Senior Data Analyst

24 hours ago


Durham, North Carolina, United States RTI International Full time
Overview
R TI International is seeking a highly skilled data scientist to join our team in the innovation economics and policy practice. Our team applies quantitative and qualitative skill sets to produce high-quality research for government agencies, foundations, and non-profit organizations. We require implementing the best available theory and methods in assessing research, development, and innovation programs and their economic outcomes to report cogent and actionable results to our clients.

The successful candidate will work with economists and policy analysts to apply machine learning and data science approaches to assess research, development, and innovation policies and programs. They will do this by building new models or utilizing existing standard models and methods. The role requires training in data science, machine learning, economic modeling, or related disciplines and experience applying modeling best practices in the maintenance and enhancement of core datasets and identifying fit-for-purpose technical approaches in partnership with senior staff and project teams.

The successful candidate will be expected to contribute to the following task areas: conduct literature reviews to identify best available data and/or best practices for data processing and analysis; design, execute, and communicate data analysis and research; lead the maintenance of core datasets to our analyses in replicable code and version-controlled repositories; participate in and/or lead projects, tasks, and staff in a wide variety of technical activities including data pipeline development and orchestration, data wrangling/munging, data infrastructure, ETL processes, exploratory data analyses, DataOps, AI and machine learning, deep learning, natural language processing, microsimulation modeling, MLOps, generative AI and Large Language Models, computer vision, automation, cloud computing, social media analytics, privacy analytics, rapid prototyping, data visualization, and user-centered design;

We seek a candidate with a clear interest in R&D and innovation programs, a versatile technical skill set, demonstrated R and/or Python programming experience, and strong writing skills. Qualified applicants should have a Master's degree and three years of relevant work experience or a Bachelor's degree and five years of relevant work experience. Demonstrated experience collecting, processing, managing, and analyzing data, including experience with and knowledge of best coding practices for one or more of the following: R, Python, Julia, or related programs. Excellent verbal and written communication skills, including ability to communicate complex issues to a wide range of audiences.
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