Data Scientist

No Relocation Assistance Offered
Job Number #167016 - Overland Park, Kansas, United States

Who We Are

Colgate-Palmolive Company is a global consumer products company operating in over 200 countries specializing in Oral Care, Personal Care, Home Care, Skin Care, and Pet Nutrition. Our products are trusted in more households than any other brand in the world, making us a household name!

Join Colgate-Palmolive, a caring, innovative growth company reimagining a healthier future for people, their pets, and our planet. Guided by our core values—Caring, Inclusive, and Courageous—we foster a culture that inspires our people to achieve common goals. Together, let's build a brighter, healthier future for all.
 

At Hill’s we have a purpose. Every day around the world, we transform the lives of millions of pet families through pioneering innovation, amazing nutrition, and the best and brightest people. If you’re interested in work that matters, fueled by passion for pets, we invite you to apply.

Founded more than 75 years ago with an unwavering commitment to pet nutrition, Hills’ mission is to help enrich and lengthen the special relationships between people and their pets. Our decades of science and research guide us in creating nutrition that’s a step ahead so pets and pet parents can enjoy every day together. As the US #1 Veterinarian Recommended pet food brand, knowledge is our first ingredient with 220+ veterinarians, PhD nutritionists and food scientists working to develop breakthrough innovations in pet health.

We are seeking a Data Scientist located at our Headquarters in Overland Park, KS who will support our cross-functional teams with insights gained from analyzing company data. The ideal candidate is adept at using large data sets to find opportunities for product and process optimization and using models to test the effectiveness of different courses of action. They must have strong experience using a variety of data mining/data analysis methods, using a variety of data tools, building and implementing models, using/creating algorithms and creating/running simulations. They must have a proven ability to drive business results with their data-based insights. They must be comfortable working with a wide range of stakeholders and functional teams. The right candidate will have a passion for discovering solutions hidden in large data sets and working with stakeholders to improve business outcomes.  

What You Will Do:

• Work with stakeholders throughout the organization to identify opportunities for leveraging company data to drive business solutions.
• Assess the effectiveness and accuracy of new data sources and data gathering techniques.
• Develop custom data models and algorithms to apply to data sets.
• Develop company A/B testing framework and test model quality.
• Coordinate with different functional teams to implement models and monitor outcomes.
• Develop processes and tools to monitor and analyze model performance and data accuracy.

Required Qualifications:

• Bachelor's Degree
• 3+ years of experience manipulating data sets and building statistical models
• Experience using statistical computer languages (R, Python, SQL, etc.) to manipulate data and draw insights from large data sets.
• Experience creating and using advanced machine learning algorithms and statistics: regression, simulation, scenario analysis, modeling, clustering, decision trees, neural networks, etc.

Preferred Qualifications:

• Certificate, Master’s or PHD in Statistics, Mathematics, Computer Science or another quantitative field a plus
• Strong problem solving skills with an emphasis on product development.
• Experience working with LLM, NLP, etc. 
• Knowledge of marketing clean rooms and their use cases around segmentation, propensity scoring, and media measurement.
• Knowledge of a variety of machine learning techniques (clustering, decision tree learning, artificial neural networks, etc.) and their real-world advantages/drawbacks.
• Knowledge of advanced statistical techniques and concepts (regression, properties of distributions, statistical tests and proper usage, etc.) and experience with applications.
• A drive to learn and master new technologies and techniques.
• Familiarity with the following software/tools:Coding knowledge and experience with several languages: Java, R, Python, SQL
• Experience with cloud services: GCP, AWS, etc.
• Experience analyzing data from 3rd party providers: Google Analytics, Facebook Insights, etc.
• Experience with big data tools: Hadoop, Spark, Kafka, etc.
• Experience visualizing/presenting data for stakehold