Data Scientist

Job Overview

Lotame is a technology company that makes data smarter, faster, and easier to use for digital marketers. This role focuses on data science projects to support product, engineering, and customer service teams.

• 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.
• Communicate clearly with team members about progress, blockers, and availability.

• 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.
• 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, e.g. Hadoop, Map Reduce, 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.

Base Salary: $73,500.00 - $. Compensation within this range will be dependent upon skills, experience, qualifications, location and applicable laws. The salary range is subject to change and may be modified at any time.

• Flexible time off (FTO), 15 paid holidays.
• Paid sick time.
• Parental/new child leave, childcare & elder care assistance, adoption assistance.
• Comprehensive health coverage, 401(k), tuition assistance, commuter benefits, professional development, employee recognition, charitable donation matching, health coaching and counseling.

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  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 . Applicants with criminal histories are welcome to apply.

07/15/2026