Redolent Infotech Pvt. Ltd.
Data Scientist / Analyst ( Marketing mix Modelling )
Redolent Infotech Pvt. Ltd., San Mateo, California, United States, 94409
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 a 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 processes with great attention to detail Assess the potential usefulness, validity, and rigor of new data sources Work with cross-functional teams to ensure high quality of the data Build hands-on media mix models to connect the impact of marketing tactics with business short-term and long-term outcomes Run optimization and simulation scenarios to help provide 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 of 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 attention-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.
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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 a 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 processes with great attention to detail Assess the potential usefulness, validity, and rigor of new data sources Work with cross-functional teams to ensure high quality of the data Build hands-on media mix models to connect the impact of marketing tactics with business short-term and long-term outcomes Run optimization and simulation scenarios to help provide 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 of 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 attention-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.
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