Senior Data Scientist (Marketing Solutions)

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

This individual will be an integral part of the team to improve efficiency and make sure our products/services are generating maximum revenue. The Data Scientist will define data collection requirements, perform statistical analysis on data sets and create reports. He/She will play a lead role in business intelligence, advanced analytics, data integration, and master data management efforts and will be involved with traditional application development projects where necessary. This position will support revenue-generating projects and will have a significant impact on RR Donnelley's client service business profitability.

Responsibilities

1. Standard tasks of data mining, data collection, predictive variables, and creating algorithms.
2. Evaluating existing technologies and/or creating new machine learning and data mining algorithms, designing and executing offline/online experiments.
3. Prepares comprehensively documented observations, analyses, and interpretations of results including technical reports, summaries, protocols, and quantitative analyses.
4. Works with big data and distributed computing platforms.
5. Create, implement and evaluate alternate models through various theoretical approaches.
6. Research and develop statistical learning models for data analysis.
7. Develop and deploy predictive models based on historical data that provide future predictions about customer behavior.
8. Collaborate with business stakeholders and engineering departments to understand company needs and devise possible solutions.
9. Communicate results and ideas to key decision makers and possess the ability to present findings to non-technical audiences.
10. Implement new statistical or other mathematical methodologies as needed for specific models or analysis.
11. Optimize joint development efforts through appropriate database use and project design.
12. Understand the flow of data, business processes/technical interfaces that would be created or impacted.
13. Identify and document sources of existing data as well as new data.
14. Understand use of master and reference data including sources and contributors.
15. Document the source-to-target mappings for both data integration as well as web services (consumer/provider mappings) that can be easily understood by the project team members with data quality and transformation rules.
16. Ensure conformance to enterprise data governance policies around information risk and data protection guidelines.
17. Identify other opportunities that will help improve operations.
18. Guide and lead the team through various projects, keep track of their progress and provide feedback. Mentor and train junior staff and/or interns.

Qualifications

1. Bachelor's Degree in Statistics, Mathematics, Actuarial Science, Computer Science, Machine-learning, or related fields required.
2. Master's Degree preferred.
3. 10+ years of relevant work experience in analytics, data mining, and/or data modeling.
4. Understanding of statistical and predictive modeling concepts, machine-learning approaches, clustering and classification techniques, and recommendation and optimization algorithms.
5. Knowledge of SQL, R, and/or Python and machine learning techniques are required.
6. Knowledge of SAS and/or SPSS is required.
7. Working knowledge of *nix shells and file systems.
8. Comfortable using Git variant version control systems.
9. Demonstrated experience to support, document, and evolve the processes to assess and improve data quality.
10. Demonstrated experience effectively diagnosing, isolating, and expediently resolving complex problems pertaining to data infrastructure.
11. Demonstrated experience evaluating and making recommendations regarding data integrity.
12. Demonstrated experience crafting and delivering on project milestones.
13. Ability to understand various data structures and common methods in data transformation.
14. Strong attention to detail and excellent quantitative and qualitative analytical ability.
15. Excellent communication skills both written and verbal.

Additional Information

The national pay range for this role is $110,900 to $226,500 / year. The pay range may be slightly lower or higher based on the geographic location of the hired employee. The actual pay offered may vary based upon, but not limited to: education, skills, experience, proficiency, performance, shift and location. In addition to base salary, depending on the role, the total compensation package may also include participation in a bonus, commission or incentive program. RRD offers benefits including medical, dental, and vision coverage, paid time off, disability insurance, 401(k) with match, life insurance and other voluntary supplemental insurance coverages, plus tuition assistance, maternity leave, adoption assistance, and employer/partner discounts. All your information will be kept confidential according to EEO guidelines.

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RRD is an Equal Opportunity Employer, including disability/veterans.