Lead Research Data Scientist (Decision Sciences IQ Team)

Epsilon; Boston (MA); On-site; USD 93,500 - 173,700; Full time

Benefits offered by this job

Flexible time off (FTO)

Paid sick time

401(k)

Tuition assistance

Job summary

Epsilon is looking for a Lead Research Scientist to join its Decision Sciences IQ team in Boston, Massachusetts. This role involves managing data science projects focused on machine learning solutions aimed at improving marketing performance using the PeopleCloud product suite.

The ideal candidate holds a Ph.D. and has strong expertise in Python and machine learning techniques. Benefits include flexible time off, health coverage, and a robust compensation package.

Qualifications

• A Ph.D. in Computer Science, Statistics, or a related field.
• 1+ years of experience managing research and development projects.
• 2+ years of relevant programming experience.

Responsibilities

• Manage projects end-to-end from research through development.
• Develop an understanding of DSIQ's modeling platform and datasets.
• Design and validate productized analytic pipelines at scale.

Skills

Machine Learning

Python

Spark MLLib

TensorFlow

Deep Neural Networks

Education

Ph.D. in Computer Science or related field

Tools

Databricks

Git

SQL

Job description

Overview

Epsilon’s Decision Sciences IQ team is looking for a Lead Research Scientist to join our team. The DSIQ team is responsible for integrating machine learning capabilities into our Epsilon PeopleCloud suite of marketing SaaS offerings, primarily focused on our Cleanroom, Customer Data Platform and Loyalty solutions.

You will work on a Data Science team focused on creating automated, repeatable segmentation, predictive modeling, and GenAI solutions that improve Epsilon’s clients' marketing performance by applying our PeopleCloud product suite. You have a strong machine learning background and are passionate about transforming data into productionized machine learning solutions. You are proficient in Python, Spark MLLib, TensorFlow, Keras, ML algorithms, deep neural networks, big data, and cloud computing. You must be dedicated, take initiative, demonstrate a strong desire to learn, and want to work in a collaborative, dynamic and innovative group.

Responsibilities

• Manage projects end-to-end from early-stage research through development in consultation with stakeholders.
• Develop an understanding of DSIQ’s modeling platform and Epsilon’s proprietary datasets.
• Use your data science and machine learning expertise to research and recommend the best approaches to solving our technology and business problems.
• Design, implement, and validate productized analytic pipelines at scale using a variety of tools (Databricks, Spark, Python, MLlib, Keras, TensorFlow, Git, Jira, Confluence, etc.).
• Work with engineering teams to integrate your solutions into Epsilon’s PeopleCloud SaaS solutions.
• Participate fully in our collaborative culture by sharing knowledge, debating techniques, and conducting research to advance the collective knowledge and skills of the team.

Qualifications

• A Ph.D. in Computer Science, Statistics, Linguistics, Electrical Engineering, Mathematics, Economics, Physics, Operations Research, or a related scientific discipline.
• Research experience and coursework in Machine Learning.
• 1+ years of experience managing research and development projects.
• 2+ years of relevant programming experience through academic research, internships, or industry experience.
• Strong programming skills in Python and experience working with research or production code.
• Experience with large data sets.
• Strong understanding of modeling and statistical techniques.
• Desire to work in a highly collaborative environment.
• Strong communication and interpersonal skills with an ability to communicate ideas and complex solutions effectively.

Additional, But Not Required Skills

• Experience with distributed and cloud computing platforms, such as Hadoop, Spark, AWS, Databricks, or related technologies.
• Experience with SQL and Python.
• Familiarity using large language models and agentic frameworks.
• Experience with Natural Language Processing, Information Retrieval, Mathematical Optimization, Control Theory, Time-Series Analysis, or Causal Inference.

Compensation

Compensation Range: USD $93,500.00 - USD $173,700.00 per year.

Benefits

• 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.

EEO Statement

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 [e-mail] to request an accommodation.

For San Francisco Bay and Los Angeles Areas, Epsilon will consider 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.