Data Scientist in Columbus at Vaco

Date Posted: 8/5/2019

Job Snapshot

Job Description


• Collaborate on the design, implementation, and validation of solution components using cutting-edge algorithms to analyze diverse data as a means to achieve clinical initiatives and support practice objectives.

• Write optimized code, applying statistical/ML models using database, and/or general programming languages/tools, and perform team code review for production-worthy software solutions.

• Utilize test-drive development and apply data-driven QA to guide the creation of quality software.

• Perform data exploration and data mining and conduct research on innovative solutions to apply to the team's clinical objectives.

• Provide mentorship and guidance to junior teammates, modeling effective working relationships.

• Discover business narratives told by the data and communicate them to other teammates, managers, etc.


• Bachelor's degree in Computer Science, Engineering, Physics, Statistics, Applied Math, or other quantitative fields and minimum 6 years of experience in quantitative analysis, data science, or related field; Master's degree + minimum of 4 years or PhD + minimum of 2 years of experience is preferred.

• Exceptional coding skills in Python with specific expertise with natural language processing and regex; other coding experience is a plus.

• Conducted research or have previous work experience using and implementing natural language processing-based solutions using a variety of standard and/or innovative approaches.

• Excellent understanding of machine learning techniques/approaches and algorithms.

• Ability to explore complex data sets and extract value from them using ETL and ad-hoc scripting skills.

• Familiarity with software tools/practices such as Git and unit/integration testing.

• Experience with data tagging practices and tools for supporting supervised machine learning NLP models.

• Experience with query languages and SQL databases and/or NoSQL database's such as MongoDB, Cassandra, HBase.

• Experience with data visualization tools such as Tableau, matplotlib, ggplot2.

• Familiarity with "Agile" and/or "Scrum" development cycles is preferred.

• Ability to thrive in collaborative and independent work environments.

• Ability to quickly learn and independently support existing products.

• Comfortable interacting with business peers and SMEs to understand and identify use cases and able to articulate solutions.

• Experience in the healthcare industry is desirable, but not required.

• Experience professionally communicating technical concepts to other technical and non-technical audiences.