Role overview
We are a diverse team that takes pride in understanding the perspectives of others. We fully embrace working remotely and we are eager to act, improve and accelerate progress inside and outside of our organization.
To drive revolutionary changes in society and make crypto useful, we delight our customers with world-class products, deep care, and intentional empathy.
As a Staff Data Scientist, your primary goal is to translate concepts into machine learning products that directly benefit our users. You'll spearhead impactful data science initiatives throughout the project life cycle, from initial requirements gathering and stakeholder alignment to model creation, deployment, and ongoing performance monitoring and refinement. Your leadership within the ML team will be pivotal, as you'll serve as a role model for your colleagues.
What you'll work on
- Have a degree in a quantitative field such as mathematics, data science, actuarial science or economics.
- An advanced degree (Masters or Ph.D.) in Mathematics, Computer Science, Data Science, or Machine Learning and 3+ years of industry experience or 5+ years of experience as a data scientist.
- A proven track record of machine learning solutions that translated into value.
- Experience in both supervised and unsupervised modeling.
- Strong proficiency in SQL.
- Strong proficiency in R or python.
- Understanding of big data manipulation tools such as Spark or Koalas.
- Strong ability to stay current on the latest advancements of machine learning and AI.
- Understanding of software engineering best practices, including version control, code reviews and automatic testing.
- Strong communication skills and the ability to convey complex technical concepts to both technical and non-technical stakeholders.
What we're looking for
- Understanding of quantitative finance techniques such as time series analysis and extreme value theory.
- Understanding of monte carlo and markov chain techniques
- MLOps best practices experience.
- Databricks experience.
- Experience with GenAi modeling flows.