Description

Job description 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) Equal Opportunity Employer Colgate is an equal opportunity employer and all qualified applicants will receive consideration for employment without regard to race, color, religion, gender, gender identity, sexual orientation, national origin, ethnicity, age, disability, marital status, veteran status (United States positions), or any other characteristic protected by law. Are you interested in working for Colgate-Palmolive? You can apply online and attach all relevant documents such as a cover letter and resume or CV. Applications received by e-mail are not considered in the selection process. Become part of our team. We look forward to your application. 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 recognised brand names as Colgate, Palmolive, elmex, Tom s of Maine, Sorriso, Speed Stick, Lady Speed Stick, Softsoap, Irish Spring, Protex, Sanex, Elta MD, PCA Skin, Ajax, Axion, Fabuloso, Soupline and Suavitel, as well as Hill s Science Diet and Hill s Prescription Diet. 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 programme, please visit http: //www.colgatebsbf.com. To learn more about Hill's and the Hill s Food, Shelter & Love program please visit http: //www.hillspet.com. To learn more about Tom s of Maine please visit http: //www.tomsofmaine.com. Reasonable accommodation during the application process is available for persons with disabilities. Please contact [email protected] with the subject Accommodation Request should you require accommodation. Estimated Salary: $20 to $28 per hour based on qualifications

Role and Responsibilities

• Responsibilities • 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