Company Description
Lotame is a technology company that makes data smarter, faster, and easier to use for digital marketers. Our end-to-end data collaboration platform Spherical empowers thousands of marketers, agencies, and media owners to onboard, access, analyze, and activate the data they need to understand and engage consumers. Our proven commitment to industry interoperability, connectivity, and privacy help drive successful business outcomes for companies on their terms. Lotame is headquartered in the United States and serves global clients in North America, Latin America, Europe, Middle East, Africa, and Asia Pacific.
Responsibilities
Assist with and execute data science projects, working with product, engineering and/or customer service teams to identify requirements, perform analysis, and present results and/or solutions to stakeholders
Design, develop, test, and refine the statistical algorithms used to power Lotame's business
Apply knowledge and training in data modeling, data mining and optimization to very large scale data sets, producing solutions to meet Lotame's business needs;
Develop and help to productize scalable predictive models in the areas of performance optimization, behavioral profiling, audience segmentation, and identity resolution
Work alongside other members of the Lotame Data Science team to provide statistical algorithm development and support to a variety of products, including Lotame's Optimizer and Cross Device
As a part of a hybrid working community, communicate clearly with team members about progress, blockers, and availability.
Qualifications
Bachelor's Degree in Statistics, Mathematics, Engineering or a closely related field; Master's Degree preferred; equivalent knowledge of statistical modeling, machine learning, etc accepted
Strong fundamental understanding of statistical modeling, machine learning, big data analytics, and algorithmic analysis. Ability to select approaches and algorithms to problems and articulate why those specific solutions are appropriate. This requires some experience and theoretical knowledge
Comprehension of algorithms in the following areas: Bayesian Data Analysis, Classification, Clustering, Regression, Collaborative Filtering, and Graph Algorithms
Experience with and/or theoretical understanding of distributed computing frameworks, e.g. Hadoop, MapReduce, MPI. Ideally, some experience with Spark, Amazon EMR, and/or Hive
Experience working with datasets in a cloud (AWS, Azure, Google) environment, including tools such as EMR, S3, and Athena, while not required, will be beneficial
Base Salary: $73,500.00 - $136,500.00
Actual compensation within the range will be dependent upon, but not limited to the individual's skills, experience, qualifications, location and application employment laws. The salary pay range is subject to change and may be modified at any time.
The application deadline for this job posting is 06/05/2026.
Additional Information
When You Join Us, We'll Create Something EPIC Together
Lotame is a part of Epsilon, a global data, technology and services company that powers the marketing and advertising ecosystem. For decades, we've provided marketers from the world's leading brands the data, technology and services they need to engage consumers with 1 View, 1 Vision and 1 Voice. 1 View of their universe of potential buyers. 1 Vision for engaging each individual. And 1 Voice to harmonize engagement across paid, owned and earned channels.
Epsilon's comprehensive portfolio of capabilities across our suite of digital media, messaging and loyalty solutions bridge the divide between marketing and advertising technology. We process 400+ billion consumer actions each day using advanced AI and hold many patents of proprietary technology, including real-time modeling languages and consumer privacy advancements. Thanks to the work of every employee, Epsilon has been consistently recognized as industry-leading by Forrester, Adweek and the MRC. Epsilon is a global company with more than 9,000 employees around the world.
Our pillars aren't just words. They're how we show up every day.
People centricity: We focus on employee well-being in an environment where colleagues truly care about each other.
Collaboration: We work together, support one another, and collectively achieve goals.
Growth: There are endless opportunities for growth through learning, development and career advancement.
Innovation: We drive progress through cutting-edge solutions and forward-thinking approaches.
Flexibility: We've created a balance between work and personal life, and we encourage adaptability to solve problems creatively.
Our values guide us to create value for our clients, our people and consumers.
Act with integrity
Work together to win together
Innovate with purpose
Respect all voices
Empower with accountability
These pillars and values are our foundation-shaping our culture, guiding our decisions, and uniting us in common purpose.
Because You Matter
As an Epsilon employee, you deserve perks and benefits that put you, your family and your finances first. Our benefits encompass a wide range of offerings, including but not limited to the following:
Time to Recharge: Flexible time off (FTO), 15 paid holidays
Time to Recover: Paid sick time
Family Well-Being: Parental/new child leave, childcare & elder care assistance, adoption assistance
Extra Perks: Comprehensive health coverage, 401(k), tuition assistance, commuter benefits, professional development, employee recognition, charitable donation matching, health coaching and counseling
Epsilon benefits are subject to eligibility requirements and other terms.
Epsilon is an Equal Opportunity Employer. Epsilon's policy is not to discriminate against any applicant or employee 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 federal, state or local law. Epsilon also prohibits harassment of applicants and employees based on any of these protected categories. Epsilon will provide accommodations to applicants needing accommodations to complete the application process. Please reach out to LeaveofAbsence@epsilon.com to request an accommodation.
For San Francisco Bay and Los Angeles Areas: Epsilon will consider for employment qualified applicants with criminal histories in a manner consistent with the City of Los Angeles' Fair Chance Initiative for Hiring Ordinance and San Francisco Police Code Sections 4901-4919, commonly referred to as the San Francisco Fair Chance Ordinance. Applicants with criminal histories are welcome to apply.
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