Data Solutions - Manager Data Modeling and Data Science

Merkle Inc.; Colorado; On-site; USD 137,000 - 183,000; Full time

Job summary

Merkle Inc. is seeking a Manager of Data Modeling and Data Science to drive strategic impact through advanced analytics and predictive modeling. This role blends hands-on technical excellence with strategy, owning QA across deliverables and mentoring analysts.

You will translate complex marketing challenges into data-driven strategies, guiding client data licenses, campaigns, and production analytics in Snowflake/SQL/Python/R, while leading discussions with clients and stakeholders.

Qualifications

• 5+ years in quantitative marketing analytics or data science.
• Advanced Snowflake, SQL, R, Python, and AI tools (Claude) experience.
• Experience combining 3rd and 1st party data for modeling and scoring.
• Ability to explain complex analytics to non-technical audiences.
• Proficient in regression, clustering, XGBoost, and DOE forecasting.
• Bachelor’s degree in Statistics/Math/Economics; Masters preferred.

Responsibilities

• Drive strategic impact with advanced analytics and predictive modeling.
• Mentor analysts and manage analytics deliverables.
• Build and optimize multi-channel campaigns using modeling.
• Lead data solutions for client campaigns and scoring.
• Present modeling findings to clients.
• Coordinate project tasks and timelines.

Skills

Quantitative marketing analytics

Data science

Statistical modeling

Communication to non-technical

Problem solving

Education

Bachelor’s degree in Statistics/Math/Economics

Master’s degree preferred

Tools

Snowflake

SQL

R

Python

AI tools (Claude)

Job description

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;
• 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 ratefor the successful candidateis based on a variety of factors, including relevant experience, knowledge, skills, and other factorspermittedby law.Temporary employees are eligible for paid holidaysin accordancewithdentsu policy,as well assafe and sick time. This position is not eligible for any other benefits or other compensation.