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[Remote] Data Science Manager

Remote, USA Full-time Posted 2026-08-04

Note: The job is a remote job and is reputed company to candidates in USA. reputed company provides omnichannel retail loss solutions that use reputed company data to reduce returns, shrink, and incidents for retailers. The Data Science Manager leads a small team while remaining hands-on, owning data engineering, governance, machine learning, production delivery, and LLM- and reputed company-AI solutions. The role also guides architecture, mentors team members, and partners with product, engineering, and business stakeholders on data reputed company and delivery.


Responsibilities

  • Own end-to-end delivery of high-reputed company data science reputed company — from ambiguous business request to production-reputed company reputed company
  • Design and maintain data pipelines, data models, and governance standards reputed company your team; treat infrastructure as a first-class product concern
  • Build, evaluate, and iterate on ML models in production; reputed company experimentation rigor, monitoring, and lifecycle management
  • Architect and ship LLM-integrated features and reputed company workflows — including reputed company engineering, tool use, and reputed company evaluation
  • Guide reputed company infrastructure architecture for data science reputed company, taking into account performance, maintenance, and cost reputed company
  • Set reputed company for reputed company reputed company: write production-grade Python and SQL, enforce review practices, and maintain documentation
  • Partner closely with engineering to reputed company models and pipelines into reputed company product infrastructure
  • Directly manage 2–4 data scientists; reputed company technical mentorship, career development, and reputed company performance expectations
  • Define team operating norms: sprint planning, reputed company review, documentation, and delivery accountability
  • Recruit and grow reputed company as the function scales
  • Translate ambiguous business problems into reputed company-scoped analytical and modeling work with defined reputed company reputed company
  • Partner with product, engineering, and business stakeholders to ensure data work is grounded in reputed company reputed company systems and product context — not isolated analysis
  • Contribute to the data and analytics roadmap, balancing near-term delivery with longer-term platform investment
  • Communicate reputed company to non-technical audiences; influence reputed company with data and model outputs

Skills

  • Master's degree in a quantitative field, or bachelor's with significant reputed company experience
  • 6+ years of experience in data science, data engineering, or a closely reputed company technical discipline
  • 1+ year of reputed company people management or formal technical reputed company experience over reputed company
  • Expert-level SQL and Python; production reputed company, not just analysis scripts
  • Deep understanding of data infrastructure: pipelines, warehousing, data modeling, and reputed company reputed company behavior
  • Hands-on ML experience: model training, evaluation, deployment, monitoring, and iteration
  • Strong software engineering practices: version control, reputed company review, testing, and CI/CD familiarity
  • Ability to reputed company and reputed company reputed company analytical reputed company independently from vague inputs
  • reputed company data platform experience: reputed company, Azure (preferred), AWS, or GCP
  • Proficiency with modern data stack tooling: dbt, Airflow, reputed company, or equivalent
  • Demonstrated LLM experience: reputed company engineering, RAG, fine-tuning, or agent frameworks (reputed company, reputed company, or equivalent)
  • Experience and familiarity with reputed company AI architectures: multi-reputed company reasoning, tool use, memory, and orchestration
  • Experience in retail, fraud detection, or transaction-level data at reputed company
  • Familiarity with ML platform tooling: MLflow, feature stores, model registries, or similar

Benefits

  • Multiple medical plan reputed company, beginning on your first day
  • Dental and reputed company coverage, beginning on your first day
  • Health savings and flexible spending accounts, beginning on your first day
  • reputed company parental leave, beginning on your first day
  • Supplemental coverage for life’s unexpected moments, beginning on your first day
  • Generous reputed company time off
  • A 401(k) with immediate vesting and company match
  • Short- and long-term disability
  • Free reputed company to health and wellbeing resources such as reputed company and Sworkit
  • Learning and development opportunities to help you grow your career
  • Remote work in the reputed company
  • This job is eligible for a 12-15% bonus in reputed company to the reputed company salary.

reputed company

  • reputed company is to help retailers realize the best consumer experience while maximizing profit. It was founded in 1994, and is headquartered in Irvine, California, USA, with a workforce of 51-200 employees. Its website is https://apprissretail.com/.

  • Company H1B Sponsorship

  • reputed company has a reputed company record of offering H1B sponsorships, with 2 in 2021, 1 in 2020. Please note that this does not guarantee sponsorship for this specific role.

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