Almanak Blockchain Labs is a data science & research-oriented company, dedicated towards understanding and designing the next generation of decentralized networks.
We use agent based simulations to optimize and improve top tier decentralized finance & gaming protocols - our ultimate objective is to use cutting edge data modeling to maximize their profitability while simultaneously ensuring economic security.
Our culture is centered around disciplined pursuit of knowledge, meritocracy, impact on our partner’s businesses and data-backed performance. We are a collective of execs and technologists from companies such as Google, McKinsey, Uber, EY or DBS Bank.
At Almanak, we utilize knowledge, data and robust techniques from the algorithmic trading industry to advise key web3 builders and decision makers.
Currently we are seeking a Data Scientist with expertise in machine learning and web3 to join our product team and facilitate the creation and shipment of cutting edge products and innovation.
This role would suit someone who has worked in a data science role within an enterprise-oriented industry, a cryptocurrency company, or has a strong interest to apply a strong data science background in a cryptocurrency project.
Who you are:
An ideal team member is:
Highly interested in cryptocurrencies, Decentralized Finance (DeFi) and all things web3. You already have a good grasp of the crypto space concepts and mechanisms.
Ambitious, independent, proactive and naturally curious.
Performance oriented and does everything to “get things done”.
Comfortable working in a fast-paced environment.
Hungry to learn more and impact the world of DeFi protocols and DAO governance.
Analyze raw data: assessing quality, cleansing, and structuring for downstream processing.
Design and run experiments in our custom simulation infrastructure to optimize DAOs economics and decision making process.
Collaborate with Engineering to bring analytical prototypes to production.
Build dashboards and create data visualizations that advise Defi and Gaming protocols on risk and capital efficiency management.
Participate in product strategy sessions and support the team from the earliest initial stages.
Fluent in English, written and spoken, especially in the data-science related vocabulary.
3+ years prior professional experience as a data scientist.
Domain expertise in at least one of the following: Financial machine learning, reinforcement learning, complex system control, graph theory, bayesian and causal networks, evolutionary algos, advanced data visualization.
Solid mathematical background.
Solid experience with main Python frameworks.
Experience with stochastic modeling.
Good understanding of DeFi / crypto financial primitives and the web3 landscape.
Prior experience with high frequency trading software development.
Understanding of Defi / Crypto exploits vectors and risks.
Compensation & benefits:
Compensation: You’ll be receiving a competitive compensation, consisting of either fiat/crypto remuneration and an equity package in the core Almanak holding. Team members are also eligible for attractive yearly bonuses (consisting of fiat/crypto) upon positive yearly performance.
Impact: You’ll work with some of the smartest people in the space and play a pivotal role in influencing the way some of the most popular crypto applications are built.
Learning: You’ll benefit from the cumulative knowledge of the entire A-class Almanak team, as well as our extended network. The company holds regular sessions during which collective crypto Alpha is discussed.
Flexible schedule: You’ll be able to work remotely and manage your own time. We want you to work from a place that makes you the happiest, and contributes to your overall well being. Happy team means a strong team.
Unlimited potential: Our company values knowledge and strategized impact first - you’ll have a chance to adopt new responsibilities and greatly influence the organization with your creativity.
Intellectual freedom: You’ll have freedom to develop novel models and frameworks for innovative financial products and turn ideas, theories and research into implementations with real impact.
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