Data Science Intern

Summary

The job is for a data science intern at Overbond, a company specializing in AI-driven bond trading automation. The role involves working on big data analytics, machine learning, and predictive modeling to improve product decision-making and provide actionable business insights.

Requirements

• Currently completing Bachelors or Masters degree in relevant disciplines (Mathematics, Computer Science, Statistics or other quantitative related discipline)
• Some experience in data mining, machine learning and statistical modeling
• Solid knowledge in regression, time series analysis, tree methods, neural network, sampling
• Proven track record of building and demonstrating business value from predictive models and data products
• Highly proficient in building statistical and algorithmic models with complex and large data sets such as supervised statistical learning, times-series analysis, regression analysis, data visualization and deep learning
• Capability to architect highly scalable distributed systems, using different open source tools
• Coding experience in SQL or Python or R
• Experience with AWS Kinesis, DynamoDB, Lambda, Redshift, Glue, Athena and Airflow

Responsibilities

• Collect, analyze and visualize colossal datasets using a variety of emerging technologies
• Assist in design, build and maintain an expanding set of robust predictive models and applications
• Contribute towards data science initiatives to recommend actionable business insights using big data analytics and machine learning techniques

Preferred Qualifications

• An entrepreneurial mindset, likes working in an agile environment, driven to ship frequently
• Excellent communication and interpersonal skills
• Team-oriented, pragmatic, self-starting
• Likes to learn and grow with teammates in a highly collaborative and open environment
• Understanding of, or interest in, finance and investments

Benefits

• Opportunity to work on a real product with very demanding paying enterprise clients
• Learning and self-development opportunities through online courses and knowledge sharing lecture sessions
• Extended health coverage (Dental, Vision, Drug plan and other medical services)
• Life Insurance and AD&D coverage
• Paid vacation days, sick days, personal/ emergency days and extended long weekends
• Monthly team lunches and social events (hosted virtually in light of Covid restrictions)