
Data Scientist - Marketing Analytics
MarketbridgeWashington, DC
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Job Description
Who We AreMarketbridge is a growth consulting and marketing firm dedicated to helping modern leaders accelerate performance with no signal loss from strategy through execution. We combine management consultancy with marketing agency expertise, all backed by marketing science, creative problem-solving, and technological know-how. Our integrated approach brings together teams, technology, data, strategies, processes, and plans to fuel sustainable revenue growth and build deeper, more resonant customer relationships. We partner with some of the world’s largest and most ambitious brands, providing innovative solutions that drive commercial agility and long-term success.Who We’re Looking ForMarketbridge is looking for a Data Scientist to supportprogram strategy and execution to help clients improve their marketing and sales outcomes. The Data Scientist will be part of a project team and play a key role in helping our clients measure marketing’s effectiveness and optimize marketing mix to drive results. You will quickly work with clients to solve some of their most pressing problems, leveraging a variety of tools and methods including quantitative analysis, model development, and market research.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
- 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
- Can integrate 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
- 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)
- 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 and performance-based bonuses
- Generous paid time off including vacation, holidays, sick leave, maternity/paternity leave, and Friday Summer hours
- A wide array of healthcare options including medical, dental, and vision coverage
- 401(k) savings plan with company match
- Marketbridge-led Social Committee
- Referral bonus program
- Mentor program for new hires
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