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Location
New York City
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Sector:
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Job type:
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Contact:
Amelia Jones
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Contact email:
amelia@intelletec.com
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Consultant:
Amelia Jones
Marketing Scientist / Data Scientist
AdTech Start-up | NYC
Intelletec has partnered with one of the most exciting and unique AdTech companies on the market right now. Their end-to-end platform leverages AI, Cryptography, and Blockchain to deliver evidence-based business outcomes. They are looking for a Data Scientist to join the team to work on complex and interesting problems.
The company has developed a unified video ad platform with a real-time AI. This platform allows brands and publishers to measure customer intent data across TV, mobile, and web, whilst integrating secure blockchain technology.
They currently have a team of 50+ people, with big plans to grow significantly throughout the rest of 2020. Initially funded by a $25million raise, they are very profitable with a low burn rate.
Responsibilities:
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Build and deploy models that enable marketers to allocate budgets to various channels in order to drive cross-channel optimization by product and by business objectives.
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Provide insights and suggestions on customer campaign optimization problems and product/platform optimization problems through statistical data analysis when needed.
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Develop models that drive personalization for member interactions on owned and paid marketing channels.
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Build prototypes and MVPs of services and applications that improve the effectiveness of campaigns, creatives, ad networks, and/or user segments.
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The key goal for this person will be to apply modeling techniques relevant to media mix modeling (MMM) optimization and multi-touch attribution (MTA) to our marketing efforts to connect the impact of marketing activities on business outcomes.
Skills:
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5+ years of experience manipulating data sets and building statistical models,
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Master’s or Ph.D. in Statistics, Mathematics, Computer Science, or another quantitative field, and is familiar with cloud software/tools in GCP.
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Knowledge and experience in statistical and data mining techniques: GLM/Regression, Random Forest, Boosting, Trees, text mining, social network analysis, etc.
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Experience using statistical computer languages ( Python, SQL.) to manipulate data and draw insights from large data sets.
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Knowledge of a variety of machine learning techniques (clustering, decision tree learning, artificial neural networks, etc.) and their real-world advantages/drawbacks.
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Knowledge of advanced statistical techniques and concepts (regression, properties of distributions, statistical tests, and proper usage, etc.) and experience with applications.
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Self-starter, and unafraid of ambiguous goals, worked, or have experience in a start-up like organization, where structure is continuously defined and valued.
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Self-motivated and able to take initiative without needing a high level of supervision.
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Experience visualizing/presenting data for stakeholders using: Business Objects, D3, ggplot, etc.
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Media and advertising experience is a Plus!
On Offer:
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Market-leading salary
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Unlimited PTO
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Full Health, Dental, and Vision
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Commuter costs
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Paid Meals