• Champion bold AI and ML interventions to improve our styling experiences. • Actively shape the product roadmap for direct client-facing styling experiences. • Inspire your team by fostering a culture of ideation, ownership, feedback, and collaboration. • Act as an advocate for Styling and Merchandising teams, empowering partners to understand trends. • Work with product managers, other data science teams, UI/UX designers, and business leaders. • Oversee the end-to-end algorithm development lifecycle, from ideation to deployment. • Identify and implement best practices for team collaboration, code quality, and data management. • Stay up-to-date with advancements in AI-assisted development, AI-enabled product experiences, and fashion technology.

Title: Staff Data Scientist, Growth Analytics Location: US - San Francisco Department: Engineering Job Description: 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 2,200 of the brightest and most innovative people in tech across 26 offices around the globe. Valued at US$8 billion and backed by world-leading 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 you’re ready to do the most ambitious work of your career, join us. Attributes We Value We hire successful builders with founder-like energy who want real impact, accelerated learning, and true ownership. You bring strong role-related expertise and sharp thinking, and you’re 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. You're humble and collaborative; turn zero‑to‑one ideas into real products, and you “get stuff done” end-to-end. You use AI to work smarter and solve problems faster. Here, you’ll tackle complex, high‑visibility problems with exceptional teammates and grow your career as we build the future of global banking. If that sounds like you, let’s build what’s next. About the team The Growth Analytics team at Airwallex is a dynamic group of data scientists and analytics professionals. We are passionate about leveraging data to drive business growth, optimize strategies, and unlock new opportunities across the company. As key partners to Growth, Marketing, Sales, and Product, our team works collaboratively to enable data-informed decision-making, experimentation, and scalable measurement frameworks supporting Airwallex’s global expansion. What you’ll do You will be the technical lead for the Growth Analytics team, working cross-functionally to identify growth opportunities, shape data science initiatives, and drive impactful strategies. You’ll mentor junior data scientists, partner with business stakeholders, and translate complex business questions into actionable analytic solutions. This role offers you the chance to help shape the next phase of Airwallex’s growth with data-driven leadership and innovation. This hybrid role is based in San Francisco or New York City. Responsibilities: - Act as a technical partner to Growth, Marketing, Sales, and Data Science leaders to develop and implement Airwallex’s growth strategy. - Lead and mentor the team in applying data science techniques—including root-cause analysis, statistical modeling, and experimentation—to unlock acquisition, activation, retention, and reactivation. - Design and implement robust, scalable measurement frameworks for data-driven decision-making across multiple teams. - Communicate complex data insights and recommendations clearly and persuasively to both technical and non-technical audiences, ensuring findings drive business impact. - Translate open-ended or complex business problems into structured, high-impact data science initiatives. - Mentor and coach junior data scientists, serving as the single-threaded technical owner on critical cross-functional projects. Who you are We’re looking for people who meet the minimum requirements for this role. The preferred qualifications are great to have, but are not mandatory. Minimum qualifications: - At least 7 years of industry experience and a degree in a quantitative field (e.g. Statistics, Engineering, Sciences, Computer Science, Economics). Advanced degree (PhD or MS) preferred. - Proven experience mentoring or leading data science or analytics teams. - Strong communication and interpersonal skills; demonstrated ability to influence strategy in high-growth, cross-functional environments. - Track record of applying data science to drive measurable growth outcomes. - Technical proficiency with SQL and Python/R; experience in data modeling is a plus. - Experience in technology, financial services, or high-growth environments is advantageous. Preferred qualifications: - Experience mentoring teams in a fast-paced, startup, or fintech environment. Applicant Safety Policy: Fraud and Third-Party 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 don’t 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.

Role Description Five Rivers Analytics is seeking a skilled and mission‑driven Data Engineer to support the United States Marine Corps (USMC) Logistics Data Systems Program under NIWC Atlantic. The ideal candidate will play a critical role in designing, building, and maintaining data pipelines and analytics solutions that enhance logistics readiness, operational visibility, and data‑driven decision‑making across the Marine Corps enterprise. Responsibilities: - Design, develop, and maintain scalable data pipelines to ingest, transform, and curate logistics, maintenance, and supply‑chain data from multiple USMC systems. - Implement robust ETL/ELT workflows to support analytics, reporting, and data warehousing initiatives. - Collaborate with data analysts, software engineers, and system integrators to ensure high‑quality data delivery for operational and strategic use cases. - Optimize database performance, manage data models, and ensure data accessibility and consistency across environments. - Work with NIWC Atlantic and USMC stakeholders to translate logistics data requirements into technical solutions. - Integrate data from authoritative USMC logistics systems such as GCSS‑MC, TLS, and other readiness and sustainment datasets. - Ensure compliance with DoD cybersecurity, RMF, and data governance standards when designing and deploying solutions. - Support the development of dashboards, APIs, and analytics tools that improve supply‑chain visibility and asset readiness. - Troubleshoot data issues, perform root‑cause analysis, and implement corrective actions to maintain data integrity. Qualifications - Bachelor’s degree in Computer Science, Information Systems, Data Engineering, or a related field (or equivalent experience). - Hands‑on experience with SQL, relational databases, and data modeling. - Proficiency with modern ETL/ELT tools and data pipeline technologies (such as Python, Airflow, Spark, or similar). - Experience with cloud environments (AWS, Azure, or DoD‑specific cloud platforms). - Ability to work within Agile teams and collaborate with cross‑functional technical and government stakeholders. - Strong understanding of data quality, integrity, and governance principles. - Active DoD Secret Clearance (or ability to obtain and maintain one). Requirements - Experience supporting DoD, USMC, or logistics/sustainment data systems. - Familiarity with NIWC Atlantic processes, environments, and program expectations. - Exposure to GCSS‑MC, logistics readiness systems, or maintenance/supply‑chain data environments. - Experience with containerization, CI/CD pipelines, and DevSecOps concepts. - Knowledge of RMF, cybersecurity best practices, and secure data engineering approaches. Benefits - The company offers a comprehensive benefits program, including medical, dental, vision, life insurance, 401(k) and a range of other voluntary benefits. - Paid Time Off (PTO) is offered to regular full-time and part-time employees. Company Description Five Rivers Analytics (FRA), an Akima company, is not just another federal IT contractor. As an Alaska Native Corporation (ANC), our mission and purpose extend beyond our exciting federal projects as we support our shareholder communities in Alaska. - At FRA, the work you do every day makes a difference in the lives of our 15,000 Iñupiat shareholders, a group of Alaska natives from one of the most remote and harshest environments in the United States. - For our shareholders, FRA provides support and employment opportunities and contributes to the survival of a culture that has thrived above the Arctic Circle for more than 10,000 years. - For our government customers, FRA delivers streamlined operations in support of an increasingly fast-paced, complex, and dynamic digital environment. - As a FRA employee, you will be surrounded by a challenging, yet supportive work environment that is committed to innovation and diversity, two of our most important values. - You will also have access to our comprehensive benefits and competitive pay in addition to growth opportunities and excellent retirement options.

Role Description We are seeking a Senior Data Scientist to play a key role in delivering advanced analytics across client engagements within our Advanced Analytics team. This role is responsible for leading complex analytical workstreams, applying robust statistical methodologies, and contributing to high-quality, actionable insights. You will partner closely with analytics, research, and client teams to translate business questions into analytical approaches and deliver outputs that inform decision-making. This is an ideal opportunity for an experienced data scientist looking to expand their ownership of projects while continuing to deepen technical expertise in market research methodologies. The Salary Range for this position is $100,000 - $115,000. If this is not the right level for you, please check out our other postings. For this remote position, must be based in the United States. What You’ll Do: - Lead Advanced Quantitative Analysis - Design and execute statistical models, including: - Regression and multivariate analysis - Segmentation and clustering techniques - Choice modeling and conjoint analysis - Lead model estimation, validation, and interpretation for assigned workstreams - Ensure analytical approaches are rigorous, scalable, and aligned to study objectives - Drive Analytical Workstreams on Client Engagements - Translate business and research questions into structured analytical approaches - Lead key components of analysis within client projects, partnering with senior team members on overall strategy - Contribute to development of insights that are clear, actionable, and aligned to client needs - Work with Complex Market Research Data - Prepare, transform, and validate survey and panel datasets - Apply data quality checks, weighting, and standard processing techniques - Develop efficient workflows to support repeatable and scalable analysis - Collaborate Across Teams - Partner with research and client teams to align on study objectives and outputs - Translate analytical findings into clear summaries for internal and client-facing use - Support development of deliverables and presentations that communicate insights effectively - Contribute to Best Practices and Team Growth - Follow and help reinforce standards for coding, documentation, and reproducibility - Participate in knowledge sharing and continuous improvement efforts - Provide informal guidance to junior team members as appropriate - Apply and Advance Synthetic Data Capabilities - Apply synthetic data techniques to support research design, modeling, and data augmentation - Ensure appropriate use of synthetic datasets while maintaining analytical integrity and validity - Contribute to expanding team capabilities and best practices in synthetic data applications Qualifications - 4–8 years of experience in data science, applied statistics, or market research analytics - Strong proficiency in R or Python for data analysis and modeling - Demonstrated experience with: - Regression and multivariate analysis - Segmentation techniques (e.g., clustering) - Choice modeling / conjoint analysis - Application of synthetic data in analytics workflows or research contexts - Experience working with survey, panel, or behavioral datasets - Strong problem-solving skills and attention to detail - Ability to clearly communicate analytical findings to non-technical audiences Preferred Qualifications - Experience in market research, consulting, or client-facing analytics environments - Familiarity with experimental design or causal inference methodologies - Experience contributing to multi-phase or complex client engagements - Have experience or exposure to algorithms capable of generating synthetic data Benefits - Medical, Dental, and Vision Insurance - Large carriers on a national level (domestic partner coverage included) - 401k with Company Match - Flexible PTO - Feel no guilt in taking off a minimum of 3 weeks of “real” vacation time - Paid Parental leave: 8 weeks - Paid Sick Leave: up to 8 weeks - 12 Paid Company Holidays - Hybrid/Virtual Work - Virtual-first workforce with employees in most states - Salary range for this role is $100,000 - $115,000 Equal Opportunity Employer All qualified applicants will receive consideration for employment without regard to race, color, sex, sexual orientation, gender identity, religion, national origin, disability, veteran status, age, marital status, pregnancy, genetic information, or other legally protected status.