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, Speed Stick, Lady Speed Stick, Softsoap, Irish Spring, Protex, Sorriso, Kolynos, elmex, Tom’s of Maine, Sanex, Ajax, Axion, Fabuloso, Soupline and Suavitel, as well as Hill’s Science Diet, Hill’s Prescription Diet and Hill’s Ideal Balance.
For more information about Colgate’s global business, visit the Company’s web site at . To learn more about Colgate Bright Smiles, Bright Futures® oral health education program, please visit .
To learn more about Hill's and the Hill’s Food, Shelter & Love program please visit hillspet.com. To learn more about Tom’s of Maine please visit .
Location : Mumbai, Maharashtra, India
Relocation Assistance Offered Within Country
We have a number of exciting projects in the works and we are looking for a Data Scientist to join our team to help realize our vision.
The ideal candidate must possess strong business intelligence and analytical skills. You will support strategic decision-
making processes through the combination of your analytical, data-driven approach and operational mindset. You’ll work closely with the Connected Health leadership team to create and manage dashboards and develop KPI reporting that drives critical decision-
making to propel organizational success. To achieve these objectives, you will be responsible for researching, developing, and implementing advanced analytical solutions and cutting-edge reporting tools.
With an internal consulting mindset, you will participate in identifying opportunities, developing business requirements, collecting relevant information, performing data analysis, and generating and implementing innovative and sustainable solutions to address business priorities.
Roles and Responsibility :
Mine and analyze data from company databases to drive optimization and improvement of product development, marketing techniques, and business strategies.
Deploy sophisticated analytics programs, machine learning, and statistical methods.
Develop custom data models and algorithms to apply to data sets.
Use predictive modeling to increase and optimize customer experiences, and other business outcomes.
Prepare data for predictive and prescriptive modeling and finding trends in data sets and developing algorithms to help make raw data more useful to the enterprise.
Develop processes and tools to monitor and analyze model performance and data accuracy.
Develop a testing framework and test model quality and improve test coverage of existing code bases.
Support Connected Health platforms servicing worldwide Colgate Operations
Design and develop enterprise and departmental business intelligence, data warehousing, and reporting solutions.
Responsible for designing and developing Tableau dashboard reports to meet business requirements
Experience using statistical computer languages (R, Python, SQL, etc.) to manipulate data and draw insights from large data sets.
Knowledge of a variety of ML techniques (clustering, decision tree learning, artificial neural networks, etc.) and their real-
world advantages / drawbacks.
Experience in developing data visualizations, dashboards and reporting in Tableau
Comfortable working with cloud data source
Knowledge of advanced statistical techniques and concepts (regression, properties of distributions, statistical tests, and proper usage, etc.
and experience with applications.
Knowledge and experience in statistical and data mining techniques : GLM / Regression, Random Forest, Boosting, Trees, text mining, social network analysis, etc.
Experience querying databases and using statistical computer languages : R, Python, SQL, etc.
Knowledge of wearables technology
Familiarity with data privacy concepts (GDPR, PCI, HIPAA)
Qualification & Competencies
Bachelor's degree in Computer Science, Information Technology, Mathematics, Engineering or similar degree
At least 5+ years of experience in manipulating data sets and building statistical models.
Strong problem-solving skills with an emphasis on product development.
Strong experience with test-driven development methodologies
Strong oral & written communication skills with an ability to express complex technical concepts in business terms and business needs in technical specifications
A drive to learn and master new technologies and techniques.