Marketing Scientist / Data Scientist

  • Location

    New York City

  • Sector:

    Data Science

  • Job type:


  • Contact:

    Amelia Jones

  • Contact email:


  • 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. 


  • 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.


  • 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