Data Scientist

Numerator


Date: 3 weeks ago
City: Vadodara, Gujarat
Contract type: Full time
Remote
We’re reinventing the market research industry. Let’s reinvent it together.

At Numerator, we believe tomorrow’s success starts with today’s market intelligence. We empower the world’s leading brands and retailers with unmatched insights into consumer behavior and the influencers that drive it.

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

What You'll Bring to Numerator

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. Business fluency in French highly desirable.

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