Data Scientist

RR Donnelley

Data Scientist at RRD building and evaluating Marketing ML models using customer data. Transforming raw data into actionable insights and collaborating with engineering teams.

Posted 7/18/2026full-timeRemote • Illinois • 🇺🇸 United StatesJuniorMid-Level💰 $128,596 per yearWebsite

Core Competencies

Role fit

Core Competencies

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Expertise in developing and implementing machine learning models and data analytics applications, with a strong foundation in programming, data visualization, and cloud computing. Proficient in managing end-to-end data projects and collaborating with cross-functional teams to enhance AI processes.

Highest-signal resume keywords

Machine Learning ModelingProgramming in Java, Python, Shell Scripting, PySpark, or SAS SQLData Visualization with Tableau, AWS QuickSight, or matplotlibCloud Computing with AWS ServicesAgile Methodology

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills

Machine Learning ModelingProgramming in JavaProgramming in PythonShell ScriptingPySparkSAS SQLData VisualizationBig Data AnalyticsData ExplorationProbability and Statistics

Soft Skills

CollaborationCommunicationDocumentation

Tools & Technologies

PostgreSQLMySQLTableauAWS QuickSightPentahoSnowflakeAWS RedshiftHadoopJenkinsGit

Certifications & Qualifications

Master’s Degree in Data ScienceMaster’s Degree in Computer Science

Industry Keywords

Data ScienceData AnalyticsMachine LearningCloud ComputingAgile Methodology

Tech Stack

Tools & technologies

Amazon RedshiftAWSCloudHadoopJavaJavaScriptJenkinsMySQLPostgresPySparkPythonShell ScriptingSQLTableau

About the role

Key responsibilities & impact

Develop and implement techniques or analytics applications to transform raw data into meaningful information
Build and evaluate Marketing ML models using First & Third Party Customer Data
Create and manage end-to-end projects including analysis design, execution and summarization of results
Develop scalable data pipelines for feature extraction using various cloud services
Identify, clean, analyze and summarize data
Prototype and implement advance solutions to enhance existing ML model performance
Create clear documentation of research plans, results, and conclusions
Present research and recommendations based on research findings to audiences of varying level of experience
Collaborate with data engineering and operations teams
Automate processes for recurring analyses or other model building activities
Participate in planning, roadmap, and architecture discussions to help evolve AI processes

Requirements

What you’ll need

Master’s degree in Data Science, Computer Science or related field
2 years of experience in a computer occupation
2 years of Programming and data analysis using Java, Python, Shell Scripting, PySpark, or SAS SQL
Databases: PostgreSQL or MySQL
Data Visualization and Business Intelligence: Tableau, AWS QuickSight, Javascript, matplotlib, and seaborn
Big Data Analytics: Pentaho, Snowflake, AWS Redshift, or Hadoop
Cloud Computing: AWS (S3, RDS, SageMaker, Lambda, Step Functions, or Athena)
Machine Learning Modeling: Supervised Learning, Unsupervised Learning, Feature Engineering, or Hyperparameter Tuning
Probability and Statistics
Agile Methodology
Version Control: Jenkins or Git
Data Exploration
Data Visualization

Benefits

Comp & perks

100% Telecommuting is permitted.