Senior Data Scientist, DTC

Levi Strauss
São Paulo, Santa Cruz, Mexico, Santiago, Lima, Colombia
Full timeFunction: Data Science & Machine LearningSkills: ["Mentoring","Leadership","Stakeholder communication","Experimentation","Risk mitigation"]

Drive the technical direction and delivery of advanced analytics, machine learning, and AI solutions for DTC, focusing on use cases such as CLTV, CRM optimization, segmentation, recommendations, personalization, and agentic AI. Own workstreams from problem framing through production deployment, mentor Data Scientists, and partner across regions to operationalize data products, improve processes, and deliver measurable revenue and cost impact.

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Levi Strauss
Levi Strauss
1 day ago

Senior Data Scientist, DTC

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Last checked: 19 hours agoStatus: Live

Job Summary

Drive the technical direction and delivery of advanced analytics, machine learning, and AI solutions for DTC, focusing on use cases such as CLTV, CRM optimization, segmentation, recommendations, personalization, and agentic AI. Own workstreams from problem framing through production deployment, mentor Data Scientists, and partner across regions to operationalize data products, improve processes, and deliver measurable revenue and cost impact.
Location: São Paulo, Santa Cruz, Mexico, Santiago, Lima, Colombia
Employment Type: Full time
Job Function: Data Science & Machine Learning
Seniority: Mid level

Key Responsibilities

  • •Own and drive the technical direction of multiple roadmap workstreams from problem framing through production deployment across the organization.
  • •Lead design of complex ML/AI solutions using advanced ML, deep learning, and generative AI to solve high-impact retail and consumer problems.
  • •Serve as primary technical point of contact for business stakeholders, translating business problems into data science solutions and communicating results to non-technical audiences.
  • •Mentor and coach Data Scientist 1 and Data Scientist 2 team members, including technical guidance on modeling approaches and code quality.
  • •Contribute to architectural decisions for ML/AI infrastructure (model serving, feature stores, observability) and enforce best practices for model development, testing, documentation, and deployment.

Key Requirements

  • •5+ years analyzing data and developing supervised and unsupervised models, including feature engineering, diagnostics, interpretability, and deployment.
  • •5+ years writing complex SQL queries and working with large datasets in cloud/Hadoop environments; experience with BigQuery and dbt.
  • •5+ years deploying machine learning algorithms in production.
  • •Experience with generative AI and LLMs (prompt engineering, RAG architectures, fine-tuning, and/or agentic frameworks such as LangChain or Google ADK).
  • •Strong Python and/or R skills, plus experience with data visualization tools and mentoring junior/mid-level data scientists.
Experience:RetailConsumerDTC
Education:
Skills:MentoringLeadershipStakeholder communicationExperimentationRisk mitigation
Tech Stack:PythonRSQLBigQueryDbtD3.jsR ShinyLookerTableauMachine LearningDeep LearningGenerative AILLMsPrompt engineeringRAGLangChainGoogle ADKGoogle Cloud PlatformVertex AIBigQuery ML

Company Brief

Levi Strauss
Designs, markets, and sells denim and casual apparel under the Levi's, Dockers, and related brands. The company operates globally through wholesale, retail, and direct-to-consumer channels.
Industry: Fashion & Apparel
Company Size: Enterprise (1,001+ employees)
Revenue: USD 5M to 10M
Growth: Public Company
Valuation: Public Company (Market Cap in USD)
Funding: IPO / Publicly Listed
Headquarters: San Francisco, United States
Founded: 1853
WebsiteLinkedIn