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:

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.
Provide insights and suggestions on customer campaign optimization problems and product/platform optimization problems through statistical data analysis when needed.
Develop models that drive personalization for member interactions on owned and paid marketing channels.
Build prototypes and MVPs of services and applications that improve the effectiveness of campaigns, creatives, ad networks, and/or user segments.
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:

5+ years of experience manipulating data sets and building statistical models,
Master’s or Ph.D. in Statistics, Mathematics, Computer Science, or another quantitative field, and is familiar with cloud software/tools in GCP.
Knowledge and experience in statistical and data mining techniques: GLM/Regression, Random Forest, Boosting, Trees, text mining, social network analysis, etc.
Experience using statistical computer languages ( Python, SQL.) to manipulate data and draw insights from large data sets.
Knowledge of a variety of machine learning techniques (clustering, decision tree learning, artificial neural networks, etc.) and their real-world advantages/drawbacks.
Knowledge of advanced statistical techniques and concepts (regression, properties of distributions, statistical tests, and proper usage, etc.) and experience with applications.
Self-starter, and unafraid of ambiguous goals, worked, or have experience in a start-up like organization, where structure is continuously defined and valued.
Self-motivated and able to take initiative without needing a high level of supervision.
Experience visualizing/presenting data for stakeholders using: Business Objects, D3, ggplot, etc.
Media and advertising experience is a Plus!

On Offer:

Market-leading salary
Unlimited PTO
Full Health, Dental, and Vision
Commuter costs
Paid Meals