Data Scientist

Swire Coca-Cola, USA

$90K — $120K *
Enterprise Technology
Less than 5 years of experience
Job Overview by Ladders

Qualifications

  • Master's degree in Business Analytics or equivalent field
  • 2 years of experience as a Data Scientist
  • Proficient in Power BI for business reporting
  • Experience with Databricks for data transformation
  • Familiarity with Supervised and Unsupervised Machine Learning techniques
  • Skilled in SQL and Python for modeling
  • Proficient in PySpark for Cloud-based data processing

Responsibilities

  • Conduct data science and advanced analytics to drive business improvements
  • Employ AI and Machine Learning across various business channels
  • Analyze use cases to enhance revenue and reduce costs
  • Transform raw data into actionable insights using Databricks
  • Build predictive models using statistical analysis and machine learning
  • Deploy models using ML Ops effectively
  • Communicate findings and document processes for business evaluation

Benefits

  • Opportunity to work in a dynamic manufacturing and retail environment
  • Collaborative team culture focused on continuous improvement
  • Access to advanced analytics tools and technologies
  • Exposure to real-world business challenges and solutions
  • A chance to contribute to significant revenue and cost-saving projects
Full Job Description
Swire Pacific Holdings, Inc. DBA Swire Coca-Cola, USA seeks a Data Scientist to conduct data science and advanced analytics for 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. #LI-DNI Position requires a Master's degree in Business Analytics or an equivalent field, and 2 years of experience as a Data Scientist. Proficiencies must include a minimum of: experience with Power BI; experience with Databricks; experience with Supervised and Unsupervised Machine Learning; experience with SQL; experience with Python; experience with PySpark; experience with Statistical Analysis; experience with Predictive Analysis; and experience with Agile Methodology. #LI-DNI Job location: Draper, UT. Alternatively, please send your resume, cover letter, and a copy of the ad to: Amber Ivie, 12634 South 265 West, Draper, UT 84020. Come and join our Sparkling team!

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