Coinalytics Co.: Sr. Machine Learning Engineer / Data Scientist

Company: Coinalytics Co.
Location: Palo Alto, CA
Web: www.coinalytics.co


_Contact_:
Apply at: join@coinalytics.co

Contact: founders@coinalytics.co

Driven by the vision of decoding the world's most powerful dataset, Coinalytics has developed an end-to-end intelligence platform, where we combine a variety of datasets and analytics to provide actionable insights and operational intelligence to the Bitcoin industry.

Our path-breaking platform brings real-time machine learning and graph analytics capabilities to the blockchain. Coinalytics provides pragmatic and data-driven solutions to the worlds of payments, financial services and the Internet of Things.

Founded in April 2014, we are a well-funded team of engineers and analytics specialists who build, run, and deploy customer-facing data solutions on large scale distributed computing platforms, headquartered in Palo Alto, CA.

What you'll do

• Provide solutions and collaborate with data experts, customer-facing staff, plus in-house and external engineering teams.
• Develop machine learning and graph algorithms on a distributed scalable computing platform.
• Apply machine learning and graph analytic solutions to the blockchain domain at production scale.

 
Requirements

• Masters Degree, Ph.D. preferred, in Computer Science (or closely related) with an emphasis in Machine Learning, Artificial Intelligence and Graph Algorithms.
• Comfortable analyzing complex, high volume, multi-dimensional data to drive actionable decisions in real-time.
• Capable of providing insights, predictions and recommendations from unstructured, structured, and streaming data sets.
• Programming experience in Scala, Python or comparable language.
• Familiarity with graph theory and experience developing graph algorithms.
• Experience with a wide range of machine learning techniques including supervised, unsupervised and semi-supervised learning.
• Experience with a wide range of graph analytic techniques including methods of clustering, ranking, traversal and determining centrality.
• Demonstrated expertise implementing applied machine learning (e.g., classification, optimization, prediction) and graph analytic (e.g., shortest path, knowledge discovery) solutions to interesting use cases.

 
Is a Plus

• A thorough understanding of the blockchain data model.
• Experience in deep learning.
• Experience with R, MATLAB or comparable language.
• Experience conducting performance modeling, memory optimization and optimizing space/time tradeoff decisions in high-performance distributed computing technology platforms.
• Expertise in data visualization techniques.

 
What we offer

• Become member of an early-stage startup and own your projects.
• Work on exciting big data challenges using cutting-edge technologies.
• Competitive compensation and benefits.
• Generous equity package in an early-stage startup.