Data Scientist
Applied AI
Posted on 10/10/2023
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
Computer Vision
Data Structures & Algorithms
Natural Language Processing (NLP)
AI & Machine Learning
  • 3+ years of experience manipulating data sets and building statistical models, education in a quantitative field or equivalent working experience
  • Ability to attend daily 9:15 a.m. Eastern Time daily stand-up meetings
  • Strong problem solving skills with an emphasis on statistical model development, including bayesian methods and causal inference
  • Excellent communication skills, and track record of successful collaboration with non-technical and technical stakeholders
  • 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, neural networks, etc.) and associated machine learning libraries such as TensorFlow, PyTorch, scikit-learn and scikit-image
  • Knowledge of advanced statistical techniques and concepts (regression, properties of distributions, statistical tests and proper usage, bayesian probabilities, etc.)
  • A drive to learn and master new technologies and techniques
  • Experience using Google services: BigQuery, Cloud Storage, Vertex AI, Dataproc
  • Create and enhance bayesian optimization algorithms and test setups for marketing campaigns
  • Mine and analyze data from a data warehouse to drive improvements in product development and understanding of why AI based marketing campaigns drove lift
  • Collaborate with other data scientists and ML engineers in the rollout of new models
  • Develop performance based score models using comprehensive sets of features
  • Assess the effectiveness and accuracy of new data sources and data gathering techniques
Desired Qualifications
  • Experience with computer vision and natural language processing
  • Experience with large, multi-modal datasets
  • Experience presenting insights from datasets to peers and leadership