Data Solutions - Manager Data Modeling and Data Science

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

• 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.

Leads client analytics and data science projects, integrating datasets, developing predictive models, managing campaign scoring, and delivering actionable recommendations. Manages and mentors analysts, oversees quality and project delivery, develops R and Python code, evaluates third-party data vendors, and presents complex analytical findings to nontechnical clients. The role requires advanced statistical modeling, database marketing expertise, and strategic client advisory skills. The summary above was generated by AI The purpose of this role is to lead and manage customer analysis deep dives, execute the strategies outlined by senior leadership, and manage the day-to-day communication with clients. Key responsibilities: Integrates disparate datasets, conducts data preparation for analyses Manages and mentors a team of analysts, contributing to their technical and career development Applies data science methods to provide insights and recommendations to clients Maintains knowledge of new trends in the data science industry Independently manages data science projects and delivery to clients Develops and manages code used for analytics purposes Communicates findings and insights, 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.