Job Description

Data Scientist  - 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 , you’ll be part of our Data & Analytics team located remotely. You’ll get to:

• 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
• Develop analytic capabilities (e.g. models and processes) that drive better outcomes for both customers and the company
• 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
• Report findings by creating useful and appropriate data outputs and visualizations tailored for the intended audiences
• Learn & stay current on analytics developments in one or more business domains: Internet of Things, Manufacturing, Supply Chain, Forecasting, Marketing and Sales, Pricing, etc.
• Learn & stay current on developments in one or more analytics domains: Optimization, Machine Learning, Deep Learning / AI, Simulation, etc.
• Generate innovative ideas, establish new research directions, shape and execute the information strategy in support of technical projects and new product developments
• Work with and support other team members, management, and partners

Who You Are
You 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 also have:

• Advanced degree (MS/PhD) in a relevant technical field (e.g., Computer Science, Mathematics, Applied Mathematics, Statistics, Operations Research, Industrial Engineering, Econometrics) with 2+ years of experience in related data science, analytics, and model building roles
• 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.  R/Spark on Hadoop or Cassandra preferred.
• Strong background in applying statistical machine learning techniques to predictive modeling and experience with Machine Learning libraries (via R, H2O, Python, Spark, etc.)
• Proficiency in programming in Python, R, SQL, JavaScript, Java/Scala/Ruby and shell scripting
• Proficiency in consuming REST based API (with JSON payload) is a plus.
• Fluency in big data platforms including Hadoop, MapReduce, Hive, Spark, PIG
• Familiarity with Cloud based HaaS/PaaS solutions such as AWS EMR, MS Azure.
• A strong understanding of data profiling and data cleansing techniques
• Natural curiosity and a strong passion for empirical research and problem solving

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

• Medical, 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:
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.