Principal Data Scientist
Applied AI
Posted on 9/22/2023
Movable Ink

501-1,000 employees

Enables scalable, omni-channel marketing personalization through data and
Company Overview
Movable Ink stands out as a leader in the SaaS industry, providing marketers with robust tools for omni-channel personalization, data activation, and AI decisioning, which have been trusted by the world's top brands to boost their marketing agility and revenue. The company's commitment to employee satisfaction is evident in its repeated recognition as one of the best workplaces by Inc. Magazine and Built In NYC. Furthermore, Movable Ink's research collaboration with Lewis Research demonstrates its dedication to understanding and meeting consumer expectations, thereby driving its industry leadership.
AI & Machine Learning

Company Stage

Series D

Total Funding





New York, New York

Growth & Insights

6 month growth


1 year growth


2 year growth

Toronto, ON, Canada
Experience Level
Desired Skills
Apache Spark
Data Structures & Algorithms
AI & Machine Learning
Data & Analytics
  • 7+ years of experience manipulating data sets and building statistical models, education in a quantitative field or equivalent working experience
  • Strong problem solving skills with an emphasis on statistical model development, including bayesian methods and causal inference
  • Experience using statistical programming languages (Python, Spark, 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, bayesian probabilities, etc.) and experience with popular machine learning libraries such as TensorFlow, PyTorch, scikit-learn and scikit-image
  • A drive to learn and master new technologies and techniques
  • Experience using Google services: BigQuery, Cloud Storage, Vertex AI, Dataproc
  • Lead the hands on technical management of production Machine Learning models for propensity scores, creative attribute rankings and recommendations
  • Develop new ideas with the AI team and develop the most impactful models that deliver value to customers
  • Deliver strategy recommendations to internal stakeholders for maximizing customer success in using AI
  • Development of performance based score models using comprehensive set of features
  • Create and enhance bayesian optimization algorithms and test setups for marketing campaigns
  • Collaboration with various stakeholders throughout the organization to identify opportunities for leveraging domain knowledge and data to create new features into the Artificial Intelligence based products
  • Mine and analyze data from a data warehouse to drive improvements in product development and understanding of why AI based marketing campaigns drove lift
  • Assess the effectiveness and accuracy of new data sources and data gathering techniques
  • Develop processes and tools to monitor and analyze model performance and data accuracy
  • Partner with key stakeholders on the ML Engineering team in the rollout of new models