Job Description:
- Perform response analysis, ROI modeling, and attribution to measure campaign effectiveness and contribution to marketing mix
- Develop customer segmentation models to identify optimal audience segments for targeted mail campaigns
- Conduct A/B testing and multivariate analysis to optimize creative, messaging, offers, and targeting strategies
- Design, build, and maintain predictive models for direct mail campaign response rates, conversion, and customer lifetime value
- Develop, implement, and maintain statistical and machine learning models using Python and SQL (Google BigQuery preferred)
- Build simulation and forecasting applications to model campaign performance scenarios and optimize mailing lists
- Create dashboards and automated reporting to track campaign metrics, KPIs, and monitor model health
- Write efficient SQL queries and build data transformation pipelines to prepare customer and campaign data for analysis
- Ensure data quality, harmonization, and compliance across analytical projects per financial services regulations
- Design and maintain data models that support real-time and historical campaign analysis
- Stay current on industry trends in marketing analytics, machine learning, and AI
- Mentor junior analysts and contribute to knowledge sharing initiatives
- Bachelor’s or Master’s degree in Data Science, Computer Science, Mathematics, Statistics, Business Analytics, or a related field.
- 4–6 years of experience in advanced analytics, data science, machine learning, or a related field.
- Effective verbal and written communication skills with client-facing experience.
- Proficiency in SQL (Google BigQuery preferred) and Python.
- Experience with data visualization tools such as Tableau.
- Familiarity with Financial Services industry and experience working with product, transaction, and customer-level data.
- Strong data structuring, and analytical problem-solving skills with an inquisitive mindset.
- Self-driven, collaborative, and adaptable in a fast-paced environment.
At dentsu, we believe great work happens when we’re connected. Our hybrid way of working combines remote flexibility with regular in-person collaboration to spark ideas and strengthen our teams. Many of our employees who live within commuting distance (90 minutes) from one of our Headquarter or Hub Offices (New York, Chicago, Detroit, Los Angeles) are required to work in the office 2-3 days per week including one Team Day. The minimum number of days may vary by office and role. Dentsu may designate other HQ or Hub offices at any time. Those who do not live near an office may be designated as a remote employee, depending on the role and business needs. Regardless of your work location, we expect you to be flexible to meet the needs of our Company and clients, which may include attendance in an office from time to time.
The annual salary range for this position is $78,000-$112,000. Placement within the salary range is based on a variety of factors, including relevant experience, knowledge, skills, and other factors permitted by law.
Benefits available with this position include:
Medical, vision, and dental insurance,
Life insurance,
Short-term and long-term disability insurance,
401k,
Flexible paid time off,
At least 15 paid holidays per year,
Paid sick and safe leave, and
Paid parental leave.
Location:
USA - Remote - MarylandBrand:
MerkleTime Type:
Full timeContract Type:
PermanentDentsu 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 [email protected] by clicking on the link to let us know the nature of your accommodation request and your contact information. We are here to support you.
Skills Required
- Bachelor's or Master's degree in Data Science, Computer Science, Mathematics, Statistics, Business Analytics, or a related field
- 4-6 years of experience in advanced analytics, data science, machine learning, or a related field
- Effective verbal and written communication skills with client-facing experience
- Proficiency in SQL, preferably Google BigQuery, and Python
- Experience with data visualization tools such as Tableau
- Familiarity with the Financial Services industry and product, transaction, and customer-level data
- Strong data structuring and analytical problem-solving skills
- Self-driven, collaborative, and adaptable in a fast-paced environment
dentsu Compensation & Benefits Highlights
The following summarizes recurring compensation and benefits themes identified from responses generated by popular LLMs to common candidate questions about dentsu and has not been reviewed or approved by dentsu.
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Parental & Family Support — Paid parental leave at full pay and caregiver supports (including backup care) are emphasized as standout elements. Feedback suggests family-oriented benefits are a strong part of the package.
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Leave & Time Off Breadth — Flexible or unlimited PTO, extensive paid holidays, and a year-end office closure are established components. Feedback suggests time-off policies are generous and add meaningful flexibility.
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Retirement Support — A large, established 401(k) plan with employer matching is clearly documented. Feedback suggests retirement benefits feel competitive and straightforward.
dentsu Insights
What We Do
We are dentsu. We team together to help brands predict and plan for disruptive future opportunities and create new paths to growth in the sustainable economy. We know people better than anyone else and we use those insights to connect brand, content, commerce and experience, underpinned by modern creativity. We are the network designed for what’s next
