Colgate-Palmolive is a leading global consumer products company, tightly focused on Oral Care, Personal Care, Home Care and Pet Nutrition. Colgate sells its products in over 200 countries and territories around the world under such internationally recognized brand names as Colgate, Palmolive, Speed Stick, Lady Speed Stick, Softsoap, Irish Spring, Protex, Sorriso, Kolynos, elmex, Tom’s of Maine, Sanex, Ajax, Axion, Fabuloso, Soupline and Suavitel, as well as Hill’s Science Diet, Hill’s Prescription Diet and Hill’s Ideal Balance.
For more information about Colgate’s global business, visit the Company’s web site at http://www.colgatepalmolive.com. To learn more about Colgate Bright Smiles, Bright Futures® oral health education program, please visit http://www.colgatebsbf.com. To learn more about Hill's and the Hill’s Food, Shelter & Love program please visit hillspet.com. To learn more about Tom’s of Maine please visit http://www.tomsofmaine.com.
Location: Piscataway, New Jersey, United States
Relocation Assistance Offered Within Country
Promote adoption of analytic thinking and methods in all facets of R&D. Demonstrate how analytic techniques (eg visualization, meta-analysis, AI/ML modeling) can be used to increase knowledge and improve decision making. Lead effort to improve quality and accessibility of R&D data. Work to increase integrability of diverse data sources. Raise organizational awareness and capabilities in statistics/analytics by developing classroom training courses, self-paced learning programs and sponsoring events/activities.
Work with R&D teams to understand key data sources, and assess data quality and accessibility. Develop master data strategy for key sources to enable seemless data access and integration.
Brainstorm with client teams to understand key analytics wants and needs. Develop appropriate use cases to address these needs.
Work with IT to create integrated data repository. With inputs from R&D leaders, prioritize legacy data sources for ETL (extract, transform, load) into R&D data repository.
Partner with R&D clients, SME's, and external partners to execute analyses. Use visualization to do exploratory meta data analysis. Use AI/ML techniques to develop predictive models.
Collaborate with R&D clients to improve data quality. Assess data consistency (eg, formats), completeness (meta data) and data accuracy and precision. Institute appropriate procedures to improve data quality (eg validation, round-robin testing).
Network with other internal analytics practitioners to share learnings and best practices.
Research assistant / technician
Mumbai , India