Data Scientist

Applied AI

Posted on 10/10/2023

INACTIVE

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

↓ -4%

1 year growth

↓ -7%

2 year growth

↑ 14%

Locations

Toronto, ON, Canada

Experience Level

Entry

Junior

Mid

Senior

Expert

Desired Skills

Apache Spark

BigQuery

Computer Vision

Data Structures & Algorithms

Pytorch

SQL

Tensorflow

Natural Language Processing (NLP)

Python

CategoriesNew

AI & Machine Learning

Requirements

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

Responsibilities

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

Movable Ink scales content personalization for marketers through data-activated content generation and AI decisioning. The world’s most innovative brands rely on Movable Ink to maximize revenue, simplify workflow and boost marketing agility. Headquartered in New York City with close to 600 employees, Movable Ink serves its global client base with operations throughout North America, Central America, Europe, Australia, and Japan.

We are looking for a Data Scientist who will work with our Product and Engineering teams to create artificial intelligence based recommendations and insights extracted from modeling and analysis of very large sets including Movable Ink’s historical data. The ideal candidate has experience using large, multi-modal datasets and presenting insights from those datasets to peers and leadership. This data may include images, text and hypertext to find opportunities for computer vision, natural language processing. This candidate should have a passion for discovering solutions hidden in large data sets and working with stakeholders to create value for our clients. Our teams have 9:00 a.m. Eastern Time daily stand-ups and attendance is required.

Responsibilities:

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

Qualifications:

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

The base pay range for this position is $130,000-150,000 CAD/year, which can include additional on-target commission pay/bonus. The base pay offered may vary depending on job-related knowledge, skills, and experience. Stock options and other incentive pay may be provided as part of the compensation package, in addition to a full range of medical, financial, and/or other benefits, depending on the position ultimately offered.

Studies have shown that women, communities of color, and historically underrepresented people are less likely to apply to jobs unless they meet every single qualification. We are committed to building a diverse and inclusive culture where all Inkers can thrive. If you’re excited about the role but don’t meet all of the abovementioned qualifications, we encourage you to apply. Our differences bring a breadth of knowledge and perspectives that makes us collectively stronger.

We welcome and employ people regardless of race, color, gender identity or expression, religion, genetic information, parental or pregnancy status, national origin, sexual orientation, age, citizenship, marital status, ethnicity, family or marital status, physical and mental ability, political affiliation, disability, Veteran status, or other protected characteristics. We are proud to be an equal opportunity employer.