Job Title: Data Scientist
No Relocation Assistance Offered
# 123956 - Piscataway, New Jersey, United States
Do you want to come to work with a smile and leave with one as well? In between those smiles, your day consists of working in a global organization, continually learning and collaborating, having stimulating discussions, and making impactful contributions!
If this is how you see your career, Colgate is the place to be!
Our dependable household brands, dedicated employees, and sustainability commitments make us a company passionate about building a future to smile about for our employees, consumers, and surrounding communities. The pride in our brand fuels a workplace that encourages creative thinking, champions experimentation, and promotes authenticity which has contributed to our enduring success.
If you want to work for a company that lives by their values, then give your career a reason to smile...every single day.
We invite applications for the Data Scientist position based at our Piscataway, NJ location. This role will be part of the Digital Data, Measurement and Analytics team, modernizing systems and supporting Data and Analytics initiatives for the Global Digital organization. You will work in a highly upbeat and collaborative team environment among Data integrators, Data Architects, Data Engineers and Data Visualization Engineers. You will be responsible for providing new insights through the use of advanced statistical analysis, data mining and data visualization techniques, working with data generated by marketing technology, activating customer data and powering the customer experience in marketing channels.
What you will do
• Analyzes data and applies or develops models, algorithms, and/or simulations to solve complex business problems
• Performs statistical analysis to establish causal relationships between drivers and outcomes
• Develops and manages models, workflows, and/or code in support of their specific project work
• Accountable for models and their code quality and documentation
• Responsible for implementing data science best practice in their work
• Leverages cloud computing resources and technology
• Performs other duties as assigned
• Complies with all policies and standards
Required Qualifications
• Master's Degree in Data Science or Statistics
• At least 3 years professional work experience in machine learning and modeling and/or data science
• Has a strong understanding of statistics and statistical modeling
• Has a working understanding of modern machine learning
• Has strong programming skills in Python
Preferred Qualifications
• Some experience using Big data technology stack
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 recognized 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 program, 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 Application_Accommodation@colpal.com with the subject "Accommodation Request" should you require accommodation.
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