Data Scientist - Machine Learning

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. What You’ll Do | Key Accountabilities • 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. What You’ll Bring | Skills & Experience • 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. Please note that you do not need to qualify for all requirements to be considered. We encourage you to apply if you can meet most of the requirements and are comfortable opening a dialog to be considered. Work Environment, Physical & Mental Demands • 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. • Hours regularly 40 hours per week, as work dictates from a remote office location with the ability for occasional travel for team meetings and events. 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. Work-Life Balance We understand the demands of work, school, family, and personal responsibilities. Through our work-life resources and programs we offer services for every stage of life to help you manage the day-to-day needs. We offer programs such as: • 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. The starting salary for this position is $80,700 – $110,000. Actual compensation within this range will be determined based on factors such as skills, experience, and qualifications. Over time, and subject to performance, tenure, and evolving responsibilities, total compensation for this role may grow to as much as $168,200. Base pay information is based on market location and may be subject to prevailing wage laws, if applicable. Note: To perform this job successfully, an individual must be able to perform each essential duty satisfactorily. The requirements listed are representative of the knowledge, skill, and/or ability required and are not intended to be an exhaustive list of all duties, responsibilities or qualifications associated with this job.