Data Scientist / Analyst ( Marketing mix Modelling )

Company: Redolent
Location: San Mateo
Posted on: April 2, 2026

Job Description:

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 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 problems Minimum 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 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.

Keywords: Redolent, Richmond , Data Scientist / Analyst ( Marketing mix Modelling ), PR / Public Relations , San Mateo, California