Marketing Lead Data Scientist job in New York City, NY| Recruit Arrow
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Title
Marketing Lead Data Scientist
Location : New York, New York City
Refer job # VLWQ339177
 
Job Responsibilities and Requirements: Responsibilities Leads and contributes to marketing data analysis and modeling projects from project/sample design, business review meetings with internal and external clients deriving requirements/deliverables, reception and processing of data, performing analyses and modeling to final reports/presentations, communication of results and implementation support. Demonstrates to internal and external stakeholders how analytics can be implemented to maximize business benefits. Provides technical support, which includes strategic consulting, needs assessments, project scoping and the preparation/presentation of analytical proposals. Utilizes advanced statistical techniques to create high-performing predictive models and creative analyses to address business objectives and client needs. Tests new statistical analysis and machine learning methods, software and data sources for continual improvement of quantitative solutions. Proactively and effectively communicates in various verbal and written formats with internal stakeholders on product design, data specification, model implementations, with partners on collaboration ideas and specifics, with clients and account teams on project/test results, opportunities, questions. Resolves problems and removes obstacles to timely and high-quality project completion. Create project milestone plans to ensure projects are completed on time and within budget. Provides high quality ongoing customer support; answering questions, resolving problems and building solutions. Stay informed of advancements in applying statistical and machine learning methods to marketing applications and related data/analytics processes and businesses. Functions as the analytics expert in meetings with our marketing partners and our external data vendors and agencies. Actively participates in proof of concept tests of new data, software and technologies. Shares knowledge within Analytics group. Assures compliance with regulatory and privacy requirements during design and implementation of modeling and analysis projects. Travels to events and vendor meetings as needed (< 10%). Required qualifications Master's or Ph.D. degree with concentration in a quantitative discipline such as statistics, computer science, mathematics, economics, quantitative psychology, or operations research and 3 years of relevant industry experience as a data scientist in a marketing function. Strong verbal and written communications skills, listening and teamwork skills, and effective presentation skills. This is absolutely essential since you will have a lot of exposure to different internal groups (marketing, internal consulting, IT, medical, underwriting, Legal, Agency, government relations, etc.) as well as third-party data partners. Substantial programming experience with almost all of the following: SAS (STAT, macros, EM), R, H2O, Python, SPARK, SQL, other Hadoop. Exposure to Strong expertise in statistical modeling techniques such as linear regression, logistic regression, survival analysis, GLM, tree models (Random Forests and GBM), cluster analysis, principal components, feature creation, and validation. Strong expertise in regularization techniques (Ridge, Lasso, elastic nets), variable selection techniques, feature creation (transformation, binning, high level categorical reduction, etc.) and validation (hold-outs, CV, bootstrap). Foundational knowledge of customer segmentation, campaign management, using predictive models for target marketing strategies and how to maximize the efficiency of direct mail. Experience with both off line and online marketing. Comprehensive understanding of marketing mix modeling, last touch / multi touch attribution, media buying analytics and all aspects of digital analytics. Familiarity with online browsing behavior and building audiences in a DMP. Experience with data visualization (e.g. R Shiny, Spotfire, Tableau) Proficiency in creating effective and visually appealing PowerPoint presentations.
 
 
 
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