What are the responsibilities and job description for the Data Scientist position at Redolent, Inc?
One of our direct client is urgently looking for a Data Scientist @ San Bruno, CA
TITLE: Data Scientist - Marketing/Advertising
LOCATION: San Bruno, CA
Duration: 6 to 12 Months
Client inputs
- Marketing Mix model or media experience
- Strong Python programming
- Good statistical background
- PhD degree preferred ( not must )
- Past experience with Media Analytics company is desired
- A/B testing a plus
Description:
We are seeking an experienced data science individual contributor to enable deep insights and capabilities to our clients through advanced analytics and machine learning techniques (e.g. predictive modeling, segmentation, etc)
Responsibilities
• Perform hands-on modeling and complex analyses using Python, SQL and/or R
• Build and enhance 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 Marketing leadership and CMO
• Present media mix insights to different levels of senior clients
• Explain complex modeling approaches in simple terms and develop compelling narratives that connect modeling results with business problems
• Partner with cross-functional team to streamline data science solutions
• Integrate disparate data sources and leverage state-of-the-art analytics best practices in order to deliver integrated actionable insights to partners and senior leadership around digital marketing optimization
Minimum Qualifications
• Master's degree in statistics, economics, operations research, engineering, or related field
• 6 years of industry experience in data science, measurement, marketing strategy & analytics
• Strong communication skills to ‘tell a story’ that provides insight into the business
• Proficient coding skills (SQL/Python/R) and database knowledge
• Extensive experience with predictive modeling algorithms
• Strong project management skills, including managing technical resources and multiple priorities & milestones.
• 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.
• Advanced programming skills with experience of creating Python modules
• Experience with A/B and Multivariate test design and implementation
