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Senior Data Scientist

The Atlantic

Job Overview

The Atlantic is seeking a Senior Data Scientist with a broad set of skills who can translate business problems into quantitative research projects and see them through to completion. The role will work closely with partners in Product, Engineering, and Growth to understand their strategic goals and identify opportunities where Data Science can bring value to the organization.

Data Science at The Atlantic covers a lot of ground, and we expect you to juggle multiple projects and work with multiple stakeholders. On some days you’ll be heads-down building a machine learning model to power unique onsite experiences for our readers; on other days you’ll work closely with stakeholders to understand their strategic goals and design an A/B test to achieve them.

Responsibilities

  • Analyze large datasets to report on nuanced experiment results, understand complex reader journeys, and identify key insights and opportunities for revenue and reader growth.
  • Translate open-ended business problems into quantitative research projects and machine learning problems; own the projects from hypothesis to analysis to delivery.
  • Evangelize best practices for website experimentation, bringing confidence and rigor to questions of test design, sample size, and methodology.
  • Spearhead the development of machine learning models focused on predicting user behavior, personalized recommendations, and natural language processing, potentially leveraging LLMs.
  • Collaborate with Engineering to deploy machine learning models and ensure actionable results.
  • Socialize an analytical mindset across the organization, advocating for data literacy, data-driven insights, and a culture of experimentation.
  • Present findings to stakeholders and leadership with the appropriate level of context and supporting data visualizations.

Qualifications

  • Relevant professional quantitative experience (not necessarily in the media industry).
  • Experience communicating effectively with peers, stakeholders, and leadership.
  • Strong SQL skills.
  • Experience in Python or R (Python preferred).
  • Experience applying statistics to strategic problems.
  • Knowledge of statistical methodologies and tools, including experimentation design.
  • Demonstrated success analyzing large datasets.

Tools and Technologies

  • We work in Python, R, and SQL, on platforms such as Google BigQuery, dbt, Hex, and Looker.

Location

This position is located in Washington, DC or New York City.

About The Atlantic

The Atlantic has, for more than 160 years, advanced ideas that matter and sparked global conversation on the most important issues of our time. We aim to bring clarity and original thinking to questions of consequence, on topics ranging from politics, the economy, and global affairs to technology, science, and culture. As the third-longest-running magazine in America, we find ourselves at a remarkable moment: one of both continuation and transformation, of upholding our legacy while continuously reinventing ourselves for the future.

Equal Opportunity Employer

The Atlantic Monthly Group LLC and its affiliates ("The Atlantic") are Equal Opportunity Employers. We do not discriminate against our applicants because of race, color, religion, sex (including gender identity, sexual orientation, and pregnancy), national origin, age, disability, veteran status, genetic information, or any other status protected by applicable law.

Job offers to work at The Atlantic are contingent upon the candidate’s successful completion of reference checks and compliance with The Atlantic's COVID-19 vaccination policy. The Atlantic requires all employees to be vaccinated against COVID-19, including subsequent boosters, and submit proof of vaccination status. Employees who cannot receive the vaccine because of a disability/medical contraindication or sincerely-held religious belief may request an accommodation (e.g., an exemption) to this requirement.

Benefits
Extracted with AI

  • Equal Opportunity Employer
  • COVID-19 vaccination policy

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