and flexible hours (Flexible PTO)
100% paid health, dental, and vision plans for all employees
75% paid health, dental, and vision plans for employees' dependents
$1,000 to invest in remote office equipment and WiFi reimbursement (Home Office Stipend)
Optional Team Retreats
8-16 weeks of fully-paid, flexible parental leave