Data Scientist

Swire Coca-Cola • Draper, UT

5d • 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 Data Scientist will pursue use cases to analyze and drive revenue, lower costs, increase speed, and reduce risk. Responsibilities include using Databricks to transform raw data into cognizable information, applying statistical analysis and advanced machine learning techniques to build descriptive, diagnostic, and predictive models, and using ML Ops to deploy models. The role also involves using PowerBI for business reporting and dashboards to enable decision-making, evaluating the implications of findings on business outcomes, and communicating and documenting work. The Data Scientist will use Python and SQL to model real-world outcomes, employ PySpark for distributed data processing on the Cloud, and utilize Agile methodology 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.
• Pursue use cases to analyze and drive revenue, lower costs, increase speed, and reduce risk.
• Use Databricks to transform raw data into cognizable information.
• Use statistical analysis and advanced machine learning techniques to build descriptive, diagnostic and predictive models.
• Use ML Ops to deploy models.
• Use PowerBI for business reporting and dashboards to enable decision making.
• Evaluate implications of findings on business outcomes, and communicate and document work.
• Use Python and SQL to model real-world outcomes.
• Employ PySpark for distributed data processing on the Cloud.
• Use Agile methodology for continuous improvement and development.

Benefits

• Health coverage (3 medical options, dental and vision).
• 401(k) Retirement Plan w/company match
• Health Savings Accounts w/company match
• FREE virtual primary care, acute care and physical therapy
• FREE Employee Assistance Program
• Company paid vacation
• Company paid holidays
• Company paid sick time
• Company paid bereavement
• Company paid jury duty
• Company paid maternity/parental leave
• Company paid disability leave
• Company paid volunteer time
• Discounted & free product
• Tuition reimbursement
• Opportunities for career advancement

What This Job Offers

• Job Type: Full-time
• Career Level: Mid Level