This role pays less than
92%
of similar roles. Most pay
$126,800–$198,000
— the shaded band above.
At the midpoint, this role pays about
$104k
versus about
$162k
for comparable roles.
Based on 240 similar postings.
Employer
About P&G
Procter & Gamble (P&G) is one of the world''s largest consumer goods companies, marketing a broad portfolio of household and personal care brands including Tide, Pampers, Gillette, and Crest. Industry: Consumer Goods
P&G currently has
5 open roles
on FindRole.
Listed pay typically runs
$85,000–$122,200
across 5 roles with salary data.
Data Science (Master’s degree) (2027 Grads) involves joining a team where business, innovation, and technology integrate to create competitive advantages. In this role, you will use Big Data and advanced analytics to advise business leaders by identifying data sources, processing information, and developing models or algorithms. You will collaborate with Data and Software Engineering teams to productionize these algorithms while performing exploratory data analysis and feature engineering on large datasets to turn insights into measurable recommendations. The required technical toolkit includes Unix/Linux, the Hadoop ecosystem (Spark, MapReduce, SQL, Hive), and scientific computing in R, Python, C++, Java, or Scala. Additionally, you will utilize Deep Learning frameworks like Keras and TensorFlow, alongside data visualization tools such as Tableau and KNIME to solve complex business problems through technical expertise.
Identify data sources and process large datasets for exploratory analysis and feature engineering.
Design and develop scalable Data Science algorithms to solve business problems.
Work with Data and Software Engineering teams to productionize developed algorithms.
Translate complex data insights into measurable recommendations that drive business value.
Act as a technical coach to share expertise and mentor other team members.
Develop deep expertise in specific Data Science techniques and methodologies.
Use Big Data tools and advanced analytics to advise business leaders on strategic goals.
What we're looking for
Must be graduating in Spring or Summer of 2027 with a Master's degree in a quantitative field such as Data Science, Statistics, Physics, or Computer Science.
Proven leadership in applying and scaling analytic techniques to deliver measurable insights from data (preferred).
Strong written and verbal communication skills to influence others to take action (preferred).
Ability to balance multiple priorities and solve problems for complex business processes with a "can-do" attitude (preferred).
Experience with tools such as Unix/Linux, Hadoop, Spark, MapReduce, SQL, Hive, R, Python, C++, Java, or Scala (preferred).
Experience with deep learning frameworks like Keras or TensorFlow (preferred).
Experience with data visualization and business intelligence tools like KNIME or Tableau (preferred).
Python
R
SAS
SPSS
PowerBI
Tableau
Data Warehousing
Predictive Modeling
Linear Models
Multivariate Analysis
Clustering
Bayesian Methods
Scripting
Data Mining
Python
C++
SQL
Java
Machine Learning
Generative AI
Monte Carlo Methods
Linear Algebra
Statistics
Data Analysis
Modeling
Risk Management
Differential Equations
Applied Probability
Python
C++
SQL
Java
Monte Carlo methods
Differential equations
Linear algebra
Applied probability
Statistics
Generative AI
Data Analysis
Modeling
Software Engineering
Data Management
Quantitative Analytics