What are the responsibilities and job description for the Marketing Data Scientist/Analyst - W2 Contract position at Blend360?
Company Description
Blend360 is a world class marketing, analytics, and technology company that delivers the best results for our clients. Our primary focus is Data Sciences; leveraging data and applied mathematics to solve our clients' business challenges. Blend360 is known for our exceptional people, our get-it-done mentality, and delivering high impact and sustainable results. If you love to solve difficult problems and deliver results; if you like to learn new things and apply innovative, state-of-the-art methodology, join us at Blend360.
Job Description
We are looking for a Lead Marketing Analyst to join our team as a contractor. At Blend our Data Scientists work with business leaders to solve our clients' business challenges. We work with clients in marketing, revenue management, customer service, inventory management and many other aspects of modern business. Our Data Scientists have the business acumen to apply Data Science to many different business models and situations.
We expect the Data Scientists to be excellent communicators with the ability to describe complex concepts clearly and concisely. They should be able to work independently in gathering requirements, developing roadmaps, and delivering results.
- Understand client needs and customize existing business processes to meet client needs.
- Promptly address client concerns and professionally manage requests.
- Understand Marketing Programs, Define / Document Campaign Requirement and Execution Plan
- Audience Management : Prospect / Owner Data Consolidation
- Campaign Performance and Analytics : Reporting & Insight
- Predictive Models Implementation
- Ingestion of FICO Score
- Assemble large, complex data sets from client and external sources that meet functional business requirements.
- Build analytics tools to provide actionable insights into customer acquisition, operational efficiency, and other key business performance metrics.
- Conduct statistical data analysis, including exploratory data analysis, data mining, and document key insights and findings toward decision making
- Document predictive models / machine learning results that can be incorporated into client-deliverable documentation
- Assist client to deploy models and algorithms within their own architecture
Qualifications
Additional Information
LI-ST1
