Data Scientist V - Marketing Science

Remote, IL 62629

Posted: 05/11/2023 Job Number: 37412

Job Description


Pay range is $67 - $98 per hour with full benefits available, including paid time off, medical/dental/vision/life insurance, 401K, parental leave, and more. Our compensation reflects the cost of labor across several US geographic markets. Pay is based on several factors including market location and may vary depending on job-related knowledge, skills, and experience.

THE PROMISES WE MAKE:

At Crystal Equation, we empower people and advance technology initiatives by building trust.  Your recruiter will prep you for the interview, obtain feedback, guide you through any necessary paperwork and provide everything you need for a successful start.  We will serve to empower you along the way and provide the path for your professional journey.

 

Data Scientist V


Summary:

To fulfill this mission, the Marketing Science team at our company is actively seeking an experienced Marketing Science Partner.
  • A Marketing Science Partner at our company works with internal and external clients in an industry vertical such as Automotive, E-commerce, Entertainment, CPG, Fin-Serv, Tech etc. on an ongoing basis to adopt better measurement as a way to improve business outcomes. To accomplish this, the person in this role will work directly with clients using our industry leading measurement tools and data sets.
  • Driving good measurement with advertisers will require designing tests (conversion lift, brand lift, attribution etc.) and doing research to help clients understand and improve the effectiveness of their advertising across digital platforms and across media. Conclusions from this work will showcase what good measurement is and how clients can act upon it to drive business impact. The Marketing Science Partner will also focus on customizing existing capabilities or in some cases piloting new, scalable capabilities in partnership with Product, R&D, and Partnerships.
  • Our company is seeking exceptional candidates to join the Marketing Science team: we’re looking for people with strong analytical and critical thinking skills as well as familiarity with large data sets and data manipulation tools. To successfully influence how advertisers conduct and use measurement, the candidate should be able to work cross-functionally with teams such as Sales, Creative Shop, Ads Research, Product Marketing etc.
  • Responsible for managing a complex set of client and agency relationships Engage with clients and agencies to measure true business value by building and operationalizing measurement strategies that highlights how a client can improve business outcomes by employing better measurement techniques Drive client, vertical, and industry adoption of preferred measurement methodologies, products, and approaches
  • Design tests to showcase the power of good measurement using client data and internal or third-party technology tools
  • Conduct in-depth standard and custom ad effectiveness studies for our advertisers to understand the relative impact of different marketing strategies across digital platforms and across media
  • Communicate complex research results to a general audience Provide feedback to and collaborate with Product, R&D, and Partnerships to identify opportunities for new features, products, and partnerships and drive client engagement around measurement innovation, including product alphas and beta

Minimum Qualifications:
  • Experience with advertising measurement methods and technologies
  • Experience with data querying languages (eg. SQL) and manipulation tools to work with large data sets
  • Experience with field experiments, experimental design, survey sampling, and/or panel data
  • Partner closely with cross-functional partners such as Sales, Product, R&D, Ads Research, Creative Shop etc.
  • Experience independently scoping and executing research projects with clients and/or cross-functional stakeholders
  • Experience analyzing and manipulating data sets to understand patterns and provide insights Experience communicating technical content to all types of audiences
  • Bachelor’s degree in Business, Statistics, Biostatistics, Data Science, Economics, Mathematics, Computer Science, Engineering, Sociology or similar

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