Data Scientist

September 4

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Center for Open Science

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Our mission is to increase the openness, integrity, and reproducibility of research.

Python • Javascript • Science • Statistics

11 - 50

💰 $7.5M Grant on 2016-05

Description

• Lead data strategist to identify and integrate data throughout the organization. • Use available data to answer critical organizational questions and conduct deeper analyses. • Work closely with the Engineering team to inform strategy and enhance data pipelines. • Enable democratization of data science across teams and external stakeholders. • Oversee documentation and implement good data management practices. • Maintain and troubleshoot workflows for gathering and visualizing data. • Contribute to research studies to improve implementation of COS’s Theory of Change. • Articulate insights from data science activities to the team.

Requirements

• Advanced experience with forecasting, statistical, network analysis, and other analytical approaches to answer strategic questions • Familiarity with A/B testing • Advanced experience with data analysis tools to manipulate data and draw insights from large and small data sets (Python, R, and SQL required) • Experience with database solutions (Postgres DB/SQL Databases, ElasticSearch, BigQuery) • Familiarity and experience with Object Relationship Management/Object Relational Mapping systems (such as Django/SQLAlchemy) • Experience accessing scholarly databases and leveraging REST APIs • Experience with data visualization tools • Experience working with data engineers and software engineering teams to develop documentation and data pipelines leveraging a variety of data sources • Experience with project management software (e.g., Confluence, Asana) • Experience articulating and translating business/strategy questions and using statistical techniques to arrive at an answer using available data • Experience creating and implementing data pipelines, processes for data analysis and visualization, and for reporting out insights to the organization • Experience identifying and integrating data sources in various states of maturity • Advanced experience with data cleaning and validity for uniformity and accuracy • Experience leading others in data specification and shared understanding of data access and utility