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Form of work
SalaryWhy we will love you
The Data and Analytics team leverages the power of data, analytics, and cognitive technologies to uncover hidden relationships from vast troves of data, generate insights, and inform decision making leading to a better experience for our customers and employees. As a Data Scientist, you'll help manage and guide data science elements of AI/ML projects. You’ll build and train new production-grade algorithms that can learn from complex, high-dimensional data in order to uncover patterns from which machine learning models and applications can be developed. You’ll guide the transformation of machine learning domain experience in the area of human data into viable prototypes. Research emerging industry tools, techniques, and algorithms, and share application of these findings with colleagues. IDEAL CANDIDATE PROFILE: Knowledge of data set processes for data modeling, mining and production, as well as visualization tools including PowerBI and Looker Knowledge of machine learning development languages including R and/or Python and other developments in a fast moving data technology landscape e.g. Hive or Hadoop (and/or similar statistical programming language) Knowledge of DevOps and agile development practices Exposure to development of industrialized analytical software products Deeply motivated to continuously develop and enhance programming skills and knowledge of machine learning and AI applications Experience with customer analytics, personalization, product and price recommender systems, Generative AI, computer vision, image diffusion models, NLP, and demand forecasting (ideally in a retail setting) Experience choosing relevant algorithms fit for purpose, such as gradient boosting, Bayesian modeling, deep learning, natural language processing, time-series analysis, or optimization / OR techniques Experience with AI/ML projects building & training new production grade algorithms with complex high-dimensional data. Experience researching state of the art industry techniques and algorithms to apply to business value. QUALIFICATIONS BS in Mathematics, Computer Science, Engineering, Statistics, Economics or equivalent. MS or similar higher level education is preferred. Experience and knowledge of working with large datasets and distributed computing architectures Knowledge of coding in R and/or Python and development of artificial intelligence applications Experience in statistical analysis and statistical software Experience in data processing and analysis Experience in working in an Agile or DevOps working set-up
What you'll be doing day to day
- Performs work with care, accuracy, and attention to detail and strives to meet quality standards
- Ability to work with large amounts of raw data and feel comfortable with working with different programming languages
- High intellectual curiosity with ability to develop new knowledge and skills and use new concepts, methods, digital systems and processes to improve performance
- Ability to provide input to user-story prioritization as appropriate based on new ideas, approaches, and strategies
- Collaborates with others (incl. virtual) to achieve goals
- Ability to understand the complexity of IKEA business and the role of data and information as an integrated part of the business
- Develop the business and deliver results
- Lead and develop people
Some other stuff
Travel required:
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Job Type-Permanent, Salaried Benefits Eligible- yes We offer competitive benefits and perks, such as medical and Rx*, dental, vision, 401k, meal deal, store discount, autism coverage, parental leave, pet insurance, education assistance and more.” SALARY DISCLOSURE- The ideal pay range for this role is $103,127 - $153,226 annually. This is hybrid work model where candidate will report to an office 3 days a week and work remote 2 days.
