Data Scientist

5 days ago

Vadodara, Gujarat, India Numerator Full time ₹ 15,00,000 - ₹ 25,00,000 per year

Job Description

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

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