As a Data Science Associate, you'll utilize quantitative & statistical techniques to drive business-model and product innovation for Via. This is an entry level role and we will consider exceptional applicants without prior work experience.
**While we encourage the use of smart AI in our work, we want to get to know your authentic and human self during the interview process. We do not encourage any AI usage in applications, application questions, or interview settings outside of live or take home coding sessions.**
What You'll Do:
- Use statistical modeling to make inferences and predictions, for example about the behavior of drivers and riders in our deployments.
- Gain an understanding of entity-relationship models, help organize data at Via, and build custom datasets for internal and external stakeholders.
- Hone your presentation and communication skills by giving regular reports on your progress and findings.
Who You Are:
- Have a Bachelor’s or Master’s degree from a top-tier university in neuroscience, physics, biology, math, economics, computer science, operations research, or other highly quantitative field, and a record of exceptional academic achievement.
- Are hungry for knowledge. You enjoy reading and understanding scientific textbooks, and often build toy implementations of new techniques to see how they function.
- Have conducted scientific research as an undergraduate, completing at least one project that was heavy in the analysis of interesting data and/or utilized statistical modeling and/or stochastic simulations, in either an academic environment or during an internship.
- Have written at least 2,000 lines of high-quality functional or object-oriented code in Python or other language suitable for data analytics.
- Are a natural relationship builder that values camaraderie, comes with a sense of humor, and doesn't take themselves too seriously.
- Can think on your feet and are curious, coachable, and self-motivated.
- Are an extraordinary communicator with demonstrated writing, editing and visualization skills
What Catches Our Eye:
- Prior experience with SQL is a plus.
- Authorship of one or more high-impact publications is a plus.
