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Saks Off 5th (SO5) is a world-class destination for top designer brands at extraordinary value. SO5 combines the two great joys of shopping: the delight of discovering the best in luxury and the thrill of finding a deal. A modern shopping experience of carefully curated designer trends, exceptional service and savings on the biggest names in fashion, we lead the market as the premier luxury-value destination. The company’s unique approach combines a focus on the digital customer experience with a strong connection to a network of extraordinary stores that extends that seamless experience into the real world. We are currently in the midst of a dramatic expansion, driven by significant enhancements to our platforms and offerings, with the goal of becoming the preeminent destination for luxury internationally.
The successful candidate will focus on driving open source programming culture within the marketing analytics team at SAKS OFF 5TH India. He/ She will be well versed with Python programming, SQL and Machine learning techniques implementation through cloud platform like AWS. He/ She will help the team to perform on adhoc-request, report automation and ML products development. Forward thinking is the key to this role as new technologies and opportunities present themselves.
Gather and translate business requirements on key projects
Effectively manage project assignments and documentation, including establishing and communicating overall priority and defining project scope, deliverables and timing. Communicate assignment status against goals ongoing.
Test and validate all the models and work closely with counterparts in NY to ensure the models make business sense
Set up automated model scoring process to ensure frequent (monthly) refresh of predictive models
Automate and streamline processes to ensure no downstream impact.
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Follow industry best practices, stay up to date with and extend the state of the art in machine learning research and practice, drive innovation by contributing towards publications and patents.
A Master’s degree in Mathematics or Statistics or Data Science or Software Engineering
Demonstrate strong technical skills, including proficiency in some of the following areas: Python, Machine Learning, SQL / PL-SQL, Excel / VBA macro.
Working experience with Tableau, MicroStrategy or other business intelligence tools an asset.
Experience in retail, financial, or other consumer based industries is an asset.
Strong mathematical, written, and verbal communication skills.
Understanding of cloud computing platforms like AWS and large-scale databases
Drive for Results - Pushes self and others to exceed goals and achieve breakthrough results. Recognizes the key actions necessary to achieve results, establishes and communicates the priorities to supervisor, demonstrates persistence in removing barriers
Strategic Thinking – Think strategically by clearly anticipating future trends and consequences. Create clear and compelling business plan and communicate effectively to cross-functional partners.
Business Acumen - Leverages business judgment to shape strategy, based on understanding of operational, financial, and organizational requirements and capabilities.
Be part of a world-class team; work with an adventurous spirit; think and act like an owner-operator!
Exposure to rewarding career advancement opportunities, from IT to Human Resources, Merchandising to Finance.
A culture that promotes a healthy, fulfilling work/life balance
Be part of an empowered, innovative team; work with an adventurous spirit and a customer-centric mindset; play a critical role in making decisions that will position us to win
Exposure to rewarding career advancement opportunities across different functions within our corporate offices, retail stores, photo studios, and distribution centers
A culture that promotes a flexible work environment
Benefits package for all eligible full-time employees (including medical, dental and vision)
An amazing employee discount and other exciting perks
Sells discounted luxury fashion apparel and accessories online.
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