RR Donnelley

Senior Data Scientist

  • Job Type: Full Time
  • Industry Type: IT Sector
  • Industry Location: Remote
  • Experience: NA
  • No. of Positions: 1
  • Primary Skills: Analytics Business intelligence Consulting Data analysis Data visualization Database Machine learning Marketing Mathematics Marketing strategy Modeling
  • Secondary Skills: Optimization Pattern recognition Presentations Python R SAS SQL Statistics Tableau
  • Job Location: Remote, Remote
  • Posted Date: Posted today
Job Description

The qualified candidate must be an experienced data analyst with strong communication skills, adept at blending technical skills, analytical expertise, and business acumen. The Senior Data Analyst, will lead, execute, and deliver 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, Technology) and industries. The analyst 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.

 

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
  • Assisting in new business through the articulation of what RRD does for clients and project what that might look like in a new client or industry
  • Responsible for helping to identify industry trends and opportunities to strengthen the analytic and Business Intelligence teams
  • Assist in the guidance and mentorship of junior analysts on the team

Required Skills:

  • Qualified candidates need to possess 5-7 years of analytic consulting experience
  • Bachelor's degree in a quantitative discipline required. Higher education in statistics, mathematics, analytic MBA or other quantitative graduate degree 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 newer Advanced Analytic techniques such as data/text mining, machine learning, pattern recognition, sentiment analysis, network analysis, graph analysis, simulation, complex event processing, XGBoost, etc.
  • Demonstrated strength in effective written and oral communication. Experience with direct client contact and presentation of technical/statistical findings to non-technical audiences
  • 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 data visualization (e.g., Tableau, R), machine learning (e.g., Weka, mlpy), other languages (e.g., Python) and cloud platforms (e.g., AWS) a plus.
  • Capable of working in a dynamic environment, handling multiple projects, meeting deadlines, able to prioritize appropriately and respond to issues quickly and creatively.

 

RRD is an EEO/AA including Vets and Disabled Employer

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