Manager, Data Modeling and Data Science - Temporary Worker
About The Position
The Manager, Data Modeling & Data Science drives strategic business impact through advanced analytics and predictive modeling, serving as a trusted advisor to clients across multiple vertical portfolios. The role combines hands-on technical work with strategy: designing analytical solutions, ensuring quality across deliverables, and mentoring analysts. The Manager translates marketing challenges into data-driven strategies intended to produce measurable business outcomes. This temporary, W-2 role is expected to last approximately four to five months. Candidates must be located in the United States. The position is listed as remote in Colorado. The start date is ASAP.
Requirements
- At least five years of experience in quantitative marketing, analytics, or data science.
- Core database marketing knowledge, including company and client data, relational database concepts, and direct marketing concepts.
- Advanced experience with Snowflake, SQL, R, Python, AI tools such as Claude, logistic regression, linear regression, XGBoost machine learning, and clustering.
- Advanced experience combining third-party and first-party data for modeling, scoring, and campaign analytics.
- Ability to explain and present advanced analytical methods and results to nontechnical audiences.
- Ability to perform advanced analytical tasks, including developing or editing modeling code, modeling, segmentation, design of experiments, and forecasting, and to create meaningful analytical outputs.
- Ability to translate analytical insights into actionable recommendations and strategies for marketers.
- Experience applying statistical techniques such as regression, cluster analysis, and factor analysis to business problems.
- Ability to formulate analytical problems, quality-check data and results, summarize findings, make actionable recommendations, and develop innovative analytical solutions.
- Bachelor’s degree or foreign equivalent in Statistics, Mathematics, Economics, or a related scientific or quantitative field.
- At least five years of experience as a Data Analyst or in a related occupation.
- Must be located in the United States.
Nice To Haves
- Master’s degree or higher.
Responsibilities
- Ensure timely delivery of data, analytics, and models supporting client data licenses, database marketing initiatives, and campaigns.
- Develop or edit R and Python code for model building, scoring, and delivery.
- Direct and manage the work processes and output of database marketing analysts.
- Evaluate client needs for quantitative analysis and help develop relevant solutions, methods, and implementation processes.
- Use data and statistical modeling expertise to advise teams, including through hands-on work with Snowflake, SQL, Python, and R.
- Build and optimize clients’ multichannel campaigns through model building, campaign scoring, and production.
- Evaluate third-party data vendors for the data product using qualitative and quantitative methods.
- Manage project tasks, timelines, and deliverables, including model builds, deployment, and campaign production and scoring.
- Advise on predictive statistical models, customer profiling, segmentation analysis, campaign analysis and scoring, and data analysis and mining.
- Co-present modeling findings and campaign results to clients.
- Work independently with minimal supervision and provide guidance to junior team members.
Benefits
- Paid holidays in accordance with Dentsu policy.
- Safe and sick time.
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What This Job Offers
Job Type
Full-time
Career Level
Manager
