Sr Data Scientist

As Senior Data Scientist, you’ll be part of the Tools & Outdoor Finance Analytics team with the responsibility for enabling pricing reporting and insights.  As a Sr Data Scientist, you will:

• 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

 Qualifications:

• Advanced degree (MS/PhD) in a relevant technical field (e.g., Computer Science, Mathematics, Applied Mathematics, Statistics, Operations Research, Industrial Engineering, Econometrics) with 2-3 years’ 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, Spark/Pyspark.  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

Competencies

• Depth in relevant field(s) for data science, including:
  • Statistical Analysis & Modeling
  • Machine Learning Algorithms & Techniques
  • Deep Learning / Neural Networks
  • Optimization Techniques
• Understanding Business Problems
• Data Wrangling & Exploration
• Problem Solving Mindset
• Clear Communication
• Technical Fluency

We Don’t Just Build The World, We Build Innovative Technology Too.

Joining the Stanley Black & Decker team means working in an innovative, tech-driven and highly collaborative team environment supported by over 58,000 professionals in 60 countries across the globe. Here, you’ll get the unique chance to impact some of the world’s most iconic brands including STANLEY TOOLS, DEWALT, CRAFTSMAN, MAC TOOLS and Black + Decker. Your ideas and solutions have the potential to reach millions of customers as we work together to write the next chapter in our history. Come build with us and take your career to new heights.

Who We Are 

We’re the World’s largest tool company. We’re industry visionaries. We’re solving problems and advancing the manufacturing trade through innovative technology and our Industry 4.0 Initiative. We are committed to ensuring our state-of-the-art “smart factory” products and services provide greater quality to our customers & greater environmental and social value to our planet. We are unique in that we have a rich and storied history dating back to 1843, but that hasn't stopped us from evolving into a vibrant, diverse, global growth company.

Global Benefits & Perks
You’ll be rewarded with a competitive salary plus receive entitlements and benefits unique to your country of hire. 

What You’ll Also Get

Career Opportunity: Career paths aren’t linear here. Being part of our global company with 60+ brands gives you the chance to grow and develop your skills along multiple career paths.

Learning & Development: 
Our lifelong learning philosophy means you’ll have access to a wealth of state-of-the-art learning resources, including our Lean Academy and online university (where you can get certificates and specializations from renowned colleges and universities).

Diverse & Inclusive Culture:
We pride ourselves on being an awesome place to work. We respect and embrace differences because that’s how the best work gets done. You’ll find we like to have fun here, too.

Purpose-Driven Company:
You’ll help us continue to make positive changes in the local communities where we work and live as well as in the broader world through volunteerism, giving back and sustainable business practices.