Manager, Data Science

Research, Engineering, Computer, Python, SQL, JavaScript, Java, API
Full Time

Job Description

Manager, Data Scientist - REMOTE

Come Make the World With Us

It 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 Do
As a Manager, Data Scientist, you'll be part of our Data & Analyticsteam located remotely.You'll get to:
  • Work on complex and extremely varied data sets across entire SBD to solve highly complex real-world business problems
  • Determine appropriate analytical approaches and predictive modeling techniques for these business problems and leads their development and execution.
  • Identify potential analytical use cases, evaluate their feasibility and quantify potential future business impact
  • Drive the collection, cleansing, processing and analysis of new and existing data sources.
  • Establish analytical rigor and predictive methods to analyze large amounts of data, using advanced statistical techniques and mathematical analyses.
  • 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
  • Manage highly complex analytical projects from data exploration, model building, performance evaluation and testing.
  • Apply in-depth knowledge of systems and products to consult and advise on additional efforts across organization/enterprise.
  • Motivate team members and probes into technical details, and mentors others to do the same.
  • Provide thought leadership and direction for analytic solutions, tools and studies.
  • Provide guidance to develop enterprise-wide analytics strategy and roadmap.
  • Interact with internal and external peers and management to share highly complex information/solutions related to areas of expertise and/or to gain acceptance of new or enhanced technology/ business solutions.
Who You Are
You always strive to do a good job...but wouldn't it be great if you could do your job and do a world of good? You care about quality - at every level. You love to learn and grow and be acknowledged for your valuable contributions. You're not intimidated by innovation. In fact, you embrace it. You also have:
  • Advanced degree (MS/PhD) in a relevant technical field (Operations Research, Industrial Engineering. Consideration will be also given to the following: Computer Science, Mathematics, Applied Mathematics, Statistics) with on average 3-4 years of experience in related data science, analytics, and model building roles within the supply chain domain
  • Strong background in supply chain domain and "state-of-the-art" methods.
  • 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 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
  • Experience in solvers for numerical optimization like CPLEX, GAMS or similar tools
  • 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
What You'll Receive
You'll receive a competitive salary and a great benefits plan:
  • 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.

How you'll feel:
We want our company to be a place you'll want to be - and stay. Being part of our team means you'll get to:
  • 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.

What's more, you'll get that pride that comes from empowering makers, doers, protectors and everyday heroes all over the world. We're more than the #1 tools and storage company and #2 security solutions provider, with a leading presence in engineered fastening. We're visionaries. Industry 4.0 innovators. As successful as we've been in the past, we have so much further to go. That's where you come in. Join us!


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.
Dice Id : 91121164
Position Id : 86099BR
Originally Posted : 1 month ago
Have a Job? Post it

Similar Positions

Lead Data Scientist
  • Stanley Black and Decker
  • New Britain, CT, USA
Lead Data Scientist
  • Stanley Black and Decker
  • New Britain, CT, USA
Data Science Architect/Manager - Applied AI
  • Deloitte
  • Stamford, CT, USA
Data Engineer - Python AWS
  • Travelers
  • Hartford, CT, USA
Data Science, Consultant - Applied AI
  • Deloitte
  • Stamford, CT, USA
Data Engineer
  • Arthur Lawrence
  • Middlefield, CT, USA
Product Manager for Data Analytics - Supply Chain and Operations
  • Stanley Black and Decker
  • New Britain, CT, USA