IL0202 – Data Scientist at RR Donnelley

Warrenville, Illinois, United States -

Full Time

Start Date

Immediate

Expiry Date

23 Jan, 26

Salary

125461.0

Posted On

25 Oct, 25

Experience

2 year(s) or above

Remote Job

Yes

Telecommute

Yes

Sponsor Visa

Skills

Data Science, Machine Learning, Programming, Data Visualization, Big Data Analytics, Cloud Computing, Agile Methodology, Version Control, Data Exploration, Feature Engineering, Supervised Learning, Unsupervised Learning, Probability, Statistics, Data Analysis, Documentation

Industry

Marketing Services

Description

Company Description RRD 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. Job Description Data Scientist, R.R. Donnelley & Sons Company, Warrenville, IL. Develop and implement a set of techniques or analytics applications to transform raw data into meaningful information using data-oriented programming languages and visualization software. 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, potentially from disparate and complex data sources, to facilitate high quality analyses. 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 to productionize work. Automate processes for recurring analyses or other model building activities, focusing on efficiency. Participate in planning, roadmap, and architecture discussions to help evolve our AI processes to improve revenue-generating products. 40 hrs./week, Mon-Fri, 8:30 a.m. - 5:30 p.m. Qualifications Master’s degree in Data Science, Computer Science or related field and two (2) years of experience in a computer occupation. Must have two (2) years of experience with/in: Programming and sara analysis using Java, Python, Shell Scripting, PySpark, or SASSQL. 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. Additional Information $125,461.00/yr. In addition to base salary, the total compensation package may also include participation in a bonus, commission or incentive program. RRD’s benefit offerings include medical, dental, and vision coverage, paid time off, disability insurance, 401(k) with company match, life insurance and other voluntary supplemental insurance coverages, plus parental leave, adoption assistance, tuition assistance and employer/partner discounts. 100% Telecommuting is permitted To apply, please submit your resume by visiting https://www.rrd.com/about/careers and searching the job code IL0202 – Data Scientist. All your information will be kept confidential according to EEO guidelines. All employment offers are contingent upon the successful completion of both a pre-employment background and drug screen. RRD is an Equal Opportunity Employer, including disability/veterans

Responsibilities

Develop and implement analytics applications to transform raw data into meaningful information. Collaborate with teams to productionize work and automate processes for efficiency.