[Remote] Marketing Scientist I

Note: The job is a remote job and is open to candidates in USA. RRD is a leading global provider of marketing, packaging, print, and supply chain solutions. The Marketing Scientist I will contribute to the execution and delivery of strategic analytic and insight projects, focusing on data transformation, statistical analysis, and ROI optimization while collaborating with various internal teams and clients.

Responsibilities

• Execute analytical projects from established data requirements, that specific client deliverable, tasks, and analysis timing
• 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
• 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 building targeting models, developing segmentation schemes, creating test designs, measuring program performance, identifying and implementing optimization techniques, computing performance lift and ROI

Skills

• 4 Year / Bachelors Degree-Bachelor's degree in a quantitative discipline is required
• 1 year of experience
• A strong understanding of marketing strategy and analysis, campaign targeting, test design, and measurement is strongly preferred
• Knowledge of statistical techniques such as logistic regression, cluster analysis, and basic experimental design
• Exposure to newer data transformation techniques such as data/text mining, pattern recognition and dataframe operations
• Demonstrated strength in effective written and oral communication
• Ability to provide presentation of technical/statistical findings to non-technical audiences
• Hands-on experience using data query and analytic tools such as SQL, and Python; must be able to work with large databases (querying, joining, summarizing) to create analytic datasets and execute analyses
• Capable of working in a dynamic environment, handling multiple projects, meeting deadlines, able to prioritize appropriately and respond to issues quickly and creatively
• Graduate Degree-Higher education in statistics, mathematics, analytic MBA, or other quantitative graduate degree preferred
• Familiarity with standard data analytics libraries such as Pandas and NumPy is a plus
• Experience with data visualization (e.g., matplotlib, R), other languages (e.g., Python), command line prompts in Linux and cloud platforms (e.g., AWS) is a plus

Benefits

• Medical
• Dental
• 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

Company Overview