Data Scientist

Responsibilities

• Aid in and execute data science projects, collaborating with product, engineering, and/or customer service teams to define requirements, conduct analysis, and present findings and/or solutions to stakeholders.
• Design, develop, test, and refine statistical algorithms that power Lotame’s business operations.
• Apply knowledge and training in data modeling, data mining, and optimization to large-scale datasets, developing solutions that meet Lotame’s business needs.
• Develop and help productize scalable predictive models in areas such as 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 various products, including Lotame’s Optimizer and Cross Device.
• Communicate clearly with team members about progress, blockers, and availability, as part of a hybrid working community.

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, with some experience and theoretical knowledge.
• Comprehension of algorithms in Bayesian Data Analysis, Classification, Clustering, Regression, Collaborative Filtering, and Graph Algorithms.
• Experience with and/or theoretical understanding of distributed computing frameworks like Hadoop, MapReduce, MPI, ideally with some experience with Spark, Amazon EMR, and/or Hive.
• Experience working with datasets in a cloud environment (AWS, Azure, Google) while not required, will be beneficial.

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 bridges 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

Benefits

• 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

Career Opportunities

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.

Compensation Range

USD $73,500.00 - USD $136,500.00/Annually. This is the pay range the Company believes it will pay for this position at the time of this posting. Consistent with applicable law, compensation will be determined based on the skills, qualifications, and experience of the applicant along with the requirements of the position, and the Company reserves the right to modify this pay range at any time.

Application Instructions

The application deadline for this job posting is August 19, 2026.