AdTechTalent
Data Science1 month agoHybrid

Epsilon

Lead Research Scientist (Decision Sciences IQ Team)

machine learningpythonsparktensorflowkerasdatabricksbig datacloud computingdata sciencedeep learningnatural language processingllmscausal inferencetime-series analysismathematical optimizationcontrol theorysqlhadoopaws

Key details

Salary

$94K – $174K

Employment type

Full-time

Seniority

Lead

Years experience

3-5

Location

Boston, United States

Full job description

Epsilon’s Decision Sciences IQ team seeks a Lead Research Scientist to integrate machine learning into PeopleCloud marketing SaaS products. Responsibilities include managing projects from research to development, designing scalable analytic pipelines, and collaborating with engineering teams. Requires a Ph.D. in a relevant scientific discipline, 1+ years managing R&D projects, 2+ years programming experience, strong Python skills, and expertise in machine learning and large datasets. Preferred skills include distributed/cloud computing (Hadoop, Spark, AWS), SQL, and familiarity with LLMs and advanced analytics techniques. Benefits include flexible time off, paid holidays, health coverage, 401(k), parental leave, tuition assistance, and more. Location: Boston, MA. Salary range: $93,500 - $173,700 annually.

What you'll do

  • 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
  • Research and recommend best approaches to solving technology and business problems using data science and machine learning expertise
  • Design, implement, and validate productized analytic pipelines at scale using tools like Databricks, Spark, Python, Mllib, Keras, TensorFlow, Git, Jira, Confluence
  • Work with Engineering teams to integrate solutions into Epsilon’s PeopleCloud SaaS solutions
  • Participate in collaborative culture by sharing knowledge, debating techniques, and conducting research to advance team skills

Requirements

  • Ph.D. in Computer Science, Statistics, Linguistics, Electrical Engineering, Mathematics, Economics, Physics, Operations Research, or 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

Tech stack

PythonSpark MLLibTensorFlowKerasML algorithmsDeep Neural Networksbig datacloud computingDatabricksGitJiraConfluenceHadoopAWSSQLLLMsagentic frameworksNatural Language ProcessingInformation RetrievalMathematical OptimizationControl TheoryTime-Series AnalysisCausal Inference

Benefits

Flexible time off (FTO)15 paid holidaysPaid sick timeParental/new child leaveChildcare and elder care assistanceAdoption assistanceComprehensive health coverage401(k)Tuition assistanceCommuter benefitsProfessional developmentEmployee recognitionCharitable donation matchingHealth coaching and counseling

Apply now

Ready to take the next step in your career? Click the button below to continue to the application process.

Continue to applicationBrowse more jobs

Similar jobs

More roles worth a look

Related opportunities based on specialty and working model so candidates can keep momentum.