Data Scientist, Modeling Team

New York, United States Full-time

Applecart deploys proprietary technology to run smarter advertising campaigns. We work with some of the nation’s most prominent corporations, non-profit organizations and political candidates to activate and communicate with key target audiences at a scale and level of efficacy previously thought impossible.

Our core offering is a proprietary social graph that leverages publicly-available data to map real-world relationships between individuals at national scale. Our roots are in politics, where we have tested and honed our methods at every level to give our clients a proven technological edge. We’re branching out beyond political campaigns to tackle new advertising challenges in which determining “who knows whom” provides decisive advantages for our clients.

Applecart’s political work has been featured by The Colbert Report, CNN, The Washington Post, The Associated Press, USA Today, The Huffington Post, among other prominent news outlets.

As a Data Scientist on our Modeling Team, you will be responsible for creation of powerful machine learning applications that leverage our social graph. Your work will directly impact our clients in the form of changing election outcomes, increasing political and non-profit fundraising yields and optimizing advertising spends and risk assessments. While direct client interaction will not be your core responsibility, you will have substantial insight into client engagements and clients will likely have insight into your daily work product.



  • Work with complex and varying social and demographic data sets. Apply non-routine graph analysis, machine learning and statistical techniques to synthesize behavioral predictions
  • Conduct end-to-end analysis that includes data gathering and requirements specification, processing, analysis, ongoing deliverables, and presentations
  • Build and prototype analysis pipelines iteratively to provide insights at scale. Develop comprehensive understanding of Applecart graph data structures and metrics, advocating for changes for achieving long term data science goals
  • Interact cross-functionally with a wide variety of people and teams. Work closely with political strategists, analysts, and data engineers to identify opportunities and assess improvements to Applecart products and deliverables
  • Select and deselect modeling priorities, insights and data based on ability to drive our desired outcomes


Basic Qualifications:

  • PhD or MS degree in Computer Science, Math, Statistics or other technical field
  • Relevant work experience in data analysis or related field. (e.g., as a statistician / data scientist / computational biologist / bioinformatician). Understanding of relevant statistical measures such as confidence intervals, significance of error measurements, etc
  • Required years of experience is commensurate with educational background (PhD: 2 years of experience, MS: 3.5 years of experience, BS: 5 years of experience)
  • Machine Learning Expertise: classic supervised modeling algorithms (e.g. RF, LR, SVM), hyperparameter tuning, feature selection, dimension reduction and evaluation criteria
  • Python Expertise: classes & inheritance, map & filter functions, list comprehension, generators, decorators, style guides, pylint, pytest, pdb
  • SQL/Hive Expertise: where clauses, joins, group bys, windowing functions, exploding
  • Prototyping Expertise: quick to build proofs-of-concept involving data munging, scripting and analysis
  • Proficient in manipulating data sets through standard statistical & ML packages (e.g. pandas, numpy, sklearn, spaCy)
  • Practical knowledge of version control and agile development
  • Ability to deliver on tight timelines and move quickly while maintaining attention to detail
  • Enjoy working in a fast-paced environment, highly collaborative and ambitious startup work environment


Preferred Qualifications:

  • Spark Expertise: SparkSQL, Caching, Checkpointing, Dataframes, RDDs
  • Proficiency in modern ML frameworks (e.g. SparkML, PyTorch, TensorFlow)
  • Demonstrated skills in selecting the right statistical tools given a data analysis problem
  • History of being a self-starter. Someone who challenges the status quo, identifies problems small and large, and will take proactive steps to propose and implement solutions for those problems
  • Familiarity with social network analysis, graph theory or machine learning on networks
  • Significant interest or experience in politics, advertising technology and/or behavior modeling is a big plus

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