HomeData Science JobsIKEA | Hiring | Data Science Advisor | BigDataKB.com | 08-04-2022

IKEA | Hiring | Data Science Advisor | BigDataKB.com | 08-04-2022

Job Location: Bangalore

WHO YOU ARE

We are looking for senior data science practioners with significant experience using data science to solve complex business problems. Data Science Advisor is the term we use to describe our most senior Data Scientists. They typically have a very high level of experience and capability, lead the technical and strategic direction for a domain, and act as an example and coach to our Senior Data Scientists and Data Scientists. We are especially looking for candidates whose experience includes:

  • Proven mastery of the field of data science with a track record solving complex business problems. Typically you will have 10+ years of experience in senior roles
  • Ability to influence senior stakeholders at the highest level of the company, whether in digital or other roles, and to explain data science concepts in a way appropriate to the audience
  • Ability to synthesise trends such as urbanisation, the rise of megacities, shared living, changing customer expectations (especially in Asia) and demographic change, identify the business problems and opportunities that these trends present, and lead others in the use of data and analytics to solve them
  • Academic background in mathematics, statistics, engineering, computer science or a related field
  • Ability to coach and set an example to other data scientists
  • Ability to collaborate with external institutions such as universities
  • Experience with acquisitions and joint ventures
  • Curiosity, sense of fun, desire to keep learning
  • Strong knowledge about / practical experience with machine learning models, especially in a commercial setting
  • Knowledge of techniques like time series analysis, numerical optimisation, operations research, causal inference, Bayesian modelling, system dynamics, differentiable programming
  • Experience of using process mining of massive transactional datasets to improve process execution
  • Broad knowledge of cross-functional digital product development principles and the importance of rapid validated learning cycles to optimise performance long term
  • Broad knowledge of collaborative software engineering practices (Git, Agile, DevOps)
  • Strong knowledge of SQL and Python for data processing and analytics
  • Strong communication skills to share your findings and approaches with technical and business stakeholders

WHAT YOU’LL BE DOING DAY TO DAY

We are looking for senior data science practioners with significant experience using data science to solve complex business problems. Data Science Advisor is the term we use to describe our most senior Data Scientists. They typically have a very high level of experience and capability, lead the technical and strategic direction for a domain, and act as an example and coach to our Senior Data Scientists and Data Scientists. We are especially looking for candidates whose experience includes:

  • Proven mastery of the field of data science with a track record solving complex business problems. Typically you will have 10+ years of experience in senior roles
  • Ability to influence senior stakeholders at the highest level of the company, whether in digital or other roles, and to explain data science concepts in a way appropriate to the audience
  • Ability to synthesise trends such as urbanisation, the rise of megacities, shared living, changing customer expectations (especially in Asia) and demographic change, identify the business problems and opportunities that these trends present, and lead others in the use of data and analytics to solve them
  • Academic background in mathematics, statistics, engineering, computer science or a related field
  • Ability to coach and set an example to other data scientists
  • Ability to collaborate with external institutions such as universities
  • Experience with acquisitions and joint ventures
  • Curiosity, sense of fun, desire to keep learning
  • Strong knowledge about / practical experience with machine learning models, especially in a commercial setting
  • Knowledge of techniques like time series analysis, numerical optimisation, operations research, causal inference, Bayesian modelling, system dynamics, differentiable programming
  • Experience of using process mining of massive transactional datasets to improve process execution
  • Broad knowledge of cross-functional digital product development principles and the importance of rapid validated learning cycles to optimise performance long term
  • Broad knowledge of collaborative software engineering practices (Git, Agile, DevOps)
  • Strong knowledge of SQL and Python for data processing and analytics
  • Strong communication skills to share your findings and approaches with technical and business stakeholders
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OUR TEAM WITHIN IKEA

We’re the ones who make it possible for people to have a smarter life at home and a hassle-free and rewarding shopping experience. Together we work to find new digital solutions for every business need to help make IKEA a great and efficient place to work. We like to think of ourselves as innovative and modern, and we believe that nothing would actually work without us.

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