Senior Data Scientist
The NPD Group

Port Washington North, New York

This job has expired.


Learning and growing with NPD

Combining consumer surveys, retail point-of-sale data, and cutting-edge analytics, The NPD Group delivers trusted retail industry research to the world's most successful brands and retailers. We also offer careers that reward innovation and provide growth opportunities for forward-thinking problem-solvers who join our team. Speed your career growth, while working with the best and brightest in the market research industry.

Position Overview

The NPD Group is seeking a mid- to senior-level manager with extensive programming experience in data science.

The Sr. Data Scientist will play a key role in managing the ongoing improvement of our statistical adjustment and modeling methodologies, both in terms of speed/ease and quality particularly in the areas of classification and anomaly detection.

Overall Responsibilities:

  • Manage (and as necessary, perform) statistical program development for statistical adjustment and modeling.
  • Share responsibility for creating/updating requirements, mockups, user stories, prototypes etc. based on needs, input from stakeholders, and feedback from internal users
  • Help guide team in developing new processes in an iterative way, allowing opportunities to get feedback from stakeholders and work out complicated portions of processes early during development
  • Participate with team members via code reviews, pair programming, unit test/acceptance test reviews, and brainstorming sessions.
  • Help establish development practices and patterns within the team, such as test-driven development, version control, and use of agile management tools.
  • Help manage migrating/rewriting processes (sometimes SQL, Python, older R code, or even non-code processes) to new code (potentially within Python, R, Spark, or SQL). Through migration ensure change is handled in a safe manner, using unit tests to confirm new code works in an equivalent way to legacy process
  • Conduct original research-on-research (e.g., through simulations and/or evaluations of historical data) to improve methodologies, processes, and data integrity for data from surveys, scanner (point-of-sale), receipts, credit card, GPS, and other data sources.


Qualifications:
  • 3+ years of work experience, with solid breadth and depth of knowledge of statistical and analytic techniques.
  • Advanced theoretical understanding of statistical models and prior experience with the following: linear regression, support vector machines, logistic regression, probit, decision trees.
  • A demonstrated understanding of the mathematical underpinnings of probability distributions, processes for generation, and their proper applications.
  • Experience with one or more development methodologies (Agile, Kanban, Lean, Scrum/Scrum Master) preferred.
  • Excellent time management and creative problem-solving skills.
  • Excellent written and oral communication skills, with the ability to communicate effectively to both technical and non-technical audiences.
  • Experience with data analysis in Python or R is required. Experience with additional languages and/or more extensive proficiency preferred.
  • Degree in statistics, quantitative social science, computer science, mathematics, or related fields is required.
  • Travel (typically


Communication:

The ideal candidate must be able to communicate in a concise and polished manner to diverse audiences of internal or external clients. Most importantly, the candidate must demonstrate the ability to listen and build on other's suggestions.

Relationships:

The ideal candidate must be comfortable and effective when talking with a broad range of decision influencers and candidates, both via remote platforms, and when necessary, in person.

The NPD Group, Inc. is an Affirmative Action/Equal Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability or protected veteran status or any other characteristic protected by law.


This job has expired.

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