> Markdown version of [/jobs/ext/4366044-data-solutions-manager-data-modeling-and-data-science](https://www.wearedevelopers.com/jobs/ext/4366044-data-solutions-manager-data-modeling-and-data-science). Every page supports `.md` or `Accept: text/markdown`. Links point to the HTML versions so they work for humans too. Agent guide: [/agents.md](https://www.wearedevelopers.com/agents.md).

---

# Data Solutions - Manager Data Modeling and Data Science

- **Company:** Merkle Inc.
- **Location:** United States (Remote available)
- **Experience:** Expert
- **Salary:** $137,280 - $183,040
- **Contract:** Temporary contract
- **Skills:** Artificial Intelligence, Data Analysis, Cluster Analysis, Relational Databases, Database Marketing, Factor Analysis, R (Programming Language), Python (Programming Language), Linear Regression, Logistic Regression, Machine Learning, SQL Databases, Snowflake, Xgboost, Claude
- **Published:** October 16, 2026
- **Apply:** https://www.builtincolorado.com/job/data-solutions-manager-data-modeling-and-data-science/11731451?handler=ApplyRedirect

## About the Role

* 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.

## Description

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