Tailored Brands is looking to leverage data science and machine learning to drive business outcomes, shape strategic decisions, and enhance customer understanding through advanced analytics and data products.
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.
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
- Bachelor's degree with 5+ years of relevant experience, or master’s degree with 3+ years in applied statistics, data science, or business analytics.
- Strong communication and storytelling skills to engage with senior stakeholders and executive leadership.
- Demonstrated ability to work independently with minimal oversight and handle projects that impact multiple areas of the business.
- 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
