Growth Data Scientist



51-200 employees

Healthcare data analysis for improved patient access

Data & Analytics
AI & Machine Learning


Remote in USA

Required Skills
  • 3+ years of direct experience massaging and solutioning around messy, un-structured, and non-uniform data
  • 3+ years of data-focused work experience in a social, biological, or physical science; or demonstrable, analytical achievements in the governmental, public, or non-profit sector. (Plus point strong preference for research experience)
  • 5+ years of direct experience data-wrangling large datasets and direct expertise in quantitative analysis or large datasets, ability to tell a story backed by data
  • Meticulously investigate the data integrity and quickly pinpoint quality issues that need to be addressed
  • Explain targeted data-driven results that are client facing in a way that is consumable by client personnel and respond to their feedback to further solution and add value for the conversation
  • Align with client workstreams and create data-driven performance measures to support the strategy of improving client data accuracy
  • Iterate with internal key account stakeholders (Account Manager, Delivery PM, CSM) on data strategy to get to the right story for each client and account for potential objections
  • Setup processes for account manager requests and follow reproducible methods that can be standardized for client reports and presentations
  • Create and present meaningful and digestible visualizations and reports with charts and graphs to explain the data and associated conclusions
  • Work with Customer team to review large datasets in customer csv/xls files and assess what further analysis needs to be done to produce a client story
  • Utilize basic ETL and programming skills (SQL, Python, BASH, SQLite) to join, query, filter and manipulate data; applying your knowledge of provider data and customer situation
  • Present technical findings to leadership teams and customer stakeholders in a non-technical way
  • Distill client data into recommendations that are part of a holistic strategy for meeting enterprise goals
  • Create a strategy focused view of the data and identify long term trends that tie to client milestones

Veda is a unique blend of scientific curiosity and practical problem-solving, leveraging machine learning and data analysis to enhance healthcare outcomes and access. The company's tool, Quantym, offers a comprehensive data cleansing solution, ensuring accuracy and quality in healthcare databases, thereby reducing financial loss and driving efficiency in the industry. With a user base of over 15 million, Veda's commitment to empowering researchers and its robust data solutions make it a leading player in the healthcare innovation sector.

Company Stage

Series B

Total Funding



Madison, Wisconsin



Growth & Insights

6 month growth


1 year growth


2 year growth