Data Scientist

Key Skills

Agile methodologies, Azure, Confluence, Data science techniques, DevOps, Github, Google Cloud Platform (GCP), JIRA

Job Description

We are looking for a passionate Data Scientist who is eager to make an impact on their career and take on a new challenge!

You will join a renowned company improving lives of billions of consumers. You’ll be welcomed within a large team of Data Scientists with diverse backgrounds and seniorities whereby you will take ownership of an algorithm/model need. Within that network, it will be your job to formulate the problem, apply state-of-the-art artificial intelligence, use P&G’s cloud platforms, and present the results from your algorithms and learn new things to create solutions to real opportunities.

With us you will:

• Mine terabytes of data, develop models and algorithms to derive actionable insights, and then translate those insights into business.
• Partner with business leaders to fully understand the problem, and data engineers to automate & deploy your models into applications providing prescriptions to Sales and Marketing executives - that allow P&G to serve consumers worldwide in a better way.
• Have a deep understanding of Statistics and Machine Learning, Optimization, and other advanced analytical models – and how to apply to real world problems
• Analyze and model on big datasets – translating 1.5TB daily consumer touchpoints and 500 million consumers' behaviors to actionable recommendations.
• Answer business questions and propose solution for business problems by applying machine learning techniques and algorithms and automatize analysis of consumer information or other deep learning data.
• Discover and invent next-generation analytic capabilities for our category analysts and business partners.
• Own your new creative algorithm-driven applications from design-thinking up to user adoption.
• Team-up with technology partners to translate your innovations into robust, scaled, analytic solutions.

What we offer you:

• Relocation support to Panamá.
• Dynamic and respectful work environment – We live our Purpose, Values, and Principles daily. We value every individual and encourage initiatives promoting agility and work/life balance.
• Work in international teams with regional or global responsibilities.
• Industry Certifications, plus internal development programs & training
• Competitive salary and benefits program
• Long-term career with development and growth opportunities

About Us

P&G serves consumers around the world with one of the strongest portfolios of trusted, quality, leadership brands, including Always®, Ambi Pur®, Ariel®, Bonux®, Braun®, Blend-a-Med®, Fairy®, Gillette®, Head & Shoulders®, Lenor®, Naturella®, Olay®, Oral-B®, Pampers®, Pantene®, Vizir®, Vicks® The P&G community includes operations in approximately 70 countries and more than 100 thousand employees worldwide. Please visit www.pg.com for the latest news and information on P&G and its brands.

We are committed to providing equal opportunities in employment. We value diversity and we do not discriminate on the basis of race, religion, color, national origin, gender, sexual orientation, age, marital status, veteran status, or disability status.

We will ensure that individuals with disabilities are provided reasonable accommodation to participate in the job application or interview process, to perform essential job functions, and to receive other benefits and privileges of employment. Please contact us to request accommodation.

Job Qualifications

• At least a bachelor’s degree in a quantitative field (statistics, operations research, engineering, computer science, applied math, economics) with 2+ years of relevant data science experience and/or a Master’s Degree in Data Science.
• Solid code writing capabilities – Python and Spark are preferable
• Understanding of Business Tools such as PowerBI or Tableau
• Proven success in leadership, problem solving and prioritizing.
• Strong collaboration skills and working comfortably across teams.
• Preferable: Knowledge and experience working with Cloud Infrastructure: Microsoft Azure, Google Cloud Platform.
• Preferable: Experience with Agile DevOps, GitHub, Jira, Confluence.