AI Scientist - GTS

AI Scientist - GTS

This job has closed but is shown for context on data science work at Stanley Black & Decker.

Job Description

AI Scientist - GTS -  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 an AI Scientist  you’ll be part of our Global Tools and Storage team located remotely. 
You’ll get to:

  • Utilize AI and big data analysis methods to work within the GTS business unit, engaging stake holders and our broader customer base, comprehend the stakeholders problems, develop strategic analytical products, and support requirements analysis
  • Develop AI solutions that delivers a measurable outcome, testing the solution, and implementing the transformation
  • Apply domain expertise and business acumen to develop multiple insights and theories for complex problems that require the regular use of ingenuity and creativity and deep understanding of existing methods and solutions
  • Extract qualitative and quantitative relationships, including patterns and trends from a wide variety of data
  • Collaborate with AI Engineers to deploy and maintain solutions in production
  • Continuously develop AI know-how for the company.

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:

  • Deep understanding of machine learning and AI, specifically in neural networks, convolutional neural networks, random forests, tree boosting systems, classification and regression, clustering, feature representations and feature engineering
  • An understanding of multivariate statistics and statistical inference
  • Advanced proficiency of Python
  • An understanding of cloud services platforms like AWS, GCP or Azure
  • Experience in modern machine learning applications such as natural language processing, computer vision, audio processing or predictive analytics.
  • Experience in deep learning frameworks like Tensorflow, Keras or PyTorch
  • Ability to communicate effectively with stakeholders or other quantitative analysts and engineers using expertise in hardware or software technologies.
  • High level of enthusiasm and desire to learn. Continuous improvement mindset
  • Master’s or PhD degree in computer science, electrical engineering, applied mathematics, data science statistics or related field
  • 3+ years of software developer experience
  • 3+ years of experience with data analysis in high performance computing, machine learning, big data analysis or related areas
  • A track record of machine learning algorithms that are deployed and in production
  • Knowledge of relational database concepts, data mining, data warehouses, decision support tools including SQL and NoSQL.
  • Further MOOC qualifications in AI and data science

Preferred but not required

  • Confident in the development of quantitative models for Industrial systems (reliability data, sensor data) supply chain big data analysis, revenue forecasting, or similar problems using machine learning.
  • Experience with providing project management support for large data analytics and data quality management projects, including providing planning, scheduling, and deployment support.
  • Mentorship experience.

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!


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.

This job has closed but is shown for context on data science work at Stanley Black & Decker.
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