Senior Data Scientist

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

RRD is seeking a Senior Data Scientist to join our team!

The qualified candidate must be an experienced data scientist with strong communication skills- able to blend technical skills, analytical expertise, and business acumen. The Senior Data Scientist will assist with the design, execution, and delivery of strategic analytics and insights for RRD’s clients and select internal constituencies.

The position will have a broad scope of responsibility, including statistical analysis, strategy development, testing, and ROI optimization. He or she will gain experience across a variety of clients and applications and interact with various functional areas (Business Units, Marketing and Technology) and industries. The Senior Data Scientist must be comfortable both performing and presenting analysis at all levels of detail. The position will be charged with the effective management of client marketing strategy, deepening and strengthening performance, and RRD’s relationships with clients.

Primary Responsibilities

• Design and scope analytical projects: formulate methodology, establish data requirements, identify client deliverables, determine tasks and timing
• Work with internal teams to address client business problems, set expectations, communicate progress and issues, produce results, and deliver findings to clients in a highly professional manner
• Apply statistical methods and execute analyses, such as: build targeting models, develop segmentation schemes, create test designs, develop trigger programs, measure program performance, identify and implement optimization techniques, compute performance lift and ROI
• Acquire and aggregate data from a variety of sources; audit contents and ensure proper usage of data fields; merge, summarize, and transform data as required for analysis
• Keep informed of leading-edge techniques and technologies; acquire training and new skills/knowledge to support development of analytical offering
• Identify growths opportunities within existing clients
• Responsible for helping to identify industry trends and opportunities to strengthen the Analytics and Business Intelligence teams
• Assist in the guidance and mentorship of junior analysts on the team
• Gain “working knowledge” of technologies required to keep RRD “leading‐edge”
• Travel as necessary

Qualifications

• Bachelor's degree in a quantitative discipline required. Higher education in statistics, mathematics, data sciences, economics, analytic MBA or other quantitative graduate degree strongly preferred
• Qualified candidates need to possess 5+ years of analytic consulting experience
• Hands-on experience using data query and analytic tools such as SAS, R, SQL, and Python. Must be able to work with large databases (querying, joining, summarizing) to create analytic datasets and execute analyses
• Experience with noSQL; streaming data, big data, Python data structures, tuples, dictionaries, etc.
• Experience with data visualization (e.g., Tableau, R, Python), machine learning (e.g., Weka, mlpy), cloud platforms (e.g., AWS) a plus
• Experience with advanced experimental design, time series forecasting, media mix modeling, text mining, web analytics, natural language processing and/or pricing experience is a plus
• Experience with direct client contact and presentations is strongly preferred.
• Strong understanding of marketing strategy and analysis, campaign targeting, test design and measurement
• Expert level familiarity with statistical techniques such as multivariate regression, linear regression, logistic regression, cluster analysis, and CHAID/CART modeling and basic experimental design
• Exposure to advanced analytic techniques such as machine learning, pattern recognition, sentiment analysis, network analysis, graph analysis, simulation, complex event processing, boosting models, ensemble models, keras/tensorflow, etc.
• Capable of working in a dynamic environment, handling multiple projects, meeting deadlines, able to prioritize appropriately and respond to issues quickly and creatively Demonstrated strength in effective written and oral communication. Ability to present technical/statistical findings to non-technical audiences

Additional Information

The national pay range for this role is $94,400 to $190,600 / 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.