Equifax
Data Scientist - Intermediate
Equifax, West Des Moines, Iowa, United States, 50265
Equifax is where you can power your possible. If you want to achieve your true potential, chart new paths, develop new skills, collaborate with bright minds, and make a meaningful impact, we want to hear from you.
What you will do
Utilize combined knowledge of data structures, analytics, algorithms/models, and strong computer science fundamentals to prepare datasets, conduct analytics, and develop deployable solutionsAble to analyze and prepare complex and new data sources and incorporate them into analytical solutions.Works on moderate complexity tasks in problems often within multiple business or analytical domains, collaborating with other teams to develop predictive models, risk assessments, fraud detection, recommendation engines, etc.Package, summarize and visualize analytical findings and results for managementDevelop and deploy AI and ML solutions on Google Cloud PlatformsInvent and integrate data and model visualizations for big data machine learning modelsWhat experience you need
B.S. or higher degree required in Mathematics, Statistics, Computer Science, Economics, Operations Research, or Industrial Engineering with a focus on machine learning coursework2+ years of experience (or education) in a related analytical fieldPython and SQL coding skillsWhat could set you apart
Master's degree or higher in Mathematics, Computer Science , Engineering, Operations Research, Statistics or other related discipline a definite plusCloud experience using GCPExperience with BigQuery, BigQuery ML, Vertex AI, Google Cloud Storage, Apache AirflowExperience with Neural Networks, Gradient Boosted Machines, and Random Forests algorithmsExperience with NLP or Unstructured Data
We offer comprehensive compensation and healthcare packages, 401k matching, paid time off, and organizational growth potential through our online learning platform with guided career tracks.
Are you ready to power your possible? Apply today, and get started on a path toward an exciting new career at Equifax, where you can make a difference!
Primary Location:USA-Des Moines
Function:Function - Data and Analytics
Schedule:Full time
What you will do
Utilize combined knowledge of data structures, analytics, algorithms/models, and strong computer science fundamentals to prepare datasets, conduct analytics, and develop deployable solutionsAble to analyze and prepare complex and new data sources and incorporate them into analytical solutions.Works on moderate complexity tasks in problems often within multiple business or analytical domains, collaborating with other teams to develop predictive models, risk assessments, fraud detection, recommendation engines, etc.Package, summarize and visualize analytical findings and results for managementDevelop and deploy AI and ML solutions on Google Cloud PlatformsInvent and integrate data and model visualizations for big data machine learning modelsWhat experience you need
B.S. or higher degree required in Mathematics, Statistics, Computer Science, Economics, Operations Research, or Industrial Engineering with a focus on machine learning coursework2+ years of experience (or education) in a related analytical fieldPython and SQL coding skillsWhat could set you apart
Master's degree or higher in Mathematics, Computer Science , Engineering, Operations Research, Statistics or other related discipline a definite plusCloud experience using GCPExperience with BigQuery, BigQuery ML, Vertex AI, Google Cloud Storage, Apache AirflowExperience with Neural Networks, Gradient Boosted Machines, and Random Forests algorithmsExperience with NLP or Unstructured Data
We offer comprehensive compensation and healthcare packages, 401k matching, paid time off, and organizational growth potential through our online learning platform with guided career tracks.
Are you ready to power your possible? Apply today, and get started on a path toward an exciting new career at Equifax, where you can make a difference!
Primary Location:USA-Des Moines
Function:Function - Data and Analytics
Schedule:Full time