What are the responsibilities and job description for the Data Scientist / Analyst ( Marketing mix Modelling ) position at Redolent, Inc?
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
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.
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.