Senior Data Scientist

Dotdash Meredith
New York, United States
Workplace: HybridFull timeUSD 160,000 - 190,000 annuallyFunction: Data Science & Machine LearningEducation: mastersSkills: ["Communication","Statistical discipline","Experiment design","Problem-solving","Collaboration"]

Own the end-to-end science behind personalization and a recommendation engine powering each user’s product feed. Design, build, evaluate, and productionize multi-signal recommendation models from raw user signals and large-scale retailer catalogs, with a focus on cold-start. Define success metrics, run rigorous offline/online experiments, and deploy models through the existing MLOps pipeline. Collaborate to integrate model performance, monitoring, and iteration as data grows.

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Dotdash Meredith
Dotdash Meredith
3 days ago

Senior Data Scientist

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Last checked: 16 hours agoStatus: Live

Job Summary

Own the end-to-end science behind personalization and a recommendation engine powering each user’s product feed. Design, build, evaluate, and productionize multi-signal recommendation models from raw user signals and large-scale retailer catalogs, with a focus on cold-start. Define success metrics, run rigorous offline/online experiments, and deploy models through the existing MLOps pipeline. Collaborate to integrate model performance, monitoring, and iteration as data grows.
Location: New York, United States
Workplace: Hybrid
Employment Type: Full time
Job Function: Data Science & Machine Learning
Seniority: Mid level

Key Responsibilities

  • •Design and develop core multi-signal recommendation models that transform user-saved product data into personalized feeds.
  • •Define personalization success metrics and run rigorous offline/online evaluation and experiments (A/B and multivariate) to guide product decisions.
  • •Engineer and enrich model features by writing SQL (BigQuery) to build training and evaluation datasets from user behavior and catalog attributes.
  • •Apply NLP and computer-vision techniques to extract structured attributes from product text and imagery and support sparse catalog enrichment.
  • •Take models from prototype to production by writing production-quality code and deploying into the existing MLOps pipeline, instrumenting performance and iterating as signals accumulate.

Pay and Benefits

Salary: USD 160,000 - 190,000 annually
Perks:Health InsuranceDentalVisionPaid Leave401kParental LeaveLife InsuranceCommuter Benefits

Key Requirements

  • •Master’s degree or higher in Computer Science, Statistics, Machine Learning, Applied Mathematics, or equivalent practical experience.
  • •Strong data science fundamentals, including statistics, experimental design, and evaluation methodology to translate results into product and business decisions.
  • •Hands-on ownership of the A/B testing lifecycle: designing experiments, running them, interpreting results, and making decisions.
  • •Experience designing, training, and deploying embedding models and vector retrieval at catalog scale (e.g., Milvus, Pinecone, or Vertex AI Vector Search).
  • •Strong Python and modern ML frameworks (PyTorch, TensorFlow, or JAX), plus the scientific stack (pandas, NumPy, scikit-learn) and strong SQL in a cloud data warehouse (BigQuery preferred).
Experience:PersonalizationRecommendation systemsA/B testingMLOpsRetail/commercial catalogsEmbeddingsVector searchCold-start personalizationLLMs
Education:Master's
Skills:CommunicationStatistical disciplineExperiment designProblem-solvingCollaboration
Tech Stack:PythonPyTorchTensorFlowJAXPandasNumPyScikit-learnSQLBigQueryGCPVertex AISageMakerMilvusPineconeVertex AI Vector SearchFeature storeMLOpsA/B testingMultivariate testingEmbeddings

Company Brief

Dotdash Meredith
Dotdash Meredith is a major digital and print media company producing lifestyle, entertainment, and news content across numerous brands and platforms, combining Dotdash's digital expertise with Meredith's legacy publishing portfolio following their 2021 merger.
Industry: Publishing
Company Size: Enterprise (1,001+ employees)
Growth: Established Company
Headquarters: New York, United States
Founded: 2021
WebsiteLinkedIn