Description

Data Science Internship No Relocation Assistance Offered # 98865 - Piscataway, New Jersey, United States Colgate-Palmolive invites you to apply for the Summer 2021 Data Science Internship for the Global Information Technology (GIT) organization. Colgate is more than just another brand -- whether it is research, product development, marketing, or optimization, we are always looking for new, efficient ways to serve our customers and continue to create a brand people can rely on. In this 6-month program, you will help identify areas of potential insights within our business teams and work alongside data scientists using state of the art machine learning techniques to deliver meaningful results. Responsibilities will include: Use statistics and machine learning techniques to explore and understand relationships within datasets. Work directly with Data Scientists, Business Analysts and Data Engineers to build solutions and provide analytical support. Guide business users to ask good questions to maximize value from their data Collaborate with business teams to optimize their current workflow using analytics Help drive the adoption of advanced analytical tools within the organization Qualifications: Authorized to work in the U.S. without requiring sponsorship now or in the future Must be currently enrolled in a Bachelor s or Master s degree program (Master s degree preferred) Majoring in Computer Science, Data Science, Statistics or a similar field with a focus on predictive analytics A minimum GPA of 2.8 Ability to work in a high-pressure, fast-paced environment Availability to work a minimum of 15-20 hours per week Experience analyzing data with a scripting language (Python or R), SQL Knowledge of basic machine learning types (regression, classification, ensemble methods) Knowledge of statistical methods and hypothesis testing Familiarity with relational databases, as well as unstructured data Willingness to learn new technologies Ability to communicate technical information to non-technical audiences Communicate and visualize technical results to non-technical audiences (business teams, leaders, and senior management) Preferred: Knowledge and experience with deep learning, reinforcement learning, natural language processing Experience with the following technologies: Popular Python packages (sklearn, scipy, numpy, pandas, keras, matplotlib, plot.ly) Snowflake, Google Cloud Platform Project management tools (Git, Trello)

Role and Responsibilities

• Responsibilities will include: Use statistics and machine learning techniques to explore and understand relationships within datasets. Work directly with Data Scientists, Business Analysts and Data Engineers to build solutions and provide analytical support. Guide business users to ask good questions to maximize value from their data Collaborate with business teams to optimize their current workflow using analytics Help drive the adoption of advanced analytical tools within the organization