Data Scientist - Machine Learning

Summary

Join Blue Rose Research, a leading progressive organization, as a Data Scientist. You will contribute to cutting-edge projects by developing and maintaining machine learning pipelines for analyzing randomized controlled experiments. This role demands full-stack data science skills, collaboration with a diverse team, and the ability to deliver actionable insights to stakeholders. The position offers a competitive salary, comprehensive benefits, and a remote work environment with an office in NYC. You will work on innovative projects with a fast-paced team, making a significant impact on progressive causes. We encourage applications from diverse candidates with varied backgrounds and experiences.

Requirements

• Has 2+ years of professional data science and/or machine learning experience
• Has significant experience with applied statistics and predictive modeling, including in randomized controlled experiments
• Has strong data-wrangling experience, and ideally knows SQL and relational databases
• Is a confident Python programmer
• Has experience building and owning production-level modeling pipelines using real-world data
• Can work with custom statistical models to understand their performance, develop custom, statistically rigorous metrics to understand performance, and use visualizations to find performance gaps (e.g. matplotlib, ggplot, or similar)
• Candidates must be authorized to work lawfully in the United States

Responsibilities

• Help build out a suite of end-to-end modeling pipelines to produce high-quality estimates of message effectiveness
• Improve pipeline reliability, data quality checks, and model diagnostics to increase confidence in our modeling outputs
• Build models, perform feature engineering, and contribute new ideas to improve our core data science approach
• Deliver actionable guidance to important internal stakeholders, helping them understand nuances of the model output
• Build subject matter context and think critically about what the data is saying to understand what’s real signal versus what’s a potential bug

Preferred Qualifications

• Has developed strong instincts about how to select the right modeling approach for a problem, evaluate model performance, and diagnose and debug modeling issues
• Can quickly orient themselves to a new dataset, perform exploratory analysis, combine data from multiple datasets, spot data quality issues, and justify decisions about how to handle imperfect data
• Our ideal candidate would be able to navigate our Python codebase and implement extensions, for example using object oriented classes
• Thrives in multi-disciplinary teams working with engineers, statisticians and political experts
• Is excited about working with less technical stakeholders and seeing how their work impacts real-world decision making
• Is willing to engage with the wider progressive political ecosystem and develop domain knowledge in addition to technical insight
• Has strong oral and written communication skills, especially in a remote environment
• Is a kind person and a team player who contributes to a warm working environment

Benefits

• Competitive salary
• Medical, dental, and health benefits
• Remote work