Manager, Data Science

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

The purpose of this role is to execute the approach and strategies outlined by senior leadership, lead and manage day to day work, and manage the day-to-day communication with clients.

Job Description:
Job Title: Analytics Manager
About the Role

We are looking for an experienced, hands‑on Analytics Manager to build and maintain statistical models, data pipelines, and agentic decision‑support solutions. This is a technical, execution‑focused role involving direct coding and modeling. Success will require close collaboration with onsite and offshore team members.

Business Translation & Client Engagement
  • Work directly with client stakeholders to define business requirements and translate them into simplified, actionable analytical solutions.
  • Collaborate with cross-functional and offshore development teams to translate requirements into technical implementation, ensuring clear handoff and shared understanding across the onsite‑offshore partnership.
  • Translate ad hoc stakeholder requests into structured requirements, clarify scope through direct follow‑up, and deliver iterative updates until sign‑off.
  • Establish key success metrics and translate business priorities into concrete analytical objectives.
Advanced ML & Generative AI
  • Build and maintain sales attribution and conversion models across multiple business teams, including logic for measuring overlap and channel contribution.
  • Design and implement LLM‑based solutions, including vector search/embedding‑based retrieval and agent‑style automation.
  • Support and harden AI‑driven workflow agents in production, including automated event logging and recovery to ensure reliability.
  • Conduct exploratory data analysis and statistically compare model alternatives under documented core assumptions.
Technical Execution (SQL/Python/BI)
  • Write efficient SQL (BigQuery) and build data transformation workflows in Python.
  • Validate and reconcile pricing and transaction‑level data against source systems to identify and resolve discrepancies.
  • Build and maintain rollup dashboards and reporting views that consolidate performance data for leadership review cycles.
  • Deliver descriptive analytics and diagnostic dashboards using Tableau and lightweight web applications (Google Apps Script, JavaScript).
  • Maintain data pipelines and cloud architecture (Google Cloud Platform / BigQuery) for streamlined ad‑hoc analysis.
  • Conduct code reviews and audit processes to maintain strict reporting accuracy.
Retail/CPG Domain Expertise
  • Perform product and transaction‑level analysis supporting material to inventory matching.
  • Analyze conversion and performance metrics including project- or category‑level breakdowns.
  • Apply familiarity with core commercial metrics (conversion rate, pricing and inventory accuracy, SLA performance) to domain‑specific analytical problems.
Leadership & Mentorship
  • Work in a self‑driven and collaborative manner within a team environment.
  • Mentor junior team members and contribute to knowledge‑sharing initiatives.
  • Support automation and reporting consistency across a distributed team by maintaining shared documentation and QA processes.
What We’re Looking For
Qualifications
  • Bachelor’s or Master’s degree in Data Science, Computer Science, Mathematics, Statistics, Business Analytics, or a related field.
  • 6‑8 years of experience in advanced analytics, data science, machine learning, or a related field, with demonstrated hands‑on ownership of production models and client‑facing delivery.
Technical Skills:
  • Languages & Scripting: Expert proficiency in SQL and Python; working proficiency in JavaScript and Google Apps Script for lightweight application/reporting tools.
  • Analytics & Data Warehousing: Advanced experience with Google Cloud Infrastructure (BigQuery), data architecture design, and data warehousing.
  • BI & Visualization: Tableau; experience building custom dashboards/web apps using Google Apps Script and JavaScript.
  • Methodologies: Statistical modeling, significance testing, exploratory data analysis, and predictive frameworks.
  • AI/GenAI: Familiarity with LLM‑based frameworks, vector databases, and agentic AI development practices.
Soft Skills & Domain Knowledge:
  • Ability to translate stakeholder input into clear analytical requirements.
  • Ability to explain complex quantitative concepts to non‑technical business audiences.
  • Comfortable working across onsite‑offshore team structures.

At dentsu, we believe great work happens when we’re connected. Our way of working combines flexibility with in‑person collaboration to spark ideas and strengthen our teams. Employees who live within a commutable distance of one of our hub offices, currently located in Chicago, metro Detroit, Los Angeles, and New York City, are required and expected to work from the office three days per week (two days per week for employees based in Los Angeles). Dentsu may designate other Hub offices at any time. Those who live outside a commutable range may be designated as remote, depending on the role and business needs. Regardless of your work location, we expect our employees to be flexible to meet the needs of our Company and clients, which may include attendance in an office.

Theannualsalary range for this position is $94,000-$160,000.Placement within the salary rangeis based on a variety of factors,including relevant experience, knowledge, skills, and other factorspermittedby law.

Benefits available with this position include:

  • Medical, vision, and dental insurance,
  • Life insurance,
  • Short-term and long-term disability insurance,
  • 401k,
  • Flexiblepaidtimeoff,
  • At least 15paid holidays per year,
  • Paid sickand safeleave, and
  • Paid parentalleave.

Dentsu alsocomplieswithapplicable state and local lawsregardingemployee leave benefits, including, but not limited to providing time offpursuant tothe Colorado Healthy Families and Workplaces Act,in accordance withits plans and policies.Forfurther detailsregardingDentsu benefits, please visit www.dentsubenefitsplus.com.

#LI-MS3 #LI-Remote

Location:

Canada - International – Remote

Brand:

Ugam

Time Type:

Full time

Contract Type:

Permanent

Dentsu is committed to providing equal employment opportunities to all applicants and employees. We do this without regard to race, color, national origin, sex , sexual orientation, gender identity, age, pregnancy, childbirth or related medical conditions, ancestry, physical or mental disability, marital status, political affiliation, religious practices and observances, citizenship status, genetic information, veteran status, or any other basis protected under applicable federal, state, or local law.

Dentsu is committed to providing reasonable accommodation to, among others, individuals with disabilities and disabled veterans. If you need an accommodation because of a disability to search and apply for a career opportunity with us, please send an e‑mail to ApplicantAccommodations@dentsu.com by clicking on the link to let usknow the nature of your accommodation request and your contact information. We are here to support you.

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