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Confirmed on the employer's own hiring board on Nov 15, 2026. First seen by Alion on Nov 4, 2026. dentsu scores B on the Alion truth index.

Overview
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Impact
Profile match
Dentsu is a Japanese advertising and marketing group founded in 1901 that grew into the dominant agency holding company in Japan before expanding worldwide through the acquisition of Aegis in 2013. It plans and buys media, produces creative work, and runs customer experience, commerce and data practices for brands through networks including Carat, iProspect, Dentsu Creative and Merkle. Headquartered in Tokyo and listed on the Tokyo Stock Exchange, it employs tens of thousands of people across more than one hundred markets.

Job Description:

Temporary role, W2 status

Start date: ASAP

~4-5 month engagement

Candidates must be located in the U.S.

ROLE SUMMARY

The Manager, Data Modeling & Data Science will drive strategic business impact through advanced analytics and predictive modeling, serving as a trusted advisor to clients across multiple vertical portfolios. This role combines hands-on technical excellence with strategy -designing sophisticated analytical solutions, owning quality assurance across all deliverables, and mentoring analysts. The Manager will act as the client's analytical partner, translating complex marketing challenges into data-driven strategies that drive measurable business outcomes.

  • Ensure timely delivery of data, analytics, and models to support the client’s data licenses, database marketing initiatives, and campaigns;
  • Developing and/or editing R code, Python code for model builds, scoring and delivery.
  • Provide direction and manage the work processes and output of database marketing analysts;
  • Participate in creating relevant solutions for clients by evaluating client needs for quantitative analysis and in developing methods or processes for implementation;
  • Leverage knowledge, and hands on work, of data and statistical modeling techniques to provide suggestions or guidance to teams using tools like Snowflake/SQL/Python/R
  • Provide hands on building and optimization of clients’ multi-channel campaigns through model building, campaign scoring, and production using tools like Snowflake/SQL/Python/R.
  • Perform 3rd party data vendor evaluations for the data product leveraging qualitative and quantitative methods.
  • Manage project tasks, timelines and deliverables inclusive of model builds, deployment, campaign production activities, like scoring.
  • Act as an advisor in the following techniques: Predictive statistical models, Customer profiling, Segmentation Analysis, Campaign Analysis & Scoring, Data Analysis and Mining,
  • Co-presenting modeling findings and campaign results to clients,
  • Work independently with minimum supervision, and provide guidance to junior team members;
  • undefined

Experience:

  • Possess core database marketing knowledge such as understanding of company and client data, relational database concepts, and direct marketing concepts;
  • 5+ years in quantitative marketing/analytics/data science
  • Advanced Experience with Snowflake, SQL, R, Python, AI tools (Claude) logistic regression, linear regression, XGboost machine learning, clustering;
  • Advanced experience using 3rd party data in combination with 1st party data for modeling, scoring, and campaign analytics;
  • Ability to explain/present complicated/advanced analytical methodology and results to non-technical audiences;
  • Ability to execute advanced analytic tasks (including but not limited to developing/editing modeling code, modeling, segmentation, DOE, forecasting, etc.) and create meaningful analytical outputs;
  • Ability to translate analysis insights into actionable recommendations and strategies for marketers; Experience with applying statistical techniques such as regression, cluster analysis, factor analysis, to solve business problems;
  • Possess core analytical competencies such as ability to formulate an analytical problem, QC data and results, summarize key findings/insights, make actionable recommendations, and develop new and innovative analytical solutions to solve challenging business problems;
  • Requires a Bachelor’s degree or foreign equivalent in Statistics, Math, Economics or related scientific/quantitative field and at least five (5+) years of experience as a Data Analyst or related occupation. Masters+ preferred.

The hourly pay range for this position is $65.79 - $87.77. The hourly pay rate for the successful candidate is based on a variety of factors, including relevant experience, knowledge, skills, and other factors permitted by law. Temporary employees are eligible for paid holidays in accordance with dentsu policy, as well as safe and sick time. This position is not eligible for any other benefits or other compensation.

To begin the application process, please click on the “Apply” button at the top of this job posting. Applications will be reviewed on an ongoing basis, and qualified candidates will be contacted for next steps.

Location:

USA - Remote - Colorado

Brand:

Merkle

Time Type:

Full time

Contract Type:

Temporary

Dentsuis committed to providingequal 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.

Dentsuis 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 [email protected] by clicking on the link to let us knowthe nature of your accommodation request and your contact information. We are here to support you.

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