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Marketing Scientist I

MarketingMarketingFull TimeRemoteJuniorTeam 10,001+H1B No SponsorCompany SiteLinkedIn

Location

Illinois

Posted

17 days ago

Salary

$64K - $98.4K / year

Seniority

Junior

Bachelor Degree1 yr expEnglishAWSCloudLinuxNumpyPandasPythonSQL

Job Description

Marketing Scientist I

RR Donnelley

• 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 a

Job Requirements

  • 4 Year / Bachelors Degree-Bachelor's degree in a quantitative discipline is required.
  • Graduate Degree-Higher education in statistics, mathematics, analytic MBA, or other quantitative graduate degree preferred
  • 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.
  • 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.
  • Capable of working in a dynamic environment, handling multiple projects, meeting deadlines, able to prioritize appropriately and respond to issues quickly and creatively.

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

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