Numerator

Data Scientist


PayCompetitive
LocationRemote
Employment typeOther

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  • Job Description

      Req#: 602493
      Responsibilities:
      • Deliver complex analytics projects, providing data-driven insights to address critical business challenges by analyzing disaggregated data utilizing modeling, statistics, and machine learning.

      • Work with diverse data sets to clean, manipulate, and analyze data using tools such as R, Python, and SQL

      • Apply a range of statistical techniques and modeling processes to transactional and attitudinal data to help answer our clients’ business questions

      • Develop expertise in all our analytical solutions, understanding their technical intricacies and their value to clients

      • Share analytical best practices and insights across teams to foster alignment and continuous improvement and development of advanced analytical techniques

      • Simplify and explain complex analytical concepts in a clear and concise manner, tailoring explanations to different audiences

      • Support the continuous improvement and development of our advanced analytical techniques and how we run them

      • Act as an analytical expert on projects, providing advice internally to ensure that our approaches and outputs remain best-in-class

      Requirements:

      • Education: A university degree in a mathematical, scientific, or related discipline with a strong statistical component. A higher degree in a relevant field is preferred but not required

      • Technical Skills: Proficiency in R and Git is essential. Knowledge of SAS, SQL, Python and Shiny are desirable.

      • Analytical Mindset: Strong interest in understanding consumer behaviour and how brands can grow through data-driven insights. Strong analytical thinking ability

      • Data Handling: Hands-on experience in working with large datasets, performing statistical analyses, running machine learning models, and visualizing results using the R ecosystem

      • Industry Knowledge: Experience working with panel or survey data is an advantage but not mandatory

      • Experience working with relevant modeling techniques – clustering techniques, regression, probability modeling, and others

      • Highly collaborative and adaptable with the ability to work effectively within different cultural and technical environments

      • Enjoys actively looking for new and more efficient ways of improving processes, raising standards, reducing errors, and overcoming omissions

      • Critical thinking and genuine passion for consumer behaviour.

      • Possesses outstanding communication and interpersonal skills to comfortably connect with partners at all levels across the organization and facilitates discussions in a constructive manner

      • Fluency in spoken and written English is mandatory.

  • About the company

      We provide the real-time consumer insights brands and retailers need to understand consumer buying behavior and the advertising, promotions and pricing that drive it. Get your demo now!