Data Scientist - Operations

Data Scientist - Operations

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Data Scientist - Operations - Remote

Come Make the World With Us

It 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 World™. 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 Do
As a Data Scientist- Operations, you'll be part of our Global Operations team located remotely.You'll get to:

• Work on varied data sets to solve complex real-world supply chain problems
• Leverage big data and data science to discover patterns and solve strategic & tactical business problems using massive structured and unstructured data sets across multiple environments
• Determines appropriate analytical approaches and predictive modeling techniques for these business problems and leads their development and execution.
• Drive the collection, cleansing, processing and analysis of new and existing data sources.
• Build, test, and deploy predictive models and/or machine learning algorithms on large static and/or streaming data sets
• Work closely with the business and supply chain partners to understand issues to solve and generate creative solutions.
• Report findings by creating useful and appropriate data outputs and visualizations tailored for the intended audiences
• Learn & stay current on developments in one or more analytics domains: Optimization, Machine Learning, Deep Learning / AI, Simulation, Internet of Things, Manufacturing, Supply Chain, Marketing, Pricing etc.
• Generate innovative ideas, establish new research directions, shape and execute the information strategy in support of technical projects and new product developments

Who You Are
You always strive to do a good jobbut 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 also have:

What You'll Receive
You'll receive a competitive salary and a great benefits plan:

• Advanced degree (MS/PhD) in a relevant technical field (Preferable : Operations Research, Industrial Engineering. Consideration will be also given to the following: Computer Science, Mathematics, Applied Mathematics, Statistics) with 5+ years of experience in related data science, analytics, and model building roles within the supply chain domain
• Strong background in supply chain domain
• Experience working with large complex data sets, real time/near real time analytics, and distributed big data platforms (Hadoop & MapReduce and/or Cassandra/Spark)
• Strong practical knowledge of analytical techniques and methodologies such as machine learning/supervised and unsupervised techniques, segmentation, mix and time series modeling, response modeling, lift modeling, experimental design, neural networks, data mining and optimization techniques
• Strong knowledge of analysis tools such as Python, R, MATLAB, Spark or SAS. Python/R/Scala Spark on Hadoop preferred.
• Experience in solvers for numerical optimization like Python, R, CPLEX, GAMS or similar tools
• Strong background in applying statistical machine learning techniques to predictive modeling and experience with Machine Learning libraries (via R, H2O, Python, Spark, etc.)
• Proficiency inprogramming in Python, R, SQL,JavaScript, Java/Scala/Ruby and shell scripting
• Proficiency in consuming REST based API (with JSON payload) is a plus.
• Familiarity with Cloud based HaaS/PaaS solutions such as AWS EMR, MS Azure.
• Familiarity with SAP ERP and SAP IBP

How you'll feel:
We want our company to be a place you'll want to be - and stay. Being part of our team means you'll get to:

• Grow: 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® 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!

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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.