Blue Rose Research Logo

Blue Rose Research

Data Scientist - Machine Learning

Reposted 12 Days Ago
Remote
130K-170K
Junior
Remote
130K-170K
Junior
The Data Scientist will develop applied statistical models, create ML pipelines, and deliver insights on message effectiveness. Collaboration with interdisciplinary teams is essential.
The summary above was generated by AI

Blue Rose Research develops a wide range of cutting-edge products used by the most important progressive organizations in the country. Our research informs short- and long-term strategy for advancing progressive causes and has a trusted track record among key decision makers.

The team has a storied history and has worked with central players to develop strategy and direct hundreds of millions of dollars of resources. The work produced by Blue Rose Research is widely regarded as among the most technically sophisticated in the space. If you join us, you’ll be plugging into a diverse team of decorated engineers, data scientists and political analysts who are closely connected to some of the most important decision makers in the progressive ecosystem.

We are looking for a data scientist to help develop applied statistical models and own end-to-end ML pipelines that enable us to quickly and precisely measure the effectiveness of messages from randomized controlled experiments. This role requires full-stack data science skills, and will closely collaborate with our interdisciplinary team to scope technical needs, contribute new functionality to our machine learning framework, wrangle messy data and write ETL, train and iterate on models, and own modeling output that will be delivered to client-facing stakeholders.

We’re a fast and dynamic team, and you’ll be contributing to innovative work that evolves week by week. We’re looking for you to bring your passion for data science, a strong attention to detail, and a desire to make a big impact — sometimes under tight timelines.  

We offer a competitive salary, medical, dental, and health benefits, and a work environment that will support your differences. 

While the work is remote, we do have an office in NYC and a number of team members who work in-person regularly. Most of our team is on East Coast time.

You will:

  • 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. Our problems are not well suited to plug and play machine learning solutions and we often have to think creatively about the right ways to evaluate model performance.
  • Deliver actionable guidance to internal stakeholders, helping them understand the nuances of the model output.
  • Build subject matter context and interrogate the data to understand what’s real signal versus what’s a potential bug.

Our ideal candidate likely:

  • 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 developed strong instincts about how to select the right modeling approach for a problem, evaluate model performance, and diagnose and debug modeling issues. 
  • Has strong data-wrangling experience, and ideally knows SQL and relational databases.
  • Is a confident Python programmer. Our ideal candidate would be able to navigate our Python codebase and implement extensions, for example using object oriented classes.
  • 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).
  • 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.

We don’t expect every applicant to have expertise in every area listed above. We encourage you to apply if you don’t feel your experience and background sound like a perfect fit. Many of our team members have taken an unusual path to get to where they are today, and our unique and diverse perspectives make us more effective. We also believe strongly in our team’s ability to learn and excel at new skills and challenges. Join us!

The salary range for this position is $130,000 - $170,000 annually, commensurate with experience.

Candidates must be authorized to work lawfully in the United States.

Top Skills

Applied Statistics
ETL
Ggplot
Machine Learning
Matplotlib
Python
SQL

Similar Jobs

6 Days Ago
Remote
US
139K-161K
Junior
139K-161K
Junior
eCommerce • Insurance • Software
The Senior Data Scientist will build machine learning models, perform analytics, conduct A/B testing, and collaborate on data platform development.
Top Skills: PythonR
21 Days Ago
Remote
United States
125K-208K Annually
Senior level
125K-208K Annually
Senior level
Big Data • Transportation • Analytics • Big Data Analytics
As Lead Data Scientist, you will develop machine learning algorithms for ad tech optimization, analyze data, and influence business KPIs.
Top Skills: BigQueryPythonPyTorchRedshiftSagemakerScikit-LearnSparkSpark MllibTensorFlowVertex Ai
22 Days Ago
Remote
USA
Mid level
Mid level
Security
The AI/ML Data Analyst will develop models and dashboards using machine learning and visualization tools to support agency initiatives and decision-making.
Top Skills: Machine LearningPower BIPredictive AnalyticsPythonRSQLTableau

What you need to know about the Boston Tech Scene

Boston is a powerhouse for technology innovation thanks to world-class research universities like MIT and Harvard and a robust pipeline of venture capital investment. Host to the first telephone call and one of the first general-purpose computers ever put into use, Boston is now a hub for biotechnology, robotics and artificial intelligence — though it’s also home to several B2B software giants. So it’s no surprise that the city consistently ranks among the greatest startup ecosystems in the world.

Key Facts About Boston Tech

  • Number of Tech Workers: 269,000; 9.4% of overall workforce (2024 CompTIA survey)
  • Major Tech Employers: Thermo Fisher Scientific, Toast, Klaviyo, HubSpot, DraftKings
  • Key Industries: Artificial intelligence, biotechnology, robotics, software, aerospace
  • Funding Landscape: $15.7 billion in venture capital funding in 2024 (Pitchbook)
  • Notable Investors: Summit Partners, Volition Capital, Bain Capital Ventures, MassVentures, Highland Capital Partners
  • Research Centers and Universities: MIT, Harvard University, Boston College, Tufts University, Boston University, Northeastern University, Smithsonian Astrophysical Observatory, National Bureau of Economic Research, Broad Institute, Lowell Center for Space Science & Technology, National Emerging Infectious Diseases Laboratories

Sign up now Access later

Create Free Account

Please log in or sign up to report this job.

Create Free Account