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.
Apply NowSimilar Jobs
September 16
Pathward
1001 - 5000
Develop quantitative models for credit outcomes at a financial empowerment company.
September 15
Zoetis
10,000+
Support Zoetis' analytics strategy through data science use cases and solutions.
September 14
Smarsh
1001 - 5000
Analyze unstructured data for Smarsh, developing machine learning solutions.
🇺🇸 United States – Remote
💰 Private Equity Round on 2016-01
⏰ Full Time
🟢 Junior
📊 Data Scientist
🗽 H1B Visa Sponsor
September 10
Horace Mann
1001 - 5000
Drive insights for educators' financial strategies using advanced analytics.
August 30
iBusiness Funding
201 - 500
Develops credit risk strategy to support profitable growth in SME lending.