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Manager, Data Science - Permanent Remote

Company: Stanley Black & Decker Inc.
Location: Los Angeles
Posted on: November 23, 2021

Job Description:

Manager, Data Science - Permanent RemoteCome Make the World With UsIt takes great people to achieve greatness. People with a sense of purpose and integrity. People with a relentless pursuit of excellence. People who care about making things better For Those Who Make The WorldAaA. Sound like you? Join our top-notch team of 54,000+ professionals in 60 countries who are making their mark on some of the world's most beloved brands, including DEWALT, CRAFTSMAN, STANLEY, BLACK+DECKER, IRWIN, LENOX and more .What You'll DoAs a Manager, Data Science, you'll be part of our Data & Analytics team located remotely.AYou'll get to:Work with non-Data Science business partners to support SBD's eCommerce strategyAct as a technical leader across multiple data science domains (network analysis, forecasting, etc.)Create a collaborative team culture that partners effectively with technical peers in data engineering and ML OpsGuide projects from proof of concepts to full integration in production systemsAppropriately balance multiple workstreams with significant ROI and strategic impact for the firmOwn a quarterly roadmap for projects that support eCommerce; Appropriately balance quick win MVPs (e.g., identifying competitive threats) with high impact long-term initiatives (e.g., algorithmically identifying new product opportunities)Serve as a technical leader both by providing high level modelling strategies and performing, QC and code reviews for deliverables your team producesMentor staff to help them grow both their technical and soft skillsWho You AreYou always strive to do a good job...but wouldn't it be great if you could do your job and do a world of good. You care about quality - at every level. You love to learn and grow and be acknowledged for your valuable contributions. You're not intimidated by innovation. In fact, you embrace it.You'll have:A5+ years of experience in data science, including leading a small teamBroad exposure to data science techniques and data types (structured and structured)Shown an ability to partner effectively with the business and bring strategic insights into complex business scenariosStrong grasp of the math underpinning advanced AI techniques that yields an intuitive understand of what methods will and won't workDemonstrated proficiency communicating with business stakeholdersWhat You'll ReceiveYou'll receive a competitive salary and a great benefits plan:AMedical, dental, life, vision, wellness program, disability, 401(k), Employee Stock Purchase Plan, paid time off and tuition reimbursement.Discounts on Stanley Black & Decker tools and other partner programs.How you'll feel:Being Part of Our Team Means You'll Get ToWe want our company to be a place you'll want to be - and stay.AGrow: Be part of our global company with 20+ brands to grow and develop your skills along multiple career paths.Learn: Have access to a wealth of learning resources, including our Lean Academy, Coursera A and online university.Belong: Experience an awesome place to work, where we have mutual respect and a great appreciation for diversity, equity and inclusion.Give Back: Help us continue to make positive changes locally and globally through volunteerism, giving back and sustainable business practices.What's more, you'll get that pride that comes from empowering makers, doers, protectors and everyday heroes all over the world. We're more than the #1 tools and storage company and #2 security solutions provider, with a leading presence in engineered fastening. We're visionaries. Industry 4.0 innovators. As successful as we've been in the past, we have so much further to go. That's where you come in. Join us!All qualified applicants to Stanley Black & Decker are considered for employment without regard to race, color, religion, age, sex, sexual orientation, gender identity, national origin, disability, veteran's status or any other protected characteristic.Aby Jobble

Keywords: Stanley Black & Decker Inc., Los Angeles , Manager, Data Science - Permanent Remote, Executive , Los Angeles, California

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