Data Scientist II

Scribd
San Francisco, Atlanta, Austin, Boston, Dallas, Denver, Chicago, Houston, Los Angeles, Miami, New York, Phoenix, Sacramento, Salt Lake City, San Diego, Seattle, Washington, Ottawa, Toronto, Vancouver, Mexico City
Workplace: OnsiteFull timeUSD 118,000 - 184,000 annuallyFunction: Data Science & Machine LearningExperience: 3+ yearsSkills: ["Collaboration","Communication","Curiosity","Problem-solving","Documentation"]

Build and deploy high-impact AI and ML systems for content classification and other applied research use cases. Work with Applied Research alongside Machine Learning Engineers, Data Engineers, and Product to investigate problems at scale and deliver measurable results. Apply traditional NLP through modern LLMs and generative models, processing large datasets with Python, SQL, and Spark, and communicate approaches and outcomes through clear documentation.

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FursaFursa
Scribd
Scribd
1 month ago

Data Scientist II

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Last checked: 9 hours agoStatus: Live

Job Summary

Build and deploy high-impact AI and ML systems for content classification and other applied research use cases. Work with Applied Research alongside Machine Learning Engineers, Data Engineers, and Product to investigate problems at scale and deliver measurable results. Apply traditional NLP through modern LLMs and generative models, processing large datasets with Python, SQL, and Spark, and communicate approaches and outcomes through clear documentation.
Location: San Francisco, Atlanta, Austin, Boston, Dallas, Denver, Chicago, Houston, Los Angeles, Miami, New York, Phoenix, Sacramento, Salt Lake City, San Diego, Seattle, Washington, Ottawa, Toronto, Vancouver, Mexico City
Workplace: Onsite
Employment Type: Full time
Job Function: Data Science & Machine Learning
Seniority: Mid level

Key Responsibilities

  • •Focus on content classification use cases using traditional NLP, LLMs, and generative models.
  • •Investigate methods for solving challenging problems at Scribd at scale.
  • •Collaborate with Data Scientists, Machine Learning Engineers, and ML Data Engineers on cross-functional projects.
  • •Use a range of algorithms from classical Scikit-learn/NumPy models to custom neural networks in PyTorch and third-party LLM APIs.
  • •Process massive datasets with Python, SQL, and Spark and communicate approaches, results, and project documentation to stakeholders.

Pay and Benefits

Salary: USD 118,000 - 184,000 annually
Equity and Bonus:Equity
Perks:Health InsuranceDentalVisionDisability CoveragePaid LeaveParental LeaveRetirement MatchingEquityLearning BudgetWellness StipendHome OfficeWinter BreakSabbaticals

Key Requirements

  • •3+ years post-qualification experience developing machine learning models and deploying to production at scale.
  • •Proficiency in Python.
  • •Build ML pipelines and work with distributed data processing frameworks such as Apache Spark or Databricks.
  • •Intermediate knowledge in at least three areas: classification, NLP, search, information retrieval, named entity recognition, deep learning, or generative models.
  • •Bachelors or Masters in a quantitative discipline (e.g., Statistics, Computer Science, Data Science, Artificial Intelligence).
Experience:3+ years
Education:
Skills:CollaborationCommunicationCuriosityProblem-solvingDocumentation
Tech Stack:PythonSQLSparkApache SparkDatabricksScikit-learnNumPyPyTorchNeural NetworksLLM APIsNatural Language ProcessingGenerative modelsDeep learningClassificationNamed Entity RecognitionInformation RetrievalMachine Learning

Company Brief

Scribd
Scribd operates a subscription-based digital library offering unlimited access to books, audiobooks, magazines, and documents. The platform provides personalized recommendations and distribution tools for authors and publishers worldwide.
Industry: Publishing
Company Size: Medium (51 to 250 employees)
Growth: Established Company
Headquarters: San Francisco, United States
Founded: 2007
WebsiteLinkedIn