Join our team at ASAPP, where we're developing transformative Vertical AI designed to improve customer experience. Recognized by Forbes AI 50, ASAPP designs generative AI solutions that transform the customer engagement practices of Fortune 500 companies. With our automation and simplified work processes, we empower people to reach their full potential and create exceptional experiences for everyone involved. Work with our team of talented researchers, engineers, scientists, and specialists to help solve some of the biggest and most complex problems the world is facing.
In this role, you will apply techniques from machine learning and modern statistics to data from ASAPP products and our customers. You will identify questions, and develop and apply approaches to solve problems that are central to our product and our customers.
If you love an environment of deep thinking, impactful research, startup-paced execution, and strong collaboration with all parts of an organization, ASAPP is an ideal environment for you. Please note that we are looking for candidates in and around Buenos Aires, who would be open to some occasional in person work.
What you'll do
- Use modeling to develop a deep understanding of how our product provides value to our customers, and to identify and quantify opportunities for creating additional value
- Collaborate with Product and Tech teams to evaluate the effectiveness of current features, and identify new opportunities
- Work with a broader team of researchers, engineers, product managers, and customer-facing groups
- Develop experimental designs to answer questions, and perform analysis of the results
- Apply causal inference approaches to maximize the data we have on hand
What you'll need
- Ability to present data science results and recommendations to cross-functional teams
- Expertise in modern statistics/data science/machine learning
- Expertise in a statistical programming language (we use Python and R internally) and data access tools (e.g., SQL)
What we'd like to see
- Experience with machine learning (e.g. xgboost, generalized linear models, additive models, clustering, factorization machines, etc), deep learning (PyTorch a plus), statistics (experimental design, estimation, testing), and LLMs
- Experience with Probabilistic Programming Languages (PPL) like Stan and Pyro
- Graduate Degree with a background in statistics and machine learning, and/or applied social sciences or equivalent work experience
- Ability to maintain a fun, casual, professional, and productive team atmosphere
- Communication in a courteous, tactful, and concise manner
- Enthusiasm and desire to thrive in an atmosphere of constant change
Benefits
- Competitive compensation
- Stock options
- Healthcare for the family group
- Wellness perks
- Mac equipment
- Learning & development stipend
- 3 weeks of vacation
- English lessons
ASAPP is committed to creating a diverse environment and is proud to be an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, gender, gender identity or expression, sexual orientation, national origin, disability, age, or veteran status. If you have a disability and need assistance with our employment application process, please email us at
[email protected] to obtain assistance.
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