Full-Time

Data Scientist

Posted on 4/18/2024

Cognitiv

Cognitiv

51-200 employees

AI-powered deep learning advertising platform

AI & Machine Learning

Mid

Bellevue, WA, USA

Required Skills
Python
Jupyter
Data Science
Data Structures & Algorithms
SQL
NumPy
Requirements
  • Degree in Computer Science, Statistics, or related field
  • Industry-level experience with SQL, Python, and the Python Data Science ecosystem (e.g. NumPy, SciPy, Jupyter, etc)
  • Proficient in a variety of machine learning methodologies (e.g. supervised learning, regularization, Principal Component Analysis, etc.), coupled with practical experience in applying these techniques to model complex problems
  • Solid understanding of deep learning architectures, frameworks, and related libraries
  • Familiarity with distributed computing, cloud platforms, and big data technologies
  • Proficiency in conducting A/B testing and a strong analytical skill set
  • Strong written and verbal communication skills, with an emphasis on collaboration, organizational ability
Responsibilities
  • Prepare models for campaign bidding
  • Contribute to the full AdTech modeling lifecycle, encompassing problem framing, dataset construction, defining objective functions and architectures, model training, and results visualization and analysis
  • Provide actionable insight into the performance of production models, bidding algorithms, and control systems through analysis and visualization
  • Run A/B tests and design experiments to assess the impact of model innovations
  • Contribute to campaign modeling playbook by synthesizing repeatable learnings on context-specific influences on model performance
  • Contribute to roadmap for ML operational tools for dataset generation, model training, and monitoring. Scope, estimate, and prioritize projects and tasks

Cognitiv offers a deep learning advertising platform that leverages AI capabilities to predict consumer behavior and enhance marketing performance, enabling advertisers to connect with their target audience in more precise, relevant, and impactful moments at scale. The company's NeuralMind™ platform automates the training of deep learning models for personalized, scalable outcomes.

Company Stage

Pre-seed

Total Funding

$5M

Headquarters

New York, New York

Founded

2015

Growth & Insights
Headcount

6 month growth

23%

1 year growth

41%

2 year growth

87%
INACTIVE