Data Scientist

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.
We encourage applicants from all locations in the US to apply. This role is remote or hybrid flexible, as we have offices in New York City, Northern California, and Bozeman.

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 with stock options
• Comprehensive medical, vision, and dental insurance
• 401k matching
• Fitness and wellness stipend
• Mobile phone reimbursement
• Mental well-being benefits
• Professional learning and development stipend
• Parental leave, including adoptive and foster parents
• 3 weeks paid time off (increases with tenure) and unlimited sick leave

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 careers@asapp.com to obtain assistance.
Please note this role is open to candidates outside of Colorado as well. The information below is provided for those hired in Colorado only.If you are a Colorado applicant:- The estimated pay range for this role, based in Colorado, is $130,000 - 170,000.- For Sales positions: this role is eligible to earn commissions and eligible to participate in ASAPP's equity plan.- For Non-Sales positions: this role is eligible to participate in ASAPP's equity plan.The actual salary may be different depending upon non-discriminatory factors such as qualifications, experience, and other factors permitted by law. The range listed is just one component of ASAPP’s total compensation package; other rewards may include short- and long-term incentives, including the benefits listed above. #LI-SL1 #LI-Remote