Analytics Lead: ML, GenAI & Client Solutions

dentsu

Georgia

Remote

USD 94,000 - 160,000

Full time

14 days+
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Benefits offered by this job

Medical, vision, dental insurance
Life insurance
Disability insurance
401k
Paid time off
Holidays and parental leave

Job summary

Dentsu seeks an experienced Analytics Manager to design, implement, and operationalize advanced analytics and ML models for client delivery. You will lead cross‑functional teams, build data pipelines in Python and SQL, and create actionable dashboards for leadership reviews.

The role emphasizes hands‑on execution, collaboration with onsite and offshore teams, and development of GenAI‑driven workflows within a retail/CPG context.

Qualifications

  • Requires 6–8 years of experience in advanced analytics, data science, ML, or related field with hands‑on production models.
  • Strong client-facing delivery and ability to translate requirements into analytical solutions.
  • Hands-on ownership of projects from data to deployment and governance.

Responsibilities

  • Translate business requirements into analytical objectives and measurable KPIs.
  • Build ML models, attribution and conversion analytics for multiple teams.
  • Design and implement LLM/GenAI‑based solutions and vector search workflows.
  • Develop data pipelines and dashboards using SQL, Python, Tableau.
  • Collaborate with onsite/offshore teams and mentor junior members.

Skills

SQL
Python
JavaScript
Google Apps Script
Tableau
GenAI/LLM

Education

Bachelor’s or Master’s degree in Data Science, Computer Science, Mathematics, Statistics, Business Analytics, or related field

Tools

BigQuery
Google Cloud Platform

Job description

Dentsu seeks an experienced Analytics Manager to design, implement, and operationalize advanced analytics and ML models for client delivery. You will lead cross‑functional teams, build data pipelines in Python and SQL, and create actionable dashboards for leadership reviews.

The role emphasizes hands‑on execution, collaboration with onsite and offshore teams, and development of GenAI‑driven workflows within a retail/CPG context.

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