Vacancy expired!
Senior Data Scientist - People Analytics - REMOTE
Come Make the World With UsIt takes great people to achieve greatness. People with a sense of purpose and integrity. People with a relentless pursuit of excellence. People who care about making things better For Those Who Make The World™. Sound like you? Join our top-notch team of 54,000+ professionals in 60 countries who are making their mark on some of the world's most beloved brands, including DEWALT, CRAFTSMAN, STANLEY, BLACK+DECKER, IRWIN, LENOX and more.What You'll DoAs a Senior Data Scientist - People Analytics, you'll be part of our Data & Analytics working remotely.You'll get to:- Leverage big data and data science to discover patterns and solve strategic & tactical people analytics problems using structured and unstructured data sets across multiple environments
- Collaborate closely with HR business partners and act as a technical thought leader in the application of advanced analytics and AI
- Develop analytic capabilities (e.g. models and processes) that improve employee experience and engagement, increase employee retention as well as provide data driven and compassionate guidance to leadership
- Delivery of insights to HR partners in-line with the SBD's culture of an awareness of the needs of a diverse workforce with different backgrounds in different geographies.
- Drive the collection, cleansing, processing and analysis of new and existing data sources with special care to sensitive and private data
- Build, test, and deploy predictive models and/or machine learning algorithms for people analytics
- Report findings that drive key HR decisions by creating useful and appropriate data outputs and visualizations tailored for the intended audiences
- Learn & stay current on analytics developments in the people analytics space, i.e. retention/attrition modeling, Graph/Network analysis, causal modeling, bias in AI as applied to Diversity, Equity and Inclusion (DEI) use cases
- 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
- Advanced degree (MS/PhD) in a relevant technical field (e.g., Computer Science, Physics, Mathematics, Applied Mathematics, Statistics, Operations Research, Industrial Engineering, Econometrics, Quantitative Psychology) with 5+ years' experience in related data science, analytics, and model building roles.
- Experience working with HR data in people analytics field is preferred but not required
- Experience working with complex disparate internal and external data sets, sparse or incomplete data, 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, graph/netowrk analysis, causal modeling, experimental design, data mining and optimization techniques.
- Strong knowledge of analysis tools such as Python, R or Spark.
- Strong background in applying statistical machine learning techniques to predictive modeling and experience with Machine Learning libraries (via R, H2O, Python, Spark, etc.)
- Proficiency inprogramming 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 like 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
- Acumen to describe/explain highly technical solutions to non-technical audiences.
- Experience with Python Django & Flask a plus
- Experience working with cognitive assessment or psychometric analytical methods a plus
- Medical, dental, life, vision, wellness program, disability, 401(k), Employee Stock Purchase Plan, paid time off and tuition reimbursement.
- Discounts on Stanley Black & Decker tools and other partner programs.
- Grow: Be part of our global company with 20+ brands to grow and develop your skills along multiple career paths.
- Learn: Have access to a wealth of learning resources, including our Lean Academy, Coursera® and online university.
- Belong: Experience an awesome place to work, where we have mutual respect and a great appreciation for diversity, equity and inclusion.
- Give Back: Help us continue to make positive changes locally and globally through volunteerism, giving back and sustainable business practices.
Vacancy expired!