Scientist - Biotech jobs in Baton Rouge, LA

DATA SCIENTIST

JOB RESPONSIBILITIES:

• Use data science skillset to improve the Code Willing platform. This can include anything from budget forecasting to ETL pipeline optimization.
• Perform research on various data science technologies and platforms. The purpose of this research is to find ways to improve existing technologies used by Code Willing and their clients.
• Complete research projects for clients. These projects can range from exploring new data set vendors to developing machine learning models.
• Use statistical and machine learning techniques to perform data quality and anomaly detection on the data sets produced by Code Willing.
• Write documentation and white papers for completed research projects.
• Present to clients upon completion of projects or release of new data sets.

MINIMUM QUALIFICATIONS:

• Bachelors degree or equivalent experience in a quantitative field such as Computer Science, Mathematics, Statistics, Economics, or Finance
• Proficient in Python and/or R
• Proficient in SQL and working with large-scale databases
• Basic knowledge of statistics (hypothesis testing, ARIMA, time series analysis, and probability)
• Basic Knowledge of a variety of machine learning techniques (clustering, classification, regression, decision trees and etc.)
• Strong communication skills (written and oral)

PREFERRED QUALIFICATIONS:

• Masters degree or higher or equivalent experience in a quantitative field such as Computer Science, Data Science, Analytics, Mathematics, Statistics, Economics, or Finance
• 2 years of experience with data science packages like Pandas, Numpy, and Matplotlib
• 2 years of experience with Machine learning packages like Scikit Learn, XGBoost, CatBoost, and LightGBM
• 2 years of experience with Deep Learning libraries like PyTorch or Tensorflow
• 2 years of experience scripting in a Linux environment (Python, Bash, Fish, Zsh, etc.)

NICE TO HAVE:

• Knowledge of other programming languages like C/ C , JavaScript, Scala
• Experience with Docker
• Experience with Git
• Experience working with financial data
• Experience working with big data technologies like Spark
• Experience working with cloud technologies like AWS
• Experience building and optimizing ETL pipelines
• Knowledge of Quantitative Analysis

LOCATION: