Data Scientist in New Britain, CT

$80K - $100K(Ladders Estimates)

Stanley Black & Decker   •  

New Britain, CT 06051

Industry: Retail & Consumer Goods

  •  

Less than 5 years

Posted 56 days ago

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


Valid Through: 2019-10-17