DataScientistatStanleyBlack&DeckerinNewBritain,Connecticut

Stanley Black & Decker
Stanley Black & Decker Stanley Black & Decker is the world's largest tools and storage company, the world's second-largest commercial electronic security company, and a world-leading provider of engineered fastening systems, with unique and powerful growth platforms in the oil and gas and infrastructure industries.
4d Career Job

Job Description

Stanley Black and Decker (SBD) is committed to deep and ongoing investment in Data & Analytics capability.  SBD believes that advanced analytics using massive data, while already important to our business, will increasingly become fundamental – even transformational – to the value we deliver to our customers and shareholders.
SBD is seeking a Data Scientist who will be responsible for collecting data and developing insights related to innovative new business initiatives at Stanley Black & Decker focused on the digital enablement of work sites and the Internet of Things. 
 
Essential Job Functions

  • 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
 
Essential Skills & Experience
  • Advanced degree (MS/PhD) in a relevant technical field (e.g., Computer Science, Mathematics, Applied Mathematics, Statistics, Operations Research, Industrial Engineering, Econometrics) with 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, 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
  • Strong written and verbal communications skills; comfortable communicating with senior levels of both business and technology leadership
 
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
 

 
 

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Stanley Black & Decker
Stanley Black & Decker is the world's largest tools and storage company, the world's second-largest commercial electronic security company, and a world-leading provider of engineered fastening systems, with unique and powerful growth platforms in the oil and gas and infrastructure industries.

Since 1843, we’ve set the standard for excellence in everything we do. No company on earth has a stronger or more compelling history of delivering the hardworking, innovative, powerful tools that help professionals around the world build, repair, and protect the world’s most valuable objects.



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