AI Data Scientist

AI Data Scientist

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About Stanley Black & Decker

Joining the Stanley Black & Decker (SBD) family means joining one of the world's largest, fastest growing, and most dynamic companies.SBD, a Fortune 200 companyis a world-leading provider of tools and storage, commercial electronic security and engineered fastening systems, with unique growth platforms and a track record of sustained profitable growth. We have been globally recognized as one of the most innovative, sustainable, and rewarding companies in the world. We make tools for those who make the world.

About Stanley Security

Stanley Security delivers powerful and insightful security solutions that enable protectors to drive the world forward. We are committed to making the world safer, by delivering leading customer experiences and smart monitored solutions that really perform. We understand that not every customer's requirement is the same and we work hard to provide tailor-made high quality security solutions to match customer requirements; from fully integrated security solutions and services that are designed and installed to the specific needs of customers across multiple sectors. These include access control, intruder alarms, CCTV, alarm monitoring, fire detection and Healthcare Communications, and much more.

About the AI (Artificial Intelligence) Group in SSS

The mission of the AI group in SSS is to create and use the best-possible AI technologies, systems, algorithms and models for delivering outsized value and radically accelerating SSS' businesses and vision. We and our customers use AI 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. The AI Team in SSS collaborates with the Corporate AI Team and other SSS and Corporate teams to identify, design and deliver new value-creation opportunities to which AI techniques can be applied.

Summary of the Role

This position is for an AI/ML Scientist within the AI Group in partnership with Stanley Black & Decker's Security business unit (SSS). We are looking for an experienced technical contributor to work 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 SSS to apply artificial intelligence techniques to our most difficult problems.

Responsibilities

• Utilize AI and big data analysis methods to work within cross-functional teams to engage the Security business unit (BU) and its customer base, comprehend the BU'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 Security business unit and the company

• Deep understanding of machine learning and AI, specifically in neural networks, convolutional neural networks, random forests, classifiers, tree boosting systems, clustering, feature representations and feature engineering
• An understanding of multivariate statistics and statistical inference
• Advanced proficiency of Python or R
• 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 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
• 2-3 years of Commercial Experience
• 2-3 years of experience with data analysis in high performance computing, machine learning, big data analysis or related areas
• 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.
• Knowledge of relational database concepts, data mining, data warehouses, decision support tools including SQL and NoSQL.
• An understanding of delivering, deploying and maintaining AI/ML systems into
• production.