Sr Dir Data Science & ML

at  Southern Glazers Wine and Spirits

Florida, Florida, USA -

Start DateExpiry DateSalaryPosted OnExperienceSkillsTelecommuteSponsor Visa
Immediate16 Sep, 2024Not Specified19 Jun, 20247 year(s) or aboveReinforcement Learning,Technology,Physics,Statistics,Python,Communication Skills,Computer Vision,Computer Science,Flexible Spending Accounts,Neural Networks,Nlp,Mathematics,Data Science,Complex Analysis,Algorithms,Machine Learning,Deep LearningNoNo
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Description:

WHAT YOU NEED TO KNOW

Open the door to a groundbreaking tech career with an industry leader. Southern Glazer’s Wine & Spirits is North America’s preeminent wine and spirits distributor, as well as a family-owned, privately held company with a 50+ year legacy of success. To create a new era in alcohol beverage sales and service, we’re heavily invested in the most transformative new technologies – and the most brilliant tech professionals. Southern Glazer’s was named by Newsweek as a Most Loved Workplace and is included on the Forbes lists for Largest Private Companies and Best Employers for Diversity.
As a full-time employee, you can choose from a full menu of our Top Shelf Benefits, including comprehensive medical and prescription drug coverage, dental and vision plans, tax-saving Flexible Spending Accounts, disability coverage, life insurance plans, and a 401(k) plan. We also offer tuition reimbursement, a wellness program, parental leave, vacation accrual, paid sick leave, and more.
We offer continuous learning and career growth in a fast-paced environment where you are respected, your voice is heard, and technology is part of our strategy for success. If you’re looking to fill your glass with opportunity, come join our FAMILY.

MINIMUM QUALIFICATIONS

  • Graduate degree in Computer Science, Mathematics, Physics, Engineering, Statistics, Operations Research, or other equivalent quantitative fields
  • 7+ years of work experience in Machine Learning, AI and Data Science with a proven track record to drive innovation and business impacts
  • Strong machine learning, deep learning, and AI modeling expertise, such as neural networks, reinforcement learning, causal inference modeling, NLP, and computer vision
  • Strong knowledge and experience with big data platforms (AWS, Azure, Spark) and ML/AI languages and tools (Python, TensorFlow, PyTorch)
  • Experience in deploying machine learning algorithms and advanced modeling solutions
  • Experience in developing large scale ML and AI infrastructure and system
  • Self-starter and self-motivated with the proven ability to deliver results in a high-energy environment
  • Strong communication skills and the ability to explain complex analysis and algorithms to untechnical audience
  • Works effectively cross functional teams to build trusted partnership

Responsibilities:

PRIMARY RESPONSIBILITIES

  • Develop innovative data science solutions that utilize the state-of-art machine learning algorithms and AI models to support digital product, sales and marketing initiatives.
  • Build and lead a world-class team of ML and AI scientists and engineers. Be a hands-on leader to mentor the team in latest machine learning and AI approaches, and to introduce new technologies and processes.
  • Identify data science opportunities that deliver business value. Develop ML/AI roadmap and educate both internal and external stakeholders at all levels to drive implementation and measurement.
  • Provide thought leadership to enable scalable ML/AI applications. Manage projects priorities and ensure timely delivery. Develop and evangelize best practices for scoping, building, validating, deploying, and monitoring ML/AI products.
  • Prepare and present ML modeling results and analytical insights that help drive the business to senior leadership.


REQUIREMENT SUMMARY

Min:7.0Max:12.0 year(s)

Information Technology/IT

IT Software - Other

Software Engineering

Graduate

Computer science mathematics physics engineering statistics operations research or other equivalent quantitative fields

Proficient

1

Florida, USA