Data Scientist

Swire Coca Cola•Draper, UT

24d•Onsite

About The Position

Swire Pacific Holdings, Inc. DBA Swire Coca-Cola, USA seeks a Data Scientist to conduct data science and advanced analytics for a large manufacturing and retail company. This role will employ Artificial Intelligence and Machine Learning techniques across all business channels, customer and consumer segments, markets, and products. The goal is to pursue use cases to analyze and drive revenue, lower costs, increase speed, and reduce risk. The Data Scientist will use Databricks to transform raw data into cognizable information, and apply statistical analysis and advanced machine learning techniques to build descriptive, diagnostic, and predictive models. They will also use ML Ops to deploy models and PowerBI for business reporting and dashboards to enable decision making. The role involves evaluating the implications of findings on business outcomes, and communicating and documenting work. Python and SQL will be used to model real-world outcomes, and PySpark will be employed for distributed data processing on the Cloud. Agile methodology will be used for continuous improvement and development.

Requirements

Master’s degree in Business Analytics or an equivalent field.
2 years of experience as a Data Scientist.
Proficiency with Power BI.
Proficiency with Databricks.
Proficiency with Supervised and Unsupervised Machine Learning.
Proficiency with SQL.
Proficiency with Python.
Proficiency with PySpark.
Proficiency with Statistical Analysis.
Proficiency with Predictive Analysis.
Proficiency with Agile Methodology.

Responsibilities

Conduct data science and advanced analytics for a large manufacturing and retail company.
Employ Artificial Intelligence and Machine Learning techniques across all business channels, customer and consumer segments, markets and products.
Analyze and drive revenue, lower costs, increase speed, and reduce risk through use cases.
Transform raw data into cognizable information using Databricks.
Build descriptive, diagnostic, and predictive models using statistical analysis and advanced machine learning techniques.
Deploy models using ML Ops.
Create business reports and dashboards using PowerBI to enable decision making.
Evaluate implications of findings on business outcomes.
Communicate and document work.
Model real-world outcomes using Python and SQL.
Perform distributed data processing on the Cloud using PySpark.
Utilize Agile methodology for continuous improvement and development.