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Company | Kenvue |
Address | Skillman, NJ, United States |
Employment type | FULL_TIME |
Salary | |
Category | Retail Health and Personal Care Products |
Expires | 2023-08-09 |
Posted at | 10 months ago |
- Continually explore and pilot new data science capabilities in proof-of-concept work to demonstrate potential value and build business case for further investment
- Develop and implement data science solutions independent of technical direction, with a focus on Consumer-centric solutions
- As part of Data Science community of practice, help raise data science knowledge and support data-driven, consumer-centric culture in R&D organization
- Lead collaboration with internal partners and external vendors, build data platform or capabilities for Data Sciences to enable sophisticated data analytics, predictive consumer-technical modeling, consumer insight discovery, and innovation in product claims
- Scale the use of existing social listening and NLP tools within R&D, encouraging teams and mentoring early adopters to demonstrate value through case studies
- Partner with business collaborators to identify business requirements, crafting a portfolio of high-priority data science use cases or products
- Translate analytics insights into powerful narratives that drive business decisions and behaviors
- Build and apply data science and analytic solutions independent of technical direction
- A minimum of a Bachelor is required. A Bachelors/Master’s degreewithin Biology with an emphasis on Molecular Biology, Protein Engineering, Genetics, Bioanalytical Development, Chemical Engineering or Pharmaceutical Sciences preferred
- At least 1 year of relevant experience in data analysis/statistics in research, academic or commercial settings
- Curiosity to understand and apply the constantly evolving data science innovations to real life problem
- Strong analytical thinking and communications, e.g., understanding sophisticated or ambiguous business problems, explaining technical topics to non-technical colleagues, translating business requests into data science strategy, effectively presenting to key decision-makers
- Experience working in multidisciplinary research and/or product development teams
- Programming expertise relevant to/as needed to execute the above (e.g., R, Python, SQL), writing reusable and well-documented code
- Experience with Git source control
- Tools- Jira, Confluence, Microsoft Suite, including Teams
- Experience executing/reporting results from scientific research (reports, protocols, regulatory and scientific communications)
- Solid understanding of data-modeling techniques including statistical evaluation, scoring and correlation-analysis etc. Excellent statistical reasoning and applied statistics skills (R/Python)
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