Data Scientist / Analyst ( Marketing mix Modelling )

Redolent

  • San Mateo, California
  • 30+ days ago

    Highlights

    A collaborative mindset and sense of curiosity Preferred Qualifications • PhD degree in Statistics, Economics, Operations Research, or related field• Experienced in building market mix and multi-touch attribution models• Experience with advertising, measurement, and/or digital marketing analytics• Experience with advertising technology platforms Ad servers, DSPs, DMPs, etc. One of our direct client is urgently looking for following resource TITLE: Data Scientist / Analyst ( Marketing mix Modelling ) LOCATION: San Bruno, CA or Hoboken, NJ, Bentonville, AR or Chicago, IL Rate: DOE MUST SKILLS Senior level experience.

    Numbers & Facts

    LocationSan Mateo, California

    Description

    One of our direct client is urgently looking for following resourceTITLE: Data Scientist / Analyst ( Marketing mix Modelling ) LOCATION: San Bruno, CA or Hoboken, NJ, Bentonville, AR or Chicago, ILRate: DOE
    MUST SKILLS
    • Senior level experience
    • Python programming - Expert
    • Experience in "Marketing mix modelling" ( Media or marketing or advertising experience domain ) is MUST
    • Good experience in SQL
    • Experience in  data science 
    Responsibilities• Perform hands-on coding to retrieve and analyze large datasets using Python and SQL• Integrate disparate data sources and leverage state-of-the-art analytics best practices to deliver integrated actionable insights to partners and stakeholders• Manage and streamline data extraction process with great attention to details• Assess the potential usefulness, validity, and rigor of new data sources• Work with cross-functional team to ensure high quality of the data• Build hands-on media mix models to connect the impact of marketing tactics and business short-term and long-term outcomes• Run optimization and simulation scenarios to help provide the marketing investment and allocation recommendations to stakeholders• Explain complex modeling approaches in simple terms and develop compelling narratives that connect modeling results with business problemsMinimum Qualifications• Master's degree in statistics, economics, operations research, engineering, or related field• 4+ years of experience in data science, MMM, measurement, marketing strategy & analytics• Proficient coding skills (Python/SQL) and relational database knowledge and knowledge on Tableau• Experience in integrating, structuring, and analyzing large amounts of data from diverse sources• Extensive experience with predictive modeling algorithms• Strong project management skills and attend-to-detail documentation skills.• Strong written & verbal communication with the ability to communicate complex technical topics clearly to a range of audiences and to ‘tell a story’ that provides insight into the business• You have a passion for working in a fast-paced agile environment.• A collaborative mindset and sense of curiosityPreferred Qualifications• PhD degree in Statistics, Economics, Operations Research, or related field• Experienced in building market mix and multi-touch attribution models• Experience with advertising, measurement, and/or digital marketing analytics• Experience with advertising technology platforms Ad servers, DSPs, DMPs, etc.

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