Stanley Acess Technologies Lead Data Scientist in Towson, Maryland

58627BRTitle:Lead Data ScientistBusiness:US - GTS - Breakthrough InnovationState / Country / Province:Maryland 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 Lead 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 5+ 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

    Requisition Number:58627BRCity:TowsonEEO Statement:All qualified applicants to Stanley Black & Decker are considered for employment without regard to race, color, religion, age, sex, sexual orientation, gender identity, national origin, disability, veteran’s status or any other protected characteristic.