Note: The job is a remote job and is open to candidates in USA. RRD is a global provider of marketing, packaging, print, and supply chain solutions serving clients worldwide. The Data Scientist will develop marketing machine learning models, analyze complex customer data, build scalable cloud-based data pipelines, and deliver research-driven recommendations. The role also involves productionizing solutions, automating recurring analytics activities, and contributing to AI architecture and product strategy.
Responsibilities
- 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
Skills
- Master's degree in Data Science, Computer Science or related field and two (2) years of experience in a computer occupation
- 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
- 100% Telecommuting is permitted
Benefits
- Medical, dental, and vision coverage
- Paid time off
- Disability insurance
- 401(k) with company match
- Life insurance
- Other voluntary supplemental insurance coverages
- Parental leave
- Adoption assistance
- Tuition assistance
- Employer/partner discounts
- 100% Telecommuting is permitted
- Participation in a bonus, commission or incentive program
Company Overview
Company H1B Sponsorship