Job summary
SPS Inventory Management service teamExecutes planning, automation and operational workstreamsEnables new business models and works with specialty businesses
Job seniority: mid-to-senior level
Responsibilities
• Demonstrate technical knowledge on feature engineering and model building• Proficiency in supervised and unsupervised algorithms• Understand business reality and develop meaningful solutions• Work closely with internal stakeholders• Innovate modeling techniques and procedures• Passionate about working with huge datasets• Implement and operate stable, scalable data flow solutions• Work with distributed machine learning algorithms• Have basic Data Engineering skills• Deployment of models in AWS environment
Requirements
• 2+ years of Data Scientist experience• 3+ years of data querying languages, scripting languages, or statistical/mathematical software experience• 3+ years of machine learning and statistical modeling experience• Experience applying theoretical models in an applied environment
Key Skills Needed
• Technical knowledge on feature engineering• Model building• Supervised and unsupervised algorithms• Data querying languages (e.g. SQL)• Scripting languages (e.g. Python)• Statistical/mathematical software (e.g. R, SAS, Matlab, etc.)• Machine learning and statistical modeling• Data analysis tools and techniques• Data engineering• AWS environment