Data Scientist - Machine Learning

Tailored Brands•Dublin, CA

39d•Remote

About The Position

Tailored Brands, Inc. is a leading omni-channel specialty retailer of menswear, including suits and a broad selection of business casual offerings as well as the largest provider of tuxedo rental products in the U.S. and Canada. We operate retail stores in all 50 states and Canada. Our U.S. retail stores are operated under the brand names of Men's Wearhouse, Jos. A. Bank, Men's Wearhouse and Tux, and K&G Fashion. Our Canadian stores are operated under the brand name of Moores in ten provinces. Our purpose is we help people love the way they look and feel for their most important moments. We accomplish this by putting customers at the center of every decision, rallying together to achieve common goals, and striving for excellence and continuous improvement. We help fulfill this purpose by valuing differences and knowing they make us better and showing up with courage to always do the right thing. If you want to make a difference, be part of a great team and grow, you might be a perfect fit. About the Job We currently have an exciting opportunity for Data Scientist - Machine Learning, to join our Enterprise Analytics team. In this role, you will work with stakeholders across the organization, including Data Engineering teams. You will leverage your Technical, Analytical, and Business acumen to help data-driven decision-making. Projects will range from long-term data products that utilize advanced analytics and machine learning capabilities to short-term analytics that help stakeholders with tactical day-to-day decision-making. You will have the opportunity to work on high-priority data science and analytics projects that move the needle within the organization and witness the impact of your work firsthand.

Requirements

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.

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.

Benefits

This role is eligible for 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, and employee merchandise discounts.

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