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Senior Data Scientist, Algorithm (Relo to SF) Join to apply for the Senior Data Scientist, Algorithm (Relo to SF) role at Airwallex . 4 days ago Be among the first 25 applicants About Airwallex Airwallex is the only unified payments and financial platform for global businesses. Powered by our unique combination of proprietary infrastructure and software, we empower over 200,000 businesses worldwide including Brex, Rippling, Navan, Qantas, SHEIN and many more with fully integrated solutions to manage everything from business accounts, payments, spend management and treasury, to embedded finance at a global scale. Proudly founded in Melbourne, we have a team of over 2,000 of the brightest and most innovative people in tech across 26 offices around the globe. Valued at US$8 billion and backed by worldleading investors including T. Rowe Price, Visa, Mastercard, Robinhood Ventures, Sequoia, Salesforce Ventures, DST Global, and Lone Pine Capital, Airwallex is leading the charge in building the global payments and financial platform of the future. If youre ready to do the most ambitious work of your career, join us. Attributes We Value We hire successful builders with founderlike energy who want real impact, accelerated learning, and true ownership. You bring strong rolerelated expertise and sharp thinking, and youre motivated by our mission and operating principles. You move fast with good judgment, dig deep with curiosity, and make decisions from first principles, balancing speed and rigor. Youre humble and collaborative; turn zerotoone ideas into real products, and you get stuff done endtoend. You use AI to work smarter and solve problems faster. Here, youll tackle complex, highvisibility problems with exceptional teammates and grow your career as we build the future of global banking. If that sounds like you, lets build whats next. Were seeking a Senior Data Scientist to partner closely with the Marketing team to derive actionable datadriven insights and to directly impact business outcomes. You will develop key Marketing reports, drive deepDive analyses, and stay on top of market trends to develop and optimize our Marketing strategies. Youre naturally curious and have a track record of offering recommendations to enhance our brand presence and drive business growth. Youll join the Airwallex team during a critical period, where we are building a team that enables both global consistency in process, tooling and methodology and local flexibility and speed in execution. This is a great opportunity to shape the next phase of Airwallexs growth. This role is based in San Francisco. Learn more about the data science team in this blog. What You Will Do Develop predictive models to identify highvalue users for Marketing and Commercial teams Apply machine learning and/or statistical models to measure causal impact of Marketing initiatives Develop attribution models to quantify the impact of different campaigns, channels, and other initiatives on conversions Design and implement experiments to measure impact of ad spend, brand campaigns, and other Marketing initiatives Partner with Marketing, Commercial, Engineering, and crossfunctional teams to inform, influence, support, and execute GTM strategy and investment decisions Qualification 5+ years industry experience and an advanced degree (PhD or MS) in a quantitative field (e.g. Statistics, Engineering, Sciences, Computer Science, Economics) Experience with communicating the results of analyses to executives and crossfunctional teams to influence the strategy Expert in data querying languages (e.g. SQL), scripting languages (e.g. Python), and/or statistical/mathematical software (e.g. R), experience in schema design and dimensional data modeling a plus Expert in machine learning and statistical modeling to drive datainformed decisions, experience with deploying production machine learning models a plus Experience in technology, financial services and/or a high growth environment is advantageous Applicant Safety Policy: Fraud and ThirdParty Recruiters To protect you from recruitment scams, please be aware that Airwallex will not ask for bank details, sensitive ID numbers (i.e. passport), or any form of payment during the application or interview process. All official communication will come from an @airwallex.com email address. Please apply only through careers.airwallex.com or our official LinkedIn page. Airwallex does not accept unsolicited resumes from search firms/recruiters. Airwallex will not pay any fees to search firms/recruiters if a candidate is submitted by a search firm/recruiter unless an agreement has been entered into with respect to specific open position(s). Search firms/recruiters submitting resumes to Airwallex on an unsolicited basis shall be deemed to accept this condition, regardless of any other provision to the contrary. Equal opportunity Airwallex is proud to be an equal opportunity employer. We value diversity and anyone seeking employment at Airwallex is considered based on merit, qualifications, competence and talent. We dont regard color, religion, race, national origin, sexual orientation, ancestry, citizenship, sex, marital or family status, disability, gender, or any other legally protected status when making our hiring decisions. If you have a disability or special need that requires accommodation, please let us know. Compensation Range: $150K - $250K Seniority level MidSenior level Employment type Fulltime Job function Engineering and Information Technology #J-18808-Ljbffr