Apply now »

Data Science Manager

Want to make information technology smarter? As a Data Science Manager, you’ll have the freedom to think strategically, lead commercially and harness emerging trends to grow our business.


Data Science Manager

Parsippany, NJ

Competitive Salary & excellent benefits package


We’re on a journey, harnessing digital, big data and advanced analytics to give us a competitive edge. As a Data Science Manager, you'll be responsible for partnering with our team of engineers and analytic experts in the development of best in class performance measurement and predictive modeling solutions that drive day to day success of the business as well as unlock incremental insights that create a competitive advantage. You’ll implement, maintain and support the most advanced systems and ensure our technology and business strategies are aligned. You’ll spot emerging trends and create opportunities to grow our business. You'll: 

  • Develop and deliver data science capabilities / ‘big ideas’ to stakeholders
  • Leverage data mining, statistics, and machine learning to develop best-in-class analysis techniques & support data visualizations
  • Design scalable statistical learning models for data analysis
  • Research & evaluate industry best practices/data science innovations
  • Perform ad-hoc analysis and present results with clarity and conviction


You’ll succeed because…

...you have a background in a quantitative field, backed by experience in working with massive data sets. You are resourceful, focused on results, a self-starter, and have demonstrated success in using analytics to drive the understanding, growth, and success of the Amazon business. You are backed by extensive experience in working on large multi-source data sets to draw correlations, scaling algorithms to new data sets to drive business solutions and provide insights to cross-functional teams ensuring business strategies are aligned across all initiatives and leading the implementation of data modeling solutions, among others. You have: 

  • Bachelor’s Degree is required (Statistics, Applied Math, Computer Science, Applied Economics, Econometrics, Psychology, or another relevant field)
  • Master’s Degree preferred (Statistics, Applied Math, Computer Science, Applied Economics, Econometrics, Psychology, or another relevant field)
  • Experience in data science, statistics, or another analytical role is required
  • R, Python, or other relevant open source programming language is required
  • Expert knowledge of statistics and machine learning tools and methods, including time series analysis, regression, clustering/segmentation, optimization, survival analysis, supervised and unsupervised learning are required
  • Experience with common data science toolkits scikit learn, TensorFlow etc. Excellence in at least one of these is highly desirable
  • Proficiency in using enterprise-grade autoML tools like H2O, DataRobot etc.
  • Experience with data visualization tools, such as PowerBI, Tableau, DataStudio, Looker etc
  • Ability to solve analytical problems using complex quantitative approaches is a must


You’ll love it because…

…you’ll get to make an impact like never before. You’ll be responsible for your own projects - we can’t wait to listen to your ideas. The products you help us get out there will make people’s lives better. Our iconic brands will provide an incredible platform for you. And our dynamic, ownership-driven culture will help bring the very best out of you, every day.


In Return Reckitt offer very competitive salaries with excellent benefits and the chance to progress your career within a truly global organisation.
Reckitt is an equal opportunity employer and all qualified applicants will receive consideration for employment without regard to race, colour, religion, sex, national origin, disability status, protected veteran status, or any other basis protected by appropriate law. All hiring decisions are made based on merit, competence and business need.

Nearest Major Market: New York City
Nearest Secondary Market: Newark

Apply now »