Lead Data Scientist
Personalization Analytics
Confirmed live in the last 24 hours
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

$97.3M

Founded

2010

Headquarters

New York, New York

Growth & Insights
Headcount

6 month growth

0%

1 year growth

-3%

2 year growth

15%
Locations
Remote in USA
Experience Level
Entry
Junior
Mid
Senior
Expert
Desired Skills
Python
SQL
Looker
Data Analysis
Excel/Numbers/Sheets
CategoriesNew
Business & Strategy
AI & Machine Learning
Data & Analytics
Requirements
  • 5+ years of industry experience owning reporting and analytics required to operate a machine-learning system
  • Solid foundations in statistics and online controlled experiments (a/b testing), including advanced measurement techniques such as Causal Inference or model-based variance reduction (e.g. ANCOVA, CUPED)
  • High comfort level with SQL, reporting tools such as Looker/Google Sheets, and some programming skill (e.g. in Python) to be able to reason about logic in code
  • Intuitive understanding of machine learning models and systems
  • Ability to collaborate and drive projects that involve multiple teams
Responsibilities
  • Run a/b tests for our DaVinci personalization product and own the reporting for their business outcomes
  • Determine and conduct deep dives as necessary to understand the behavior of our recommender models and to identify opportunities for improving our system
  • Help customer-facing teams and our clients resolve issues that come up during tests and answer questions about how to optimize setups
  • Help determine BI tooling needs to make testing, reporting, and analytics lower lift, and partner with engineers and client-facing teams to make improvements
  • Help design documentation and other materials for educating adjacent teams on our recommender system behavior and self-serve insights generation
Desired Qualifications
  • A desire to always be learning and contributing to a collaborative environment
  • Enjoy helping others find pragmatic solutions to the daily challenges they face and have the ability to abstract from these challenges and identify process, training, and technical improvements we can make