Data Science (Master’s degree) (2027 Grads)
Procter & Gamble · Cincinnati, OH · 2 days ago
Design$85k–$115k/yrFull-time
Job Location: Cincinnati General Offices
About the role
Data Science at P&G integrates business, innovation, and technology to build a competitive advantage. As a Data Scientist, you will apply your creative and analytical skills alongside business leadership to deliver groundbreaking business models and capabilities. Your work will help win with consumers by turning insights into measurable recommendations that drive business value creation.
Responsibilities
- Use Big Data and advanced analytics to advise business leaders and collaborate across functional partners to accomplish project objectives.
- Implement research and analytics, including data source identification, processing, model/algorithm development, and exploratory data analysis.
- Design and develop scalable Data Science algorithms.
- Work closely with Data and Software Engineering teams to productionize algorithms.
- Conduct feature engineering and model building on large datasets.
- Act as a technical coach and mentor to develop others.
- Become an expert in one or multiple Data Science techniques and methodologies.
Requirements
- Graduating in Spring or Summer 2027 with a Master’s degree in Data Science, Statistics, Applied Mathematics, Physics, Computer Science, Business Analytics, Operations Research, Software Development, or a similar quantitative field.
- Proven leadership in applying and scaling analytic techniques to deliver measurable insights from data.
- Strong written and verbal communication skills to influence stakeholders.
- Ability to balance multiple priorities and work with diverse business scenarios.
- Strong problem-solving skills and a "can-do" attitude.
- Passion and curiosity about the intersection of business and technology.
Skills
Preferred experience with:
- Analytical Tools/Applications: Unix/Linux, Big Data Ecosystem (Hadoop, Spark, MapReduce, SQL, Hive), Scientific Computing (R, Python, C++, Java, Scala).
- High-Performance Parallel and Distributed Computing.
- Deep Learning frameworks: Keras, TensorFlow.
- Data Visualization and Data Management Systems.
- Business Intelligence tools: KNIME, Tableau.
Pay
Starting salary range: $85,000 – $115,000 per year. Total rewards include salary, bonus (if applicable), and benefits.
Schedule
Full time.