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Sr. Data Scientist

Job in Hoboken, Hudson County, New Jersey, 07030, USA
Listing for: CeDent
Full Time position
Listed on 2026-07-16
Job specializations:
  • IT/Tech
    Data Scientist, Data Analyst, Machine Learning/ ML Engineer, AI Engineer (Applied/Software)
Salary/Wage Range or Industry Benchmark: 140000 - 180000 USD Yearly USD 140000.00 180000.00 YEAR
Job Description & How to Apply Below

Sr. Data Scientist (Bentonville, AR; Hoboken, NJ; ...)

We are seeking an experienced data science individual contributor to enable deep insights and capabilities to our clients through advanced analytics and machine learning techniques (e.g. predictive modeling, segmentation, etc)

Responsibilities
  • Perform hands‑on modeling and complex analyses using Python, SQL and/or R
  • Build and enhance media mix models to connect the impact of marketing tactics and business short‑term and long‑term outcomes
  • Run optimization and simulation scenarios to help provide the marketing investment and allocation recommendations to Marketing leadership and CMO
  • Present media mix insights to different levels of senior clients
  • Explain complex modeling approaches in simple terms and develop compelling narratives that connect modeling results with business problems
  • Partner with cross‑functional team to streamline data science solutions
  • Integrate disparate data sources and leverage state‑of‑the‑art analytics best practices in order to deliver integrated actionable insights to partners and senior leadership around digital marketing optimization
Minimum Qualifications
  • Master's degree in statistics, economics, operations research, engineering, or related field
  • 6+ years of industry experience in data science, measurement, marketing strategy & analytics
  • Strong communication skills to ‘tell a story’ that provides insight into the business
  • Proficient coding skills (SQL/Python/R) and database knowledge
  • Extensive experience with predictive modeling algorithms
  • Strong project management skills, including managing technical resources and multiple priorities & milestones.
  • You have a passion for working in a fast‑paced agile environment.
  • A collaborative mindset and sense of curiosity
Preferred Qualifications
  • PhD degree in Statistics, Economics, Operations Research, or related field
  • Experienced in building market mix and multi‑touch attribution models
  • Experience with advertising, measurement, and/or digital marketing analytics
  • Experience with advertising technology platforms Ad servers, DSPs, DMPs, etc.
  • Advanced programming skills with experience of creating Python modules
  • Experience with A/B and Multivariate test design and implementation

Department:
Preferred Vendors | This is a contract position

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