Data Scientist

Description

At the Center for Open Science (COS), we build the tools to make it possible and easy for the research community to make scientific investigations' data, results, and outcomes open, transparent, and reproducible. Our team is dedicated to improving the alignment between scientific values and scientific practices to improve the accumulation and application of knowledge. The COS team moves quickly, identifies problems and creates solutions, encourages risk-taking, blends science and technology, and is collaborative, data-driven, and dedicated to openness.

We are looking for someone who is as passionate about open science as we are, and is ready to help drive change. This position will be responsible for strategic planning, implementation, and execution of the COS’s new Data Science effort and building towards engaging the metascience community to share insights, collaborate on research studies, and disseminate insights across the community. This includes extracting insights from internal data sources at COS, such as the Open Science Framework (OSF) and connecting these insights to external data sources across the scholarly landscape. The Data Scientist will also play a key role in creating and monitoring organizational indicators for strategic planning and facilitating cross-team collaboration and coordination. Examples might include: evaluating how researchers are using preregistration and outcome reporting, particularly from a workflow perspective; monitoring open science, particularly to enable data insights on OSF to be compatible with other data sources (e.g,. publications); conducting analyses to investigate how open science practices spread within and between research communities; implementing and supporting a data-driven strategy to continuously evaluate COS’s Theory of Change. The Data Scientist will supervise a Data Analyst.

Duties/Responsibilities:

• Serve as lead data strategist to identify and integrate data throughout the organization.

• Use the data available to answer critical organizational questions, conduct deeper analysis across data to bring forth new insights, and propose new data and analysis to support organizational strategy and decision-making.

• Work closely with the Engineering team to understand current data sources available, use them to answer specific and broad organizational questions to inform strategy, and to design the ideal data pipeline for expanding data science activities and insights delivered to the organization.

• Enable democratization of data science across teams, and potentially external stakeholders by aligning stakeholder needs, executing a data science roadmap to deliver insights to stakeholders, and designing a data pipeline accessible by teams.

• Oversee documentation of all processes, models, and activities by developing, documenting, and implementing good data management practices and data governance.

• Implement, maintain, and troubleshoot workflows and pipelines to gather, analyze, and visualize data necessary for reporting organizational goals (e.g., indicators) with an aim of being able to make content publicly accessible.

• Work closely with Research team members and contribute to the design and implementation of research studies that informs our continuous improvement of the implementation of COS’s Theory of Change.

• Articulate the insights gathered through the data science activities to a lay audience to bring teams shared knowledge concepts that translate across organizational activities.

Required skills:

• 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

Required experience and/or degree:

• Expertise (PhD or equivalent, such as Master’s degree with 3-5 years of experience) in computationally oriented research domain

• Experience providing leadership and executing multi-year projects

• Experience with personnel management preferred

This is a fully remote position with a requirement to attend up to 4 in person meetings per year. 

COS supports flexibility in work scheduling. Individuals who would like to work outside a 9am - 5pm Eastern Time (ET) schedule must work with their managers to establish core hours of availability. Modifications for different time zones will be considered for team collaboration.

Please apply by submitting a resume and answering the 3 qualifying questions in lieu of a cover letter. Answers to the qualifying questions should be succinct, please limit responses to approximately 250 characters. Questions about the position and COS are welcome and can be directed to jobs@cos.io. For information on COS, including more information on employee benefits and our company culture, visit our website at https://www.cos.io/careers.

Please note, in order to be considered for this position you must be authorized to work in the United States and have a U.S. address and bank account. Remote workers must be located within the U.S.

This position will remain open for applications until September 10, 2024.

COS is an equal opportunity employer and all qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity or expression, pregnancy, age, national origin, disability status, genetic information, protected veteran status, or any other characteristic protected by law. We also strongly encourage applications from members of groups underrepresented in science and technology industries.