Data Scientist - Marketing Analytics
📍
Washington, DC
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Mid-level
Who We Are
- Deep Go-to-Market® Expertise - We are a mix of go-to-market® strategists and execution-oriented practitioners who wrote the book on multi-channel commercial strategy
- Data-Centric Approach - We love measuring results and understand the value of the good and the bad to unearth real performance optimization
- Human and AI-Powered Insights - We drive commercial agility with a constant pulse on our client’s markets and consumers, through technology-generated and human-curated insights
- Agile Extension of The Client - We are an extension of our client’s team, so we flex priorities to be able respond to their changing needs and technology infrastructure
- In-Market Actionability - We go beyond strategy to ensure we deliver go-to-market solutions where, when, and how they can best be put into action
- 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
- Has 2+ years of experience in data-driven consulting, market research, and data science
- 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
- Has experience with integrating stimulus, response, and control data from a variety of sources including agencies, internal systems, and technology platforms
- Has experience in econometric techniques, including panel data, ridge regression, and multiple functional forms as well as machine learning techniques
- Has experience coding in R and/or Python, including data munging
- Has experience creating reproducible deliverables (Rmarkdown, notebooks, etc.)
- Experience with version control (git, github, etc.) and modern data storage (MapReduce, Spark)
- 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
- 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
- Industry-competitive compensation
- Performance-based salary and bonuses
- A wide array of healthcare options, including medical, dental and vision coverage
- 401(k) retirement plan with a company match
- Generous vacation and holiday time
- Yearly health and wellness credits
- Casual dress code
- Hybrid work model
- Company social events