below marketmost similar roles pay hereabove market
This role pays less than
91%
of similar roles. Most pay
$126,800–$211,200
— the blue band above.
At the midpoint, this role pays about
$104k
versus about
$169k
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
$92,000–$122,200
across 5 roles with salary data.
JOB TITLE: Data Science (Master’s degree) (2027 Grads) is an entry level role where you will join a team to integrate business, innovation, and technology. You will use big data and advanced analytics to advise business leaders, turning insights into measurable recommendations that drive business value. Your daily responsibilities include identifying data sources, processing information, and developing scalable algorithms and models. You will collaborate with data and software engineering teams to productionize these algorithms while performing exploratory data analysis and feature engineering. Required skills include proficiency in R, Python, C++, Java, or Scala, along with experience in Hadoop, Spark, SQL, Keras, and Tensorflow. You will also utilize tools like KNIME and Tableau to solve complex business problems and provide technical coaching to others.
Design and develop scalable Data Science algorithms to solve business problems.
Identify and process data sources to build robust analytical models.
Conduct exploratory data analysis and feature engineering on large datasets.
Productionize algorithms by working closely with Data and Software Engineering teams.
Translate data insights into measurable recommendations that drive business value.
Serve as a technical coach to develop and mentor other team members.
Advise business leaders on the use of Big Data and advanced analytics.
What we're looking for
You must be graduating in the Spring or Summer of 2027 with a Master's degree in a quantitative field.
Required degrees include Data Science, Statistics, Applied Mathematics, Physics, Computer Science, Business Analytics, Operation Research, or Software Development.
You must be able to implement research and analytics, including data source identification, processing, and model development.
You must be able to design and develop scalable Data Science algorithms.
You must be able to conduct exploratory data analysis, feature engineering, and model building on large datasets.
You must be able to collaborate with Data and Software Engineering teams to productionize algorithms.
You must be able to coach and mentor others as a technical coach.
Machine Learning
Natural Language Processing
Python
Java
C++
TensorFlow
PyTorch
MLFlow
Hadoop
Spark
Recommender Systems
Graph Representation Learning
Computer Vision
Information Retrieval
Big Data
Ranking
Machine Learning
Deep Learning
Python
Scala
Java
C
SQL
R
Matlab
scikit learn
Statistical Modeling
Data Mining
Big Data
Relational Databases
Time Series Analysis
Causal Analysis