Vacancy expired!
AI Scientist - Remote
Come 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 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.The mission of the AI group is to create and use the best-possible AI technologies, systems, algorithms and models for delivering outsized value and radically accelerating SBD's businesses and vision. AI is used for improving performance of people and machines by using models and insights generated from automated processing of big data. It's a broad area encompassing machine learning (ML), data science (DS), machine vision, natural language processing (NLP), data analytics (DA), data mining, mathematical optimization, and related technologies from fields such as computer science, robotics, statistics and operations research. This group provides AI leadership, coordination, standards and shared services to all other corporate and business groups across the company. We work with business partners in order to identify existing business problems and emerging value-creation opportunities to which AI techniques can be applied. The AI group is led by the Chief AI Officer (CAO) of SBD.What You'll DoThis position is for an AI/ML Scientist within the AI Corporate Group. We are looking for an experienced technical contributor to work independently or with an AI/ML Lead Scientist. You will investigate, build, and deploy AI/ML systems and explore conceptually new solutions in a fast-paced environment. You will be at the heart of a growing and exciting focus area for Stanley Black & Decker and work with variety of its business units (including security services, manufacturing, industrial equipment and engineering products, as well as other units) to apply artificial intelligence techniques to our most difficult problems.Duties & Responsibilities- Utilize AI and big data analysis methods to work within cross-functional teams to engage the internal clients and broader customer base, comprehend the internal client's 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
- 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, Google Cloud Platform 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 internal clients or other quantitative analysts and engineers using expertise in hardware or software technologies.
- Excellent critical thinking, analytical, project management, interpersonal, and written/verbal communication skills
- Ability to multi-task effectively in a fast-paced environment
- High responsiveness and flexibility to changing business priorities and tight deadlines
- 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
- 2+ 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
- 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.
- 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.
- 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.
Vacancy expired!