Data Scientist

Typical Set, LLC Position: Data Scientist Employ knowledge of the scientific process to design and implement systems to ensure data correctness and monitor data health in data stores and live feeds.

Proactively identify abnormal production behavior and communicate them clearly to relevant stakeholders.

Perform extemporaneous analyses on research and production trading systems with leadership.

Harness financial expertise, statistical analysis, and machine learning knowledge to gain actionable insights into our production trading and research systems.

Design and implement analysis pipelines that automate those analyses found to be valuable for ongoing monitoring.

This position requires a Master’s degree or equivalent in Data Science, Statistics, Computer Science, or a related field and 6 months related data science experience.

Must also have demonstrated experience with each of the following: 1) Working with complex datasets, including curation, querying, aggregation, exploratory data analysis, and visualization using a combination of SQL, Python, and R; 2) Employing financial expertise and statistical methods to analyze data, identify patterns, conduct root cause analysis, and perform hypothesis testing to derive insights and recommend solutions; 3) Working with Linux operating system, Airflow workflow automation tool, GitHub, and cloud platforms including AWS and GCP; 4) Working with large scale machine learning models and conducting analysis on features, models, and decision rules; and 5) Developing and maintaining automated data processing, modeling, simulation, and analysis pipelines using Python and R.

Will accept experience gained before, during, or after Master’s program.

Employer will accept experience gained concurrently.

Salary: $130,000 to $150,000/year.

To apply, email resume to and reference requisition #DS2535.