Data Scientist

Key Skills

Java Programming, Design, Python Programming, SQL, Machine learning techniques, Data science techniques, Deep Learning, PyTorch, R Programming, Statistics

Job Description

At ASAPP, we are on a mission to build transformative machine learning-powered products that push the boundaries of artificial intelligence and customer experience. We focus on solving complex, data-rich problems — the kind where there are huge systemic inefficiencies and where a real solution will have a significant economic impact. Our CX performance platform uses machine learning across both voice and digital engagement channels to augment and automate human work, radically increasing productivity and improving the efficiency and effectiveness of customer experience teams.

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.

As our operations keep growing, we encourage applicants from all locations in Uruguay to apply. 

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), and statistics (experimental design, estimation, testing).
• 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
• Blue Cross 350 Corp for the family group
• Wellness perks
• Mac equipment
• Training and development
• English lessons