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Senior Data Scientist / Data Solution EngineerJoin to apply for the Senior Data Scientist / Data Solution Engineer role at affixContinue with Google Continue with GoogleSenior Data Scientist / Data Solution EngineerJoin to apply for the Senior Data Scientist / Data Solution Engineer role at affixDirect message the job poster from affixTech stack: SageMaker, OpenAI API, Python, Snowflake, Tableau, AWS, GCPThe StoryA global technology company, founded in 1999 as an online marketplace, parent company Rakuten is an industry giant that has expanded offerings to include e-commerce, fin-tech, digital content and communications to 1.9 billion members globally and with presence in over 30 countries!Then theres their Rakutens Rewards cash-back product.To date, their 17 million members in the U.S. alone have earned over $3.7 billion in cash-back at their favorite stores. How cool is that? Its a fascinatingly complex system, with millions of users - and that is at the very heart of their business. Rakuten Rewards directly puts money back into the pockets of users, which is pretty damn cool to think about.The RoleThis is very much a business & strategy focussed role through the use of Data Science, Advanced Analytics and Machine Learning. And while there is a focus on cashback tracking and attribution, this role offers variety which lends itself to an analytical thinker who thrives on uncovering insights and developing strategies across many facets of the organisation.As Senior Data Scientist / Data Solutions Engineer, youll form part of the Transparency group and be instrumental in ensuring real-time visibility of cashback tracking and attribution for millions of transactions. A high impact role that will directly impact Rakuten Rewards members'' experience by making sure they receive their rewards seamlessly and transparently.Youll build real-time models that process disparate events throughout the customer journey to deliver instant cashback to consumers, and work on cutting-edge challenges in fraud technology, payment analytics, operational analytics, and performance optimisation.As part of this you will analyse large-scale transaction data to identify tracking gaps, design experiments to test hypotheses, and develop strategies to enhance real-time tracking capabilities. Your insights will drive improvements in Rakuten Rewards attribution models and optimise the overall member experience.What you Bring to the RoleWe''re looking for someone with a blend of technical expertise and business acumen that thrives using their Data Science and Machine Learning expertise for real-world business impact. You enjoy presenting data driven performance trends and insights to key stakeholders, and collaborating closely with global business leaders and product managers to define strategies, design experiments and translate insights into actions.Some of the things we are looking for:Exceptional and eloquent communication skills with the ability to explain complex technical concepts to both technical and business audiences, including C-level executives.Proven track record in data-driven decision-making and improving business processes.Strong foundation in SQL, Python, and machine learning techniques and using tools such as TensorFlow, PyTorch, scikit-learn.Hands-on experience with ML implementation building solutions that provide tangible business value.Experience building advanced Tableau dashboards and conducting deep analyses using SQL and Python.Ideally some experience applying AI solutions to business problems including exposure to LLMs and generative AI. If you don''t *yet* have this experience, this is your chance to gain first-hand experience in this space!Someone that has the ability to work independently and adapt to a fast-paced environment, while engaging effectively with senior leadership.Whats in it For You Hybrid, with a mix of remote & 3 days a week in person collaboration at their Cremorne based office. Expect regular team lunches and outings, and lots of cake (yum)! Families (and life) come first. Flexible working is at the very heart of their ways of working, and youll find folks who work a variety of ways (part time, flex start & finish times + more) that suit their unique needs. Lots of opportunities for career growth -- with a training/conference budget, the space + support to actually do your L&D within business hours, and supportive mentors who want to you see you shine. They have an open culture of sharing knowledge, ideas and laughs from all parts of the business. Everyone is encouraged to share their creativity on all aspects of the business, including product, and they ensure all ideas are treated equally. Most importantly, the folks here are curious minds who love to try their hand at things. Theres is a supportive environment where learning through failure is a badge of honour!Next StepsCurious to learn more? 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