Data Scientist

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🕒 July 18

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RR Donnelley

10,000+ employees

💼 Consulting

📦 Logistics

🏭 Manufacturing

Consulting • Logistics • Manufacturing

RR Donnelley is a leading global provider of marketing, packaging, print, and supply chain solutions that elevate engagement across the complete customer journey. The company offers the industry’s most trusted portfolio of creative execution and world-wide business process consulting, with services designed to lower environmental impact. With 22,000 clients, including 93% of the Fortune 100, and 32,000 employees across 28 countries, RRD brings the expertise, execution, and scale designed to transform customer touchpoints into meaningful moments of impact.

📋 Description

• 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

• 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

• 100% Telecommuting is permitted.

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