Tailored Brands, Inc. is looking to leverage data-driven decision-making to improve customer experience and business outcomes through advanced analytics and machine learning capabilities.
Requirements
- Need to understand applied statistics and machine learning using Python and/or R.
- Need to be proficient with understanding and creating data pipelines using SQL.
- Understanding of MLOps practices, data warehousing, data modeling, and data architecture principles
- Need to know how to create visual tools and dashboards using Power Bi,Tableau or equivalent tools.
- Understand and translate business objectives and goals into measurement strategies, Analytics, and reporting requirements to be consumed by our stakeholders.
- Bachelor's degree with 3+ years of relevant work experience or a master's degree in applied Statistics, Data Science, or Business Analytics
- Proficient with Vertex.ai platform
Responsibilities
- Partner closely with the other Data Scientists and Data Engineers on the team to produce machine learning models, statistical models, and complex statistical analyses.
- Develop code in the Vertex.ai platform for machine learning model training, deployment, and integration.
- Design, validate, and improve data-driven decision-making processes and strategies.
- Build key metrics and modeling reports for communication with executives.
- Deliver actionable strategic and tactical recommendations in a consultative approach to support business objectives.
- Present analysis conclusions to team members and senior management in a clear, interpretable, and applicable way.
- Expand our capabilities so we can be smart in leveraging predictive analytics / ML algorithms.
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 3+ years of relevant work experience or a master's degree in applied Statistics, Data Science, or Business Analytics
