Data Scientist - Machine Learning

Summary

Tailored Brands, Inc. is a leading omni-channel specialty retailer of menswear, and they are seeking a Data Scientist – Machine Learning to join their Enterprise Analytics team. This role involves working with stakeholders to leverage technical, analytical, and business skills for data-driven decision-making and executing high-priority data science projects.

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. Contribute to building a comprehensive customer 360 view
• Evaluate opportunities to enhance data and capabilities by identifying 3rd party resources, systems, and tools

Skills

• Bachelor's degree with 3+ years of relevant work experience or a master's degree in applied Statistics, Data Science, or Business Analytics
• 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

Qualifications

Must Haves

• Bachelor's degree with 3+ years of relevant work experience or a master's degree in applied Statistics, Data Science, or Business Analytics
• 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

Benefits

• Health, dental and vision insurance
• Prescription drug
• Retirement savings (401k, employer-funded retirement plans, deferred compensation, and other defined-benefit or defined-contribution)
• Life insurance
• Accident and disability
• Paid time off for sick leave
• Vacation (80 hours per year)
• Bereavement
• Jury duty
• Holidays (9 days per year)
• Wellbeing program
• Commuter
• Adoption assistance
• Legal services
• Employee merchandise discounts
• Meeting-Free Fridays (encouraged) | so you can catch up on work and self-development.
• Summer Fridays | from Memorial Day to Labor Day so you can enjoy a head-start to the weekend.
• Holiday Early Departure | close out early the business day before a company observed holiday.