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Core Competencies
Role fitCore Competencies
Use this summary to align your resume positioning with the role.
Expertise in predictive modeling, machine learning, and data analysis, with a strong ability to communicate complex insights to diverse audiences. Proven experience in managing stakeholder relationships and leading data science teams to drive strategic marketing initiatives.
Highest-signal resume keywords
Predictive ModelingMachine LearningPythonSQLData Storytelling
ATS Keywords
Tailor your resumeApplicant Tracking System Keywords
Tip: use these terms in your resume and cover letter to boost ATS matches.
Hard Skills
Predictive ModelingStatistical TechniquesData MiningClusteringComputational SimulationQuantitative AnalysisData QueriesDigital AttributionAdvertising Lift ModelsData Visualization
Soft Skills
Written CommunicationVerbal CommunicationTeam CollaborationAttention to DetailProject Management
Tools & Technologies
Amazon S3Google Ads Data HubFacebook Advanced AnalyticsAmazon Marketing CloudCloud-Based Infrastructure
Industry Keywords
Advertising TechnologyMarketing StrategyData ScienceCustomer SegmentationBusiness Processes
Tech Stack
Tools & technologiesCloudPythonSQL
About the role
Key responsibilities & impact- Manage expectations of internal and external stakeholders
- Perform predictive modeling and data queries across advertising and marketing technology platforms
- Develop actionable insights through quantitative analysis, innovative thinking, and data storytelling
- Deliver marketing and strategic advice using statistical and machine learning models and data mining
- Liaise between data and client decision-making processes
- Inform stakeholders and prospective clients on ways to improve business processes
- Maintain productive peer-level or higher client relationships and provide project updates
- Participate in multidisciplinary teams developing marketing strategies for existing and prospective clients
- Coach and manage the learning path of Data Science team members by standardizing processes and owning documentation
- Present complex reporting, models, and dashboards to technical and non-technical audiences
- Set analysis parameters with Advertiser, Media Strategy, and Digital Investment teams
- Build modeling and machine learning capabilities, including clustering and look-alike modeling
- Support Digital Attribution and Advertising Lift models in data clean rooms
- Evaluate model performance and determine cutoff points and audience targeting pools
- Obtain data from Amazon S3, Omnicom third-party data partnerships, and data clean rooms such as Google Ads Data Hub, Facebook Advanced Analytics, and Amazon Marketing Cloud
- Deploy scalable solutions to cloud-based infrastructure for processing, visualization, and analysis
Requirements
What you’ll need- 10+ years of experience with predictive modeling, databases, computational simulation, clustering, machine learning, and remote computing in academia or industry
- 8+ years of industry experience with Python, SQL, R, and other similar statistical computing environments
- Very strong written and verbal communication skills
- Ability to clearly explain complex technical ideas to multiple audiences verbally and in writing
- Graduate degree in statistics, mathematics, economics, engineering, information management, social sciences, or business/marketing-related fields
- Experience working in high-volume databases, utilizing quantitative techniques for campaign analysis, optimization, customer segmentation, and/or predictive modeling
- Strong command of statistical techniques and concepts
- Strong attention to detail
- Desire to learn and passion for digital marketing, research, and analytics
- Ability to work well with others and in cross-functional teams
- Ability to manage and prioritize concurrent tasks in a fast-paced environment
Benefits
Comp & perks- Health insurance
- Vision insurance
- Dental insurance
- 401(k)
- Healthcare Flexible Spending Account
- Dependent Care Flexible Spending Account
- Vacation days
- Sick days
- Personal days
- Paid parental leave
- Paid medical leave
- STD/LTD insurance benefits