Data Scientist

Reyes Holdings•Rosemont, IL

83d

About The Position

The Data Scientist will apply a variety of methods including data mining, statistical analysis, predictive modeling and analysis, correlation analysis, probability analysis, and network analysis to solve business problems. This role involves developing and implementing machine learning models, delivering accurate and quality analyses that translate data into actionable insights to support sound business decisions. The Data Scientist will use the most effective machine learning techniques to answer data science questions, define data requirements for model development, develop models, and evaluate model performance. Project documentation, including business objectives, data gathering and processing, leading approaches, final algorithm, detailed set of results and analytical metrics, is a key responsibility. The role also includes working with peers, Senior Data Scientists and Data SMEs to produce correct modeling techniques, and documenting lessons learned and process improvement techniques. Other duties as assigned.

Requirements

Bachelor’s Degree in Data Science, Applied Mathematics, Computer Science, Statistics, Business Analytics or a field closely related to Data Science specialization and 3 to 5 years of experience in quantitative or computational functions
High School Diploma/General Education Diploma and 6 to 8 plus years of experience in quantitative or computational functions

Nice To Haves

Master’s Degree in Data Science, Applied Mathematics, Computer Science, Statistics, Business Analytics or a field closely related to Data Science specialization
Understanding of data structures, algorithms, and distributed computing, both for data and optimization
Familiarity to AI, Machine Learning NLP, including new and emerging technologies in Machine Learning/Deep Learning
Knowledge of frameworks such as PyTorch, TensorFlow, MLflow Caffe etc.
Exposure to Geo Spatial Data, Demography Data
Experience with SQL Development, Stored Procedures, Data Analysis and Data Profiling
Experience with Snowflake, Databricks, Azure ML Cloud Services

Responsibilities

Apply a variety of methods including data mining, statistical analysis, predictive modeling and analysis, correlation analysis, probability analysis, and network analysis to solve business problems
Develop and implement machine learning models and deliver accurate and quality analyses that translate data into actionable insights to support sound business decisions
Use the most effective machine learning techniques to answer data science questions, define data requirements for model development, develop models, and evaluate model performance
Document projects including business objectives, data gathering and processing, leading approaches, final algorithm, detailed set of results and analytical metrics
Work with peers, Senior Data Scientists and Data SMEs to produce correct modeling techniques
Document lessons learned and process improvement techniques
Other duties as assigned