What You’ll Do:

• • Design, implement, test and maintain backend components: application, data, infrastructure, analytics and deployment
  • Design and build systems with automated instrumentation and monitoring
  • Design and Implement RESTful APIs for our merchants
  • Live and breathe reliability and up-time
  • Consistently improve maintainability and stability of the codebase
  • Identify and resolve performance and Scalability issues

WHAT WE LOOK FOR:

• • Passion and drive to change financial investing for the better
  • Experience with Java or any other backend language (such as Python,C, C++, C#)
  • Experience with MySql or any other online data stores.
  • Experience with Hadoop or NoSql data stores.
  • Experience with at-least one scripting language such as Python.
  • Passion for agile, test-driven development, continuous integration and automated testing
  • Solid understanding of distributed systems and functional programming paradigms
  • BS,MS or PhD in Computer Science or a related technical field preferred

Data Scientist

What You’ll Do:

• • Develop scientifically rigorous, creative methodologies to continuously improve our machine learning models
  • Incorporate machine learning and data-driven decisioning into the core of our infrastructure
  • Contribute to design and automation of model training, model post-processing and evaluation pipelines at scale
  • Leverage the extensive data generated by us in addition to data from external sources to generate structured knowledge about our feature space
  • Present your results internally and externally;defend your methodology and incorporate feedback from internal teams as well as customers.
  • Improve model performance by identifying failure modes using supervised and unsupervised learning techniques
  • Ideate and implement data-driven methodologies to help scale model performance across geographical, climatic, and temporal dimensions
  • Implement automated solutions for ensuring data quality and delivery
  • Explore and mine new data sources that will help optimize and validate our models
  • Link model capabilities to market needs by customizing models, designing and running validation studies to peer mentorship, knowledge bases, and skills transfer

WHAT WE LOOK FOR:

• • Graduate degree in a STEM field (PhD preferred but not required) and 1-3 years of hands-on industry experience
  • Solid knowledge of statistical techniques, including hypothesis testing, statistical sampling, significance testing, statistical inference, maximum likelihood estimation, and experimental design, among others.
  • Mastery of, supervised and unsupervised algorithms and their implementations, machine learning concepts including regularization, learning curves,  optimizing hyperparameters, cross-validation, among others.
  • Advanced knowledge and significant programming experience in Python programming or other scripting language including relevant libraries like numpy, pandas, SciPy, matplotlib
  • Familiarity with the Linux environment including shell scripting, Git and tools for reproducibility (e.g.  virtual environments, Docker )
  • Demonstrated expertise in building data tools for ETL and data analysis
  • Experience in building meaningful data visualizations using at least one scripting-based visualization tool such as matplotlib, d3.js or bokeh
  • Nice to haves: Experience designing data schemas and extracting data from SQL and NoSQL databases. Experience with GIS systems. Experience with modern data technologies, e.g. Spark, Tensorflow, Jupyter Notebook, Docker.
  • Experience with cloud computing on AWS or GCP