Leading the world in essentials for a better life. That's what Kimberly-Clark is all about.
We place consumers at the center of everything we do. Billions worldwide choose our products to make a positive difference in their lives. That's a big responsibility and one we take seriously.
- 42,000 employees worldwide and operations in 35 countries
- Leading brands sold in more than 175 countries
- More than 145 years in business
- Nearly one-quarter of the world's population purchase our products every day
- $18.2 billion in sales for 2016
- With brands like Kleenex, Scott, Huggies, Pull-Ups, Kotex, Poise and Depend, Kimberly-Clark holds the No. 1 or No. 2 brand share in 80 countries
- Contributed more than $35.8 million in cash and products to charitable causes in 2016
On our brands:
Kimberly-Clark has some of the most recognized brands in the world. Our brands hold the No. 1 or No. 2 share position in 80 countries, and we have five billion-dollar brands: Huggies, Scott, Kleenex, Cottonelle and Kotex. We are increasing the use of digital and non-traditional channels and programs to advertise our brands and build personal relationships with consumers.
Kimberly-Clark Professional partners with businesses to create Exceptional Workplaces, helping to make them healthier, safer and more productive, with brands including Kleenex, Scott, WypAll, Kimtech and Jackson Safety.
Job Title: Data Science Intern
Job description
We are looking for a data science intern who will be responsible for applying data mining techniques, doing statistical analysis, and providing business insights and recommendations across our Marketing and Sales analytics functions. This role will work closely with APAC Data Scientist for implementing advanced analytics roadmap across Asia Pacific markets.
Responsibilities
- Processing, cleansing, and verifying the integrity of data used for analysis and modeling
- Selecting features, building and optimizing regression and classifier models using machine learning techniques
- Build scalable models and frameworks to support key marketing and sales initiatives delivering pragmatic, actionable insights
- Extending company’s data with third party sources of information when needed
- Additionally provide ad-hoc analysis and presenting results in a clear manner
Requirements
- Good understanding of machine learning techniques (regression, classification and clustering) and algorithms, such as k-NN, Naive Bayes, SVM, Decision Forests, etc.
- Experience with common data science toolkits, such as SQL, R, Python (NumPy) etc. Excellence in at least one of these is highly desirable
- Good applied statistics skills, such as distributions, statistical testing, regression, etc. is a plus
- Proficiency in using query languages such as SQL, Hive, Pig is a plus
- Ability to thrive in a dynamic, fast-paced environment
- Pro-active and willing to learn
- Prior experience in developing Market Mix Models, Consumer Segmentation, Pricing and Promotion analysis is a plus
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