AI Data Scientist
WFA Digital Insight
The demand for skilled data scientists who can harness AI capabilities is on the rise, with a significant focus on empowering the global south. Airtm, a pioneer in stablecoin-payment infrastructure, is at the forefront of this movement. With a unique mission to facilitate cross-border payments and foster a new economy, Airtm stands out as a leader in the fintech space. As the remote job market continues to evolve, candidates with expertise in AI, data analysis, and collaboration are in high demand. Before applying, candidates should be aware of the company's innovative approach to financial infrastructure and its commitment to giving digital entrepreneurs the tools they need to succeed.
Job Description
About the Role
The AI Data Scientist position at Airtm is a critical component of the company's mission to empower digital entrepreneurs in the global south. As a key member of the data team, you will be responsible for designing and deploying AI-powered workflows that automate analysis, surface insights, and augment the team's operations. This role is perfect for individuals who are passionate about using data to drive business decisions and are eager to work in a collaborative environment.The day-to-day responsibilities of this role will involve working closely with cross-functional teams to identify analytical questions, define success metrics, and develop KPIs. You will also be responsible for building and maintaining analytics foundations, designing Tableau dashboards, and performing A/B testing and experimentation. If you have a strong foundation in statistics, experimentation, and hypothesis testing, and are skilled in SQL, Python, and dbt, this role could be an excellent fit.
Airtm is committed to fostering a culture of innovation and collaboration, and as such, this role will require strong communication and interpersonal skills. You will need to be able to clearly communicate findings and insights to both technical and non-technical stakeholders and work effectively with stakeholders to iterate on metrics, dashboards, and analyses as business needs evolve.
What You Will Do
- Design and deploy AI agent workflows to automate recurring analytical tasks, data summarization, and insight generation pipelines
- Evaluate and integrate LLM-based tools into the data team's workflow, assessing their reliability, accuracy, and fitness for analytical use cases
- Collaborate with product and business teams to define analytical questions, success metrics, and KPIs
- Build and maintain analytics foundation using SQL and dbt, enabling reliable reporting and self-serve analytics
- Design, build, and maintain Tableau dashboards that bring metrics to life and support day-to-day decision-making
- Perform A/B testing and experimentation, including experiment design, statistical inference, significance testing, and result interpretation
- Perform ad-hoc, exploratory, and statistical analyses to uncover insights and validate hypotheses
- Communicate findings clearly to both technical and non-technical stakeholders, translating data into actionable recommendations
- Partner with stakeholders to iterate on metrics, dashboards, and analyses as business needs evolve
- Develop and maintain documentation of data workflows, processes, and insights
What We Are Looking For
- 2 to 5 years of experience in a similar role, with hands-on experience with AI agent frameworks and demonstrated ability to build and deploy agentic systems
- Proven experience with prompt engineering and evaluating LLM outputs for data-related tasks
- Experience orchestrating multi-step AI pipelines that combine LLMs with structured data sources, APIs, or internal tooling
- Strong SQL and Python skills for data analysis and modeling
- Experience with dbt for analytics engineering workflows
- Experience building dashboards in Tableau or similar BI tools
- Solid foundation in statistics, experimentation, and hypothesis testing
- Ability to work cross-functionally and communicate insights effectively
Nice to Have
- Exposure to cloud platforms (AWS) for data storage or analytics workloads
- Knowledge of feature engineering and model evaluation concepts
- Experience with version control (Git)
Benefits and Perks
- Opportunity to work with a pioneering company in the fintech space
- Collaborative and innovative work environment
- Professional development and growth opportunities
- Flexible remote work arrangements
- Access to cutting-edge technologies and tools
- Competitive compensation package
- Health and wellness benefits
- Paid time off and holidays
- Remote stipend and home office setup support
How to Stand Out
- Develop a strong portfolio that showcases your experience with AI, data analysis, and collaboration, and be prepared to discuss your projects in detail during the interview process.
- Make sure you have a solid understanding of the company's mission and values, and be prepared to discuss how your skills and experience align with Airtm's goals.
- Practice communicating complex data insights to non-technical stakeholders, as this is a key aspect of the role.
- Be prepared to discuss your experience with AI agent frameworks, LLM-based tools, and other relevant technologies.
- Research the company's products and services, and be prepared to discuss how you can contribute to the development of their financial platform.
- Consider creating a personalized cover letter or video introduction to stand out from other applicants and showcase your personality and skills.
- Prepare to discuss your experience with agile development methodologies and version control systems, such as Git.
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