Manager – Data Modeling and Data Science

dentsu Austria

. Lead and manage customer analysis deep dives .

Posted 10/16/2026contractRemote • Colorado • United StatesMid-LevelSenior💰 $66 - $88 per hourWebsite

Core Competencies

Role fit

Core Competencies

Use this summary to align your resume positioning with the role.

Demonstrates expertise in data science and quantitative analysis, utilizing advanced statistical techniques and programming skills in R and Python to deliver actionable insights and recommendations. Proven ability to manage projects, mentor teams, and communicate complex findings to diverse audiences.

Highest-signal resume keywords

Data Science Project ManagementAdvanced Statistical ModelingR And Python ProgrammingSnowflake And SQL ProficiencyQuantitative Marketing Analytics

ATS Keywords

Tailor your resume

Applicant Tracking System Keywords

Tip: use these terms in your resume and cover letter to boost ATS matches.

Hard Skills

Data AnalysisStatistical ModelingLogistic RegressionLinear RegressionXGBoost Machine LearningClusteringSegmentation AnalysisForecastingData PreparationCampaign Analytics

Soft Skills

Team MentoringClient CommunicationActionable RecommendationsProblem FormulationPresentation Skills

Tools & Technologies

SnowflakeSQLRPythonAI Tools (Claude)

Industry Keywords

Database MarketingQuantitative AnalysisDirect Marketing ConceptsRelational Database ConceptsFirst Party DataThird Party Data

Tech Stack

Tools & technologies

PythonSQL

About the role

Key responsibilities & impact

Lead and manage customer analysis deep dives
Execute strategies outlined by senior leadership
Manage day-to-day communication with clients
Integrate disparate datasets and conduct data preparation for analyses
Manage and mentor a team of analysts, supporting technical and career development
Apply data science methods to provide client insights and recommendations
Manage data science projects and delivery to clients independently
Develop and manage analytics code in R and Python
Ensure timely delivery of data, analytics, and models supporting data licenses, database marketing initiatives, and campaigns
Direct database marketing analysts' work processes and output
Evaluate client needs for quantitative analysis and develop implementation methods
Apply data and statistical modeling techniques using Snowflake, SQL, Python, and R
Build and optimize multi-channel campaigns through model building, campaign scoring, and production
Evaluate third-party data vendors using qualitative and quantitative methods
Manage project tasks, timelines, and deliverables, including model builds, deployment, and campaign production
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
Communicate findings and insights to non-technical audiences
Provide guidance to junior team members

Requirements

What you’ll need

Candidates must be located in the U.S.
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, and 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 developing/editing modeling code, modeling, segmentation, DOE, forecasting, and creating meaningful analytical outputs
Ability to translate analysis insights into actionable recommendations and strategies for marketers
Experience applying statistical techniques such as regression, cluster analysis, and factor analysis to solve business problems
Ability to formulate analytical problems, QC data and results, summarize key findings/insights, make actionable recommendations, and develop innovative analytical solutions
Bachelor's degree or foreign equivalent in Statistics, Math, Economics, or related scientific/quantitative field
At least five years of experience as a Data Analyst or related occupation
Core database marketing knowledge, including company and client data, relational database concepts, and direct marketing concepts

Benefits

Comp & perks

Paid holidays in accordance with dentsu policy
Safe and sick time