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Men's Wearhouse Logo

Data Scientist II - Machine Learning

Men's Wearhouse

$106,800 - $135,000
Dec 5, 2025
Remote, US
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Tailored Brands is looking to leverage data science and machine learning to drive business outcomes and influence strategic decisions across the organization.

Requirements

  • Proficient in Python, R, and SQL, with hands-on experience in machine learning, MLOps, and data pipeline architecture.
  • Experience with data modeling, data warehousing, and cloud-based platforms like GCP or AWS.
  • Expertise in building dashboards and visualizations (e.g., Tableau) to support decision-making across the enterprise.
  • Hands-on experience in machine learning, MLOps, and data pipeline architecture.
  • Experience with Vertex.ai
  • Experience with data pipeline architecture

Responsibilities

  • Lead the design, development, and deployment of scalable machine learning models, generative Ai and advanced statistical solutions using platforms like Vertex.ai.
  • Partner cross-functionally with business stakeholders and engineering teams to identify strategic opportunities, formulate hypotheses, and develop models that guide data-driven decisions.
  • Apply diverse data science methodologies to solve ambiguous and complex problems using advanced analytics.
  • Drive innovation by identifying new data sources, modeling techniques, and tools that can be adopted for greater impact.
  • Communicate complex findings and technical results to senior leadership in a clear, actionable manner.
  • Mentor junior team members and share best practices across the analytics organization.
  • Support the development of Customer 360 initiatives and other enterprise-level data products.

Other

  • Ability to sit and work at a computer keyboard for extended periods of time
  • Ability to stoop, kneel, bend at the waist, and reach daily
  • Able to lift and move up to 25 pounds occasionally
  • Must utilize visual acuity, speech and hearing, hand and eye coordination and manual dexterity necessary to operate a computer and office equipment
  • Bachelor's degree with 5+ years of relevant experience, or master’s degree with 3+ years in applied statistics, data science, or business analytics.