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The Associate Applied Scientist will play an integral role supporting a core capability for the company by leveraging large volumes of data, scientific methods, and analytics to drive performance improvement. The role will be highly visible with impact globally across all Newell business units. This role is central to the goal of rapidly increasing our capability to quickly access and analyze data for insights that enable the teams to drive improvements in business critical area’s like forecast accuracy, revenue management, consumer journey, service, etc. that will drive the macro company objectives enabling growth, cash conversion and productivity.
Specific Responsibilities
Apply advanced analytics knowledge to existing business problems to grow revenue or reduce cost
Apply analytical rigor and statistical methods to analyze large amounts of data across all channels
Apply new technologies and methods in data science, data engineering, and data visualization to improve the technical capabilities of the team
Maintain standards for writing clean, organized code to streamline workflow
Create and maintain documentation for learning and knowledge transfer
Formulate hypotheses and use existing data to test
The Candidate
The successful candidate will have a passion for building infrastructure and driving informed business decisions through sophisticated use of data and analytics. They will conduct statistical analysis, build models, and surface insights to scale and optimize our business and customer experience. The ideal candidate will have a background in applied statistics, economics or a related quantitative field, will have strong business acumen, experience working with large data sets, and experience interacting with business partners. We seek a self-starter, eager to learn, focused on impact and results with a bias for action, and with demonstrated success in using data science to drive understanding, progression, and decision making.
Key Qualifications
Postgraduate experience in analytics field, preferably with eCommerce experience.
Academic training in a quantitative field such as Computer Science, Data Science, Mathematics, Statistics, Bioscience, or Engineering. Master’s degree or Bachelor’s degree with equivalent professional experience required.
Strong technical background in statistics, measurement, experimentation, and modeling.
Experience working with modern ML systems such as NLP, reinforcement learning, and neural networks.
Experience and functional familiarity with software development best practices, code testing, and using CI/CD tools in the workflow.
Experience using custom systems using frameworks such as PyTorch.
Experience using the Python data science/ML stack in a collaborative development environment using version control tools (git).
Good command of SQL.
Experience with cloud computing platforms such as AWS, Azure, and GCP. Experience with containerized solutions such as Docker a plus.
Conceptual understanding of the mathematical models underlying data science methods, including the trade-offs between different solutions.
Experience with statistical forecasting in a business environment.
Good written and oral communication skills and the ability to use these to convey results comprehensibly to a non-technical audience.
General interpersonal savvy.
Ability to work with and connect with all levels of employees. Experience working in a matrix environment a plus.
Good planning and organizational skills.
Initiative and follow-up, including a strong bias for action.
Strong character: ability to champion the right decision in difficult situations.
Demonstrated ability to handle multiple tasks and assignments
_Newell Brands (NASDAQ: NWL) is a leading global consumer goods company with a strong portfolio of well-known brands, including Rubbermaid, Sharpie, Graco, Coleman, Rubbermaid Commercial Products, Yankee Candle, Paper Mate, FoodSaver, Dymo, EXPO, Elmer’s, Oster, NUK, Spontex and Campingaz. We are focused on delighting consumers by lighting up everyday moments. Newell Brands and its subsidiaries are Equal Opportunity Employers and comply with applicable employment laws. EOE/M/F/Vet/Disabled are encouraged to apply.