Data Scientist
Remote
Applications have closed
Ava Labs
Ava Labs makes it simple to deploy high-performance solutions for Web3, led by innovations on Avalanche.Want to be a part of the fastest-growing blockchain company? Ava Labs makes it simple to launch applications using Avalanche, a smart contracts platform with 800k+ monthly active users. Avalanche is the fastest blockchain, measured by time to finality, and one of the fastest-growing in crypto – with hundreds of dapps and $12B+ in total economic value locked.
Founded by the creators of Avalanche, Ava Labs strives to digitize every asset in the world. In addition to building Avalanche and other tools to support the ecosystem, we offer expertise to ensure that all individuals and organizations can seamlessly use Avalanche and its vibrant app ecosystem. Join us as we empower people to easily and freely digitize all the world’s assets on one open, programmable blockchain platform.
We are looking for an experienced Data Scientist to join our growing world-class Data Science team and design/deliver/transform product and operational analytics, data visualization, enhanced data analysis and scientific modeling that will enhance our organizational decision making and business processes. The ideal Data Scientist will be an integral part of our growing organization and have the opportunity to work collaboratively with Product, Marketing, Finance and Engineering teams to identify, define and launch strategic and operational data science initiatives while executing on our vision to improve our core user experience.
WHAT YOU WILL DO
- Collaborate with Product, Marketing, Finance and Engineering teams to identify, define and launch strategic and operational data science initiatives to improve core user experience
- Help design and analyze experiments to understand ecosystems, user behaviors, and long-term trends
- Build key data sets to empower operational and exploratory analysis
- Advocate for standard methodologies across the organization
- Own the definition, evaluation and reporting of key product metrics
- Communicate narratives with data to multiple audiences, ranging from product managers to technical leads
- Sit at the intersection between Product, Marketing, Finance, Engineering, and leadership to inform, influence, and help execute our product strategy
WHAT YOU WILL BRING
- Degree in a quantitative field such as Statistics, Economics, Applied Math, Operations Research or Engineering (advanced degrees preferred)
- 3+ years of industry experience in a data science or product analytics role
- Proficiency in SQL - able to write structured and efficient queries on large data sets
- Experience in programming, especially with data science and visualization libraries in Python
- Experience in causal inference and advanced experimentation methods
- Practical experience in applied statistics and data science methodologies (e.g. data modeling and predictive analytics, multivariate regression analysis, machine learning)
- Strong oral and written communication skills, and ability to collaborate with and influence cross-functional partners
- Demonstrable depth of knowledge in blockchain, crypto and DeFi (independent learning or professional)
#LI-Remote #LI-RP1
WHY AVA LABS?
We're a global, world-class team of experts in computer science, economics, finance, marketing, and law with offices in New York City and Miami. We're highly passionate about Web3 and redefining the way people build and use finance and decentralized applications of all kinds. The company received early-stage funding from Andreessen Horowitz, Initialized Capital, and Polychain Capital, with angel investments from Balaji Srinivasan and Naval Ravikant.
Ava Labs is committed to diversity in the workplace and we’re proud to be an Equal Opportunity Employer. We do not hire on basis of race, color, religion, creed, gender, national origin, citizenship, age, disability, veteran status, marital status, pregnancy, parental status, sex, gender expression or identity, sexual orientation, or any other basis protected by local, state or federal law. All employment is decided on the basis of qualifications, merit, and business need.
* Salary range is an estimate based on our AI, ML, Data Science Salary Index 💰
Tags: Blockchain Causal inference Computer Science Crypto Data analysis Data visualization Economics Engineering Finance Machine Learning Python Research SQL Statistics
Perks/benefits: Startup environment
More jobs like this
Explore more AI, ML, Data Science career opportunities
Find even more open roles in Artificial Intelligence (AI), Machine Learning (ML), Natural Language Processing (NLP), Computer Vision (CV), Data Engineering, Data Analytics, Big Data, and Data Science in general - ordered by popularity of job title or skills, toolset and products used - below.
- Open AI Engineer jobs
- Open Lead Data Analyst jobs
- Open MLOps Engineer jobs
- Open Senior Business Intelligence Analyst jobs
- Open Data Engineer II jobs
- Open Sr Data Engineer jobs
- Open Data Manager jobs
- Open Principal Data Engineer jobs
- Open Power BI Developer jobs
- Open Data Analytics Engineer jobs
- Open Junior Data Scientist jobs
- Open Business Intelligence Developer jobs
- Open Product Data Analyst jobs
- Open Senior Data Architect jobs
- Open Data Scientist II jobs
- Open Sr. Data Scientist jobs
- Open Manager, Data Engineering jobs
- Open Business Data Analyst jobs
- Open Big Data Engineer jobs
- Open Data Analyst Intern jobs
- Open Data Quality Analyst jobs
- Open Principal Data Scientist jobs
- Open Data Product Manager jobs
- Open Junior Data Engineer jobs
- Open ETL Developer jobs
- Open Data quality-related jobs
- Open Business Intelligence-related jobs
- Open GCP-related jobs
- Open ML models-related jobs
- Open Data management-related jobs
- Open Privacy-related jobs
- Open Java-related jobs
- Open Finance-related jobs
- Open Data visualization-related jobs
- Open APIs-related jobs
- Open Deep Learning-related jobs
- Open PyTorch-related jobs
- Open Consulting-related jobs
- Open Snowflake-related jobs
- Open TensorFlow-related jobs
- Open PhD-related jobs
- Open CI/CD-related jobs
- Open NLP-related jobs
- Open Data governance-related jobs
- Open Kubernetes-related jobs
- Open Airflow-related jobs
- Open Hadoop-related jobs
- Open Databricks-related jobs
- Open LLMs-related jobs
- Open Data warehouse-related jobs