Data Scientist II - eComm Relevance
September 16
Description
• Build machine learning models to improve products and outcomes. • Research data for product/service improvement. • Employ machine learning techniques and perform predictive analyses. • Conduct advanced research using primary data sources. • Create basic machine learning algorithms to identify patterns. • Support collection of functional requirements clearly and succinctly. • Use source control systems and write production-supportable code. • Explore external developments for organizational impact. • Participate in ongoing education and training for performance improvement.
Requirements
• Bachelor's Degree or equivalent level preferred. • Experienced practitioner able to work unsupervised (13 months to 3 years).
Benefits
• Generous suite of benefits. • Competitive total rewards package including incentives, equity and benefits.
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