About Jeff:

Over 2 billion people in Emerging Markets lack traditional financial data, and as a result, are financially underserved. At the same time, these consumers have a tremendous amount of digital footprint around them. Jeff is a financial technology startup that addresses this issue. We build financial product comparison marketplaces that help consumers and financial service providers connect and increase the odds of cooperation through digital footprint-enabled data science and machine learning models. Our goal is to unlock financial services for the underbanked, with a clear focus on emerging economies that will drive the global economy in decades to come. Since 2020, our business has expanded to 6 countries, surpassed 10 million visits every month to our brands, and reached profitability. Jeff has been recognized as a top growth fintech by Financial Times, Statista, Deloitte, Sifted, and others. As we continue our growth and expansion, unlocking new markets and products, as well as introducing AI as a central product pillar, we are looking for great people to fortify our team further.

Senior Data Scientist - Machine Learning Engineer

Tech competences 

• Experience in solving complex statistical and data problems, ability to translate business problems in data science 
• Good understanding of appropriate analytical algorithms, models, and experience in leveraging relevant tools and methods (especially, machine learning)
• Good knowledge and experience with core programming languages (Python, PySpark, etc) and OOP
• Knowledge and experience with MLOps, DevOps processes, techniques, and tools
• Knowledge and experience with databases, data search, and extraction
• Experience with deployment, monitoring, and maintaining ML models in production, including CI/CD, retraining pipelines, and model observability (drift, performance, reliability)
• Experience designing and optimizing ML pipelines (focus on feature store, model serving frameworks)
• 5+ years of experience in roles such as Data Scientist, ML Engineer, and DevOps Engineer
• Degree in computer science, data science, software engineering, mathematics/statistics, or any STEM degree (e.g., physics, engineering, etc.)
• Successful track record in delivering end-to-end machine learning projects

Soft skills

• As a professional, you have a strong innovation drive and can-do attitude
• Communication skills 
• You are expected to be an expert in your field and constantly keep up with the trends and technologies 
• You are expected to actively support and knowledge-share with others in the area of advanced analytics and data science, and be able to work across the data, business, and IT functions with various subject matter experts 

 About the role

As a member of the Jeff App Data Team, you will be part of the team supporting sales, customer engagement, and development of various data services and data products in Asia and Latin America. As a Senior Data Scientist/ML Engineer, you have a central role in expanding Jeff App's data science models portfolio by leveraging machine learning and other advanced methods. You will also be driving MLOps technologies and practices development. You will work closely with the data engineer and DevOps team to support the deployment of machine learning models by using robust MLOps, DevOps technologies, and practices. 

In the coming year, we will focus on continuing to scale up and expand the development and operationalization of a variety of real-time models. We focus on further upgrading MLOps and the associated tech stack using various technologies and tooling in the cloud.

This role provides excellent opportunities to gain an in-depth understanding and unique exposure to data, digital experience, and associated technologies, driving financial services and customers in such a unique, large, and fast-growing market as Asia.

What we offer: 

• Equipment of your preference
• Knowledgeable, driven, and truly experienced team
• Vacation policy that fully covers annual leave and National holidays in line with your residence country’s standards
• Team building events, both online and offline
• Competitive salary as well as opportunity to earn more via good performance (cash or stock - you choose!)
• Early-stage startup hunger and ambition, combined with stability, as we have reached profitability
• High energy - as a growing startup, no day is the same
• Unlimited growth - as the company grows, you grow with us! 

Our Values:

• Walk the talk: We not only understand what to do but are able to execute it
• Integrity: We are reliable, trustworthy, and accountable professionals who respect each other
• 10x Mentality: We tackle massive markets with bold ambition and solutions
• Action over perfection: We make informed decisions quickly and iterate as we go
• Always be solving, always be building: We are problem solvers, not just problem finders
• Own it: We take full responsibility for our work and ensure everything possible is done to deliver outcomes