Beauty Consumer Measurement Sciences Data Scientist, PhD Intern

Procter & Gamble; Mason (OH); On-site; USD 60,000 - 80,000; Full time

Job summary

Procter & Gamble's Beauty Consumer Measurement Sciences Organization is seeking a Data Scientist Intern (PhD track) with strong quantitative and modeling skills to advance consumer test designs and data analysis.

You'll work on cutting-edge methods, build predictive models, and collaborate with product researchers to turn data into actionable insights that drive growth, with exposure to tools like Power BI, Tableau and cloud platforms.

Qualifications

• Strong quantitative and modeling skills with hands-on data science experience.
• Experience with SQL and data visualization tools.
• Comfortable working across cross-functional teams on R&D projects.
• Pursuing PhD in a quantitative field with an interest in consumer insights.

Responsibilities

• Serve as the Data Scientist on projects, enabling predictive modeling and analyses.
• Champion new methodologies to improve efficiency and insights.
• Develop relationships with category partners to grow capability.
• Lead analyses of consumer data and develop technical models and visualizations.

Skills

Quantitative analysis

Modeling

Data science

SQL basics

Data visualization

Education

PhD candidate

Tools

Power BI

Tableau

Azure Data Factory

AWS

Databricks

JMP

Statistical Analysis Software

Computer Programming

Job description

The Beauty Consumer Measurement Sciences Organization is seeking a Data Scientist, PhD Intern with strong quantitative & modeling skills. As a function, CMS provides technical leadership to ensure that project teams are maximizing scale and utilizing the best possible tools/techniques to optimize consumer test designs, data analysis and thereby maximizing business growth. As new data collection tools are developed, new analysis tools are required to evaluate the data and provide insights into what drives consumer delight. The successful candidate will have the ability to utilize cutting edge analysis and machine learning techniques to maximize insights and understanding.

Job Qualifications

As a Data Scientist Intern, you will be part of a multifunctional R&D project teams chartered to create winning product propositions. Specific responsibilities will include:

• Serve as the Data Scientist on projects, anticipating category analysis needs, maximize thinking around analysis tools and approaches to build predictive models, all while effectively managing to deliver on business priorities and timelines.
• Championing the utilization of novel approaches or leading-edge methodologies that are more effective and/or more efficient than current best approach.
• Developing key relationships with category partners to proactively grow the project and your capability.
• Leveraging analytic skills to conduct consumer data analyses, lead the development of new technical models and data science/ analysis/visualization approaches within the Beauty Consumer Measurement Sciences Organization.

Open to learning Beauty consumer science fundamentals- To be an effective Data Scientist partner with Products Researchers, you will need to learn modern quantitative consumer test methodologies and how they are applied in Beauty research. Understand the power of bringing together quantitative analysis and qualitative information to uncover new insights to provide better solutions that optimize timing and success of initiatives.

Quantitative/Data Science Skills- Strong knowledge or passion for data & analytics. Have experience of using modern data management/analysis tools to clean the dataset, create models, and conduct analyses. Passion to continue learning and growing data analytics skills. Understand data structure and schema and have/willingness to learn basic knowledge of SQL. Ability to effectively utilize data visualization approaches and tools to communicate with project partners, (e.g., Power BI, Tableau). Understanding cloud computing and tools will be a plus, for example Azure Data Factory, AWS or Databricks, etc.

Leadership Skills- Proven track record of project management, with seamless ability to balance multiple priorities, while maintaining the scientific integrity of the data analysis. Demonstrates ownership, initiative, develops plans, resolves issues and delivers. Champions new and better ways to achieve project objectives. Assesses and clearly communicates risks associated with different choices to enable the team to make decisions. Strong attention to detail.

Collaboration- Demonstrated ability in building collaborative, productive work partnership. This role requires an ability to be a strong collaborator, who is able to effectively work with multiple personalities and skill levels. Will work directly with suppliers on bids, test execution and data integrity. Also requires the ability to network with thought leaders to identify leading edge methods and best practices.

Agility and “Can Do” Attitude- Will have a range of projects and will need to stay in touch with the dynamic demands of the business and be flexible to adapt to these changes making efficient use of resources, external suppliers and personal capacity to deliver on the business priorities.

Operates with Discipline- Ability to deliver creative solutions to maximize consumer understanding within regulations, fiscal responsibility and project timeline constraints. The successful candidate must be able to demonstrate a track record of applying attention to detail, ability to meet agreed timelines and budgets and to act with a sense of urgency.

Independence- Demonstrated ability to work independently making day-to-day project decisions within the framework of project needs (timelines, constraints, expectations).

Grows Capability: Ability to coach and develop analytical skills of less experienced analysts. Ability to influence more experienced practitioners to enable adoption of new tools & techniques.

Proficiency or interest in learning the following applications: JMP mastery, Product Performance Modeling, Computer Experiments, Computer Programming, Scientific Programming, Statistical Analysis Software