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Assist with and execute data science projects, collaborating with product, engineering, and customer service teams to identify requirements, perform analysis, and present solutions.
Design, develop, test, and refine statistical algorithms for Lotame's business.
Apply data modeling, data mining, and optimization knowledge to large-scale datasets to meet business needs.
Develop and productize scalable predictive models for performance optimization, behavioral profiling, audience segmentation, and identity resolution.
Collaborate with the Data Science team to provide statistical algorithm development and support for products like Lotame’s Optimizer and Cross Device.
Communicate clearly with team members regarding progress, blockers, and availability in a hybrid work environment.

Equivalent knowledge of statistical modeling, machine learning.
Strong fundamental understanding of statistical modeling, machine learning, big data analytics, and algorithmic analysis.
Ability to select and articulate appropriate algorithmic solutions for problems.
Comprehension of algorithms including Bayesian Data Analysis, Classification, Clustering, Regression, Collaborative Filtering, and Graph Algorithms.
Experience with or theoretical understanding of distributed computing frameworks (e.g., Hadoop, MapReduce, MPI).
Experience with Spark, Amazon EMR, and/or Hive is ideal.
Beneficial to have experience working with datasets in a cloud environment (AWS, Azure, Google), including tools like EMR, S3, and Athena.

Bachelor’s Degree in Statistics, Mathematics, Engineering or a closely related field
Master’s Degree preferred

Lotame is a technology company that makes data smarter, faster, and easier to use for digital marketers.
Its end-to-end data collaboration platform, Spherical, empowers marketers, agencies, and media owners to onboard, access, analyze, and activate data for consumer understanding and engagement.
Lotame's commitment to industry interoperability, connectivity, and privacy drives successful business outcomes.
Headquartered in the United States, Lotame serves global clients across North America, Latin America, Europe, Middle East, Africa, and Asia Pacific.
Lotame is part of Epsilon, a global data, technology, and services company powering the marketing and advertising ecosystem.
Epsilon provides marketers with data, technology, and services to engage consumers with a unified view, vision, and voice.
Epsilon's portfolio of digital media, messaging, and loyalty solutions bridges marketing and advertising technology.
The company processes over 400 billion consumer actions daily using advanced AI and holds patents in proprietary technology, including real-time modeling languages and consumer privacy advancements.
Epsilon is recognized as industry-leading by Forrester, Adweek, and the MRC, with over 9,000 employees globally.
Company pillars include People centricity, Collaboration, Growth, Innovation, and Flexibility.
Company values are Act with integrity, Work together to win together, Innovate with purpose, Respect all voices, and Empower with accountability.

Epsilon is an Equal Opportunity Employer.
Epsilon's policy prohibits discrimination against applicants or employees based on actual or perceived race, age, sex or gender (including pregnancy), marital status, national origin, ancestry, citizenship status, mental or physical disability, religion, creed, color, sexual orientation, gender identity or expression (including transgender status), veteran status, genetic information, or any other characteristic protected by applicable law.
Epsilon prohibits harassment of applicants and employees based on these protected categories.
Epsilon provides accommodations to applicants needing assistance with the application process; contact LeaveofAbsence@epsilon.com for requests.
For San Francisco Bay and Los Angeles Areas, Epsilon considers qualified applicants with criminal histories consistent with local Fair Chance Ordinances.

Data Scientist at Publicis Groupe Holdings B.V

Data Scientist