Holders of the Guinness World Record for the "Largest Fireworks Display" ever recorded and "Largest Pyrotechnic Image", Fireworks by Grucci is a sixth-generation, family-owned and operated company. Known as "America's First Family of Fireworks," the Gruccis have transformed the night skies to the delight of millions across the globe since 1850. They are world-renowned for pyrotechnic artistry, scientific innovation and old-fashioned values. Their signature performances include the official celebration of the 200th Anniversary of the National Anthem “Star Spangled Spectacular,†in Baltimore, countless performances in and around Las Vegas, NV., seven consecutive U.S. Presidential Inaugurations; the Olympic Games in Beijing, Salt Lake City, Los Angeles and Lake Placid; commemorations such as the Centennial of the Statue of Liberty and star-studded extravaganzas including the grand opening of the Atlantis Dubai and the Palm Jumeirah Island in the United Arab Emirates. On New Year’s Eve 2013, a stunning performance displaying 479,651 fireworks made its debut above Dubai’s iconic skyline. The Gruccis achieved their “Largest Fireworks Display†title with this performance and smashed the Guinness Book of World Record’s preceding mark. Phil Grucci currently serves as President/CEO of Fireworks by Grucci, Inc. and Pyrotechnique by Grucci, Inc., the manufacturing entity of the Grucci group of companies.... |
Develop novel ways to help business partners achieve objectives through analysis and modelling.
Identify and test new sources of information that unlock new business value.
Curate and connect external data sets for broad enterprise-wide analytic usage.
Engineer features by using your business acumen to bin, aggregate, pivot or encode data for optimal results.
Utilize machine learning to create repeatable, dynamic, and scalable models.
Advocate and educate on the value and importance of data driven decision making and analytical methods.
Identify and develop long-term data science processes, frameworks, tools, and standards.
Partial telecommuting benefits available.
Requirements:
Employer will accept a master’s degree in data science, Computer Science, Engineering, Math or Statistics or related field and one (1) year of experience in the job offered or in a related position in the Consumer Packaged Goods industry.
Position requires one (1) year of experience in the following:
Statistical analysis, machine learning, modeling, hypothesis testing, clustering, and data mining techniques to identify trends and insights.
Python, R (Rshiny, dataframes, GGplot, Distributed Computing), Github and Tableau.
Incorporating multiple data sources in analyses (HDFS, file, database, JSON, HTML, etc).
Writing SQL queries.
Loading data into GCP, doing data transformations with BigQuery and building models using vertex AI.
Working with CPG data from sources like Nielsen and IRI.
Collaborating with cross-functional teams to integrate and implement data-driven solutions.
Merging and transforming disparate internal & external data sets together to create new features.
Background check and drug testing required.
Contact: Apply online at https://careers.generalmills.com/careers/ Please refer to job requisition number- #30440| 20330.361.4
Identify and test new sources of information that unlock new business value.
Curate and connect external data sets for broad enterprise-wide analytic usage.
Engineer features by using your business acumen to bin, aggregate, pivot or encode data for optimal results.
Utilize machine learning to create repeatable, dynamic, and scalable models.
Advocate and educate on the value and importance of data driven decision making and analytical methods.
Identify and develop long-term data science processes, frameworks, tools, and standards.
Partial telecommuting benefits available.
Requirements:
Employer will accept a master’s degree in data science, Computer Science, Engineering, Math or Statistics or related field and one (1) year of experience in the job offered or in a related position in the Consumer Packaged Goods industry.
Position requires one (1) year of experience in the following:
Statistical analysis, machine learning, modeling, hypothesis testing, clustering, and data mining techniques to identify trends and insights.
Python, R (Rshiny, dataframes, GGplot, Distributed Computing), Github and Tableau.
Incorporating multiple data sources in analyses (HDFS, file, database, JSON, HTML, etc).
Writing SQL queries.
Loading data into GCP, doing data transformations with BigQuery and building models using vertex AI.
Working with CPG data from sources like Nielsen and IRI.
Collaborating with cross-functional teams to integrate and implement data-driven solutions.
Merging and transforming disparate internal & external data sets together to create new features.
Background check and drug testing required.
Contact: Apply online at https://careers.generalmills.com/careers/ Please refer to job requisition number- #30440| 20330.361.4
