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Principal Engineer
Principal Engineer-February 2024
Basking Ridge
Feb 10, 2026
About Principal Engineer

  Principal Engineer needed by Verizon in Basking Ridge, NJ (hybrid role, may work from home): Manage, guide, and build day-to-day analytics processes and tools, including data identification and collection, analytics design using advanced statistical methods, marketing mix model development, implementation and maintenance of new analytic approaches, interpretation of findings, and coordination with strategy and insights teams and data teams; Help build a best-in-class analytical roadmap that obtains both short-term and long-term objectives required to be a center of analytic excellence; Lead the team efforts in delivering improvements in decision-making and business strategies via advanced analysis including marketing mix, clustering, segmentation, point estimation, design experiments, etc. Work in close collaboration with Marketing Effectiveness team members and other internal partners to leverage expertise in data management, advanced marketing mix modeling, scoring, etc., in order to develop key insights. Lead the design, implementation, and interpretation of advanced multi-factor experiments to evolve testing approaches. Present complex statistical concepts and research results to the non-statistical audience. Lead the deck preparation by both providing direction to junior team members as well as being willing to roll up the sleeves to create the presentation. Help foster a continuous test and learn culture and process (i.e., rapid cycle learning). Continually broaden and strengthen knowledge of analytical methods, vendors, and tools.REQUIRES Master’s or foreign equivalent degree in Statistics, Mathematics, Econometrics, Computer Science, or a related field, and 5 years of experience in the job offered or as a Statistician, Data Scientist, Consultant/Manager, or in a related/similar position. Experience therein to include 5 years in statistics, using R and building models in R; 4 years with Bayesian statistics, programming in Stan, and building marketing or media mix models using R and Stan; and 1 year using visualization tools and SAS. Hybrid role, ability to work from home.

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