Data Scientist

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🌽 Illinois – Remote

🌽 Illinois – Remote

💵 $128.6k / year

⏰ Full Time

🟢 Junior

🟡 Mid-level

📊 Data Scientist

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RR Donnelley

WebsiteLinkedInAll Job Openings

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- and 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 cloud services • Identify, clean, analyze, and summarize data from disparate and complex data sources • Prototype and implement advanced solutions to enhance existing ML model performance • Create documentation of research plans, results, and conclusions • Present research and recommendations to audiences with varying levels of experience • Collaborate with data engineering and operations teams to productionize work • Automate recurring analyses and model-building activities • Participate in planning, roadmap, and architecture discussions to evolve AI processes and improve revenue-generating products

🎯 Requirements

• Master’s degree in Data Science, Computer Science, or related field • Two (2) years of experience in a computer occupation • Two (2) years of experience with programming and data analysis using Java, Python, Shell Scripting, PySpark, or SAS SQL • Experience with PostgreSQL or MySQL • Experience with Tableau, AWS QuickSight, JavaScript, matplotlib, and seaborn • Experience with Pentaho, Snowflake, AWS Redshift, or Hadoop • Experience with AWS services including S3, RDS, SageMaker, Lambda, Step Functions, or Athena • Experience with supervised learning, unsupervised learning, feature engineering, or hyperparameter tuning • Knowledge of probability and statistics • Experience with Agile methodology • Experience with Jenkins or Git for version control • Experience with data exploration and data visualization • 40 hours per week, Monday through Friday, 8:30 a.m. to 5:30 p.m. • Successful completion of a pre-employment background and drug screen

🏖️ Benefits

• Medical coverage • Dental coverage • Vision coverage • Paid time off • Disability insurance • 401(k) with company match • Life insurance • Voluntary supplemental insurance coverages • Parental leave • Adoption assistance • Tuition assistance • Employer/partner discounts • Bonus, commission or incentive program may be included in total compensation