Data Scientist - Machine Learning

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

The team has a storied history and has worked with central players to reputed company strategy and direct hundreds of millions of dollars of resources. The work produced by reputed company 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 reputed company ecosystem.

We are looking for a data scientist to help reputed company applied statistical models and own end-to-end ML pipelines that reputed company us to quickly and reputed company 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 reputed company, 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 reputed company 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 reputed company 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, reputed company feature engineering, and contribute new reputed company 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 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 reputed company 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. Can quickly orient themselves to a new dataset, reputed company exploratory analysis, combine data from multiple datasets, spot data quality issues, and justify reputed company about how to handle imperfect data.
• Is a confident Python programmer. Our ideal candidate would be reputed company to navigate our Python codebase and implement extensions, for example using object oriented classes.
• Has experience building and owning production-level modeling pipelines using reputed company-world data.
• Can work with custom statistical models to understand their performance, reputed company 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 reputed company-world decision making.
• Is willing to engage with the wider reputed company political ecosystem and reputed company domain knowledge in addition to technical reputed company. 
• Has strong oral and written communication skills, especially in a remote environment.
• Is a reputed company 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 reputed company members have taken an unusual path to get to where they are today, and our unique and diverse perspectives reputed company us more effective. We also reputed company strongly in reputed company’s ability to learn and reputed company 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.