Marketbridge is looking to solve the problem of helping clients improve their marketing and sales outcomes by leveraging data science and analytics
Requirements
- Has experience in econometric techniques, including panel data, ridge regression, and multiple functional forms as well as machine learning techniques
- Demonstrates strong coding skills in R and/or Python, including data munging
- Is adept at creating reproducible deliverables (Rmarkdown, notebooks, etc.)
- Has experience with version control (git, github, etc.) and modern data storage (MapReduce, Spark)
- Has a background in highly quantitative hard sciences (advanced math, computer science, or economics) or highly quantitative social sciences
- Is comfortable using big or small data environments to answer questions and then develop an overall story about what the analysis means
- Can integrate stimulus, response, and control data from a variety of sources including agencies, internal systems, and technology platforms
Responsibilities
- Model Development: Investigate, suggest, and attempt new model builds including Marketing Mix Models (MMM) and Multi-Touch Attribution (MTA)
- Project and Client Management: Communicate with clients regarding data outputs, create technical slides for project deliverables, and flag roadblocks that may impede on-time delivery
- Internal Collaboration: Participate in brainstorms and troubleshooting, partner with Lead Data Scientist and Project Manager to outline modeling approach and data sources, and support and mentor junior Analysts
Other
- Has 2+ years of experience in data-driven consulting, market research, and data science
- Can balance multiple projects at one time, under tight deadlines
- Has excellent written and oral communication, presentation, and analytical skills
- Is extremely conscientious, with a strong attention to detail and excellent organizational skills
- Be proactive and start projects with little prodding
