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Salary
$97k – $184k per year
Location
In office (United States)
Seniority
Middle · 4+ years exp
Visa
H-1B filings in 12 months: 12 · for this role: 6 · green card filings: 1
Employment
Full-Time

Confirmed on the employer's own hiring board on Oct 11, 2026. First seen by Alion on Sep 11, 2026.

Overview
Company
Impact
Profile match
Get the world's best ebooks, audiobooks, podcasts, magazines, documents, and more. Find anywhere else. Home to the world's documents, 300M+ and counting.

Join Scribd, Inc., a leading digital library and reading subscription service. As a Data Scientist II, you will leverage machine learning, natural language processing, and generative AI models to develop high-impact solutions. You will collaborate with cross-functional teams, process massive amounts of data, and align with stakeholders on project approaches and results. Enjoy a comprehensive benefits package, including healthcare coverage, paid parental leave, and a 401k matching plan.

Missions

  • Concevoir et mettre en œuvre des systèmes d'IA et d'apprentissage automatique à fort impact, en se concentrant sur une variété de cas d'utilisation de classification de contenu.
  • Collaborer avec d'autres scientifiques des données, ingénieurs en apprentissage automatique et ingénieurs en données sur des projets transversaux, en utilisant une variété d'algorithmes et de modèles.
  • Aligner avec les parties prenantes par le biais de méthodes de communication écrite et verbale sur les approches et les résultats des projets, tout en rédigeant une documentation de projet détaillée, précise et concise.

Profil recherché

- 4+ years of post qualification experience developing machine learning models, working with systems at scale and deploying to production environments

- Intermediate level or greater experience with SQL or PySpark

- Intermediate level in at least three of these fields: classification algorithms, natural language processing, search, information retrieval, named entity recognition, deep learning, generative models

- Hands-on experience building ML pipelines and working with distributed data processing frameworks like Apache Spark, Databricks, or similar

- Proficiency in Python

- Bachelors or Masters in relevant quantitative discipline including but not limited to Statistics, Computer Science, Data Science, Artificial Intelligence or another field with a strong quantitative focus

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