Skip Navigation
Close Search Form Search

Tired of browsing through hundreds of jobs? Use your LinkedIn profile to search for jobs quickly
Start Matching Learn More

P&G facilitates your search via TalentBrew, a job matching tool developed by TMP Worldwide. TalentBrew uses the LinkedIn application to extract job relevant information from a user’s LinkedIn profile (name, email, city, experience, education, skills & endorsements, recommendations, accomplishments and interests). P&G processes your data pursuant to its Candidate Privacy Notice.

We use that information to run an automated keyword-based comparison against P&G’s job descriptions and then present our available roles sorted by order of relevancy to your qualifications. The encrypted user data is only cached within our servers for 24 hours to save time for returning users. We do not access, process or store this information except to provide the job matching service

Begin a meaningful career right here

IT Data Science Manager

Apply Now

Data Scientists at P&G are Business Leaders: As a Data Scientist here, you will transform the business to enable better decision-making through the usage of advanced analytics. To be successful, this professional needs to be an effective communicator, self-motivated, and able to drive insights into actions that improve P&G’s business results. Your Business knowledge, interpersonal/communication skills are therefore a must to thrive in a multi-functional leadership team. Passionate about Analytics: Your analytic skills are the foundation of this role. The ability to connect and explore large data-sets, build predictive and descriptive models, and translate insights into business improving action is essential in our work.
Technically Capable: In this position you surely will “get your hands dirty”, leveraging artificial intelligence, data visualization, and analytic tools (R, Python, Scala, Spark, Hadoop, KNIME, etc.) to unlock business building insights in our mountains of data. You should be adept at leveraging such technologies for solving ad hoc business problems, innovating on potential future solutions, and working with technology partners to translate your innovations into robust, scaled, analytic solutions.
1. Work creatively e and relentless problem-solver using Big Data and Advanced analytics skill alongside leadership and direct engagement of business leaders.
2. Design research and analytic frameworks in the context of overall project objectives such as (but not limited to) media effectiveness, consumer engagement, P&G business model, optimization, etc.
3. Execute research and analytics, including data sources identification, processing, model/algorithm development, turning insights into actionable recommendation, presenting actionable recommendation and drive actions to business value creation.
4. Collaborate actively and effectively with other functions partners and senior management to accomplish project objectives.
5. Participate in and lead P&G analytic capability building program.ience Manager IT Data Science Manager

We are looking for leaders with Master's degree or Ph.D. in a quantitative field (Operation Research, Computer Science, Systems Engineering, Applied Math, Statistics, Analytics, etc.) or equivalent work experience.

- You should have minimum 3-5 years of work experience in Data Science field
- Demonstrate leadership in applying analytic techniques to deliver actionable insights from data
- Strong written and verbal interpersonal skills to influence others to take action
- Proven ability to handle multiple priorities
- Strong collaboration skills and the capacity to work within diverse organizations and teams

We are looking for a professional with 2 or more of the following specialties:
- Bayesian Analysis, Bayesian Decision Theory
- Probabilistic Modeling and Computation
- Machine Learning, including Deep Learning
- Uncertainty Quantification
- Optimization (global, local, stochastic methods)
- Dynamic (state-space) Models (Kalman Filter, Data Assimilation)
- Experimental Design
- Model Reduction, Dimensionality Reduction

- Unix/Linux
- Big Data Ecosystem: Hadoop, Spark, MapReduce, SQL, Hive
- Scientific Computing: R, Python, C++, Java, Scala,
- High-Performance Parallel and Distributing Computing
- Data Visualization
- Data Management Systems
- Business Intelligence tools: such as KNIME, Tableau, Spotfire

Job locations:
São Paulo, São Paulo
Job Type: Full-time Req No: IT 00001588
Apply Now
Stay Informed


Join our Talent Community to receive via email information about P&G, upcoming events, and job alerts.


Job Alerts & Career Communications