Marketing Data Scientist

As an industry leader and Software-as-a-Service provider our mission at 8x8, Inc. (NYSE:EGHT) is to transform the future of business communications. The 8x8 Open Communications Platform (TM) uniquely brings together Voice, Video, Collaboration, Contact Center, and enterprise-class API solutions, helping businesses across the globe transform their customer and employee experience, and empowering workforces worldwide to work smarter.
For additional information, visit www.8x8.com, or follow 8x8 on LinkedIn, Twitter, and Facebook.
8x8 is seeking a Marketing Data Scientist who combines their technical expertise with business intuition. You will develop predictive models, design and measure tests, conduct causal studies to explain business-critical results, generate insights to set the strategic direction to enhance Marketing ROI and lead conversions
Our ideal candidate thrives in a fast-paced environment, relishes working with large transaction volumes and big data, enjoys the challenge of highly complex business contexts (that are typically being defined in real-time). The candidate will be an expert in the areas of data science, machine learning, statistics and business analysis. In this role you will be expected to work with business leaders to understand the problems they need to solve and design the appropriate and intuitive solutions and by leveraging scientific methods.

Responsibilities

• Contribute to the development and enhancement of Marketing ROI.
• Use data mining, model building, and other analytical techniques to develop and maintain customer segmentation and predictive models to drive the business and improve our machine learning engine.
• Make recommendations for new metrics, techniques, and strategies to improve campaign targeting and measurement.
• Improve targeting capabilities and uncover hidden opportunities using data, analytics and machine learning.
• Understand business and product strategies, goals and objectives. Set the analytics projects to drive the goals of the business.

Qualifications

• Graduate degree in Math, Finance, Economics, or Statistics or other related fields.
• 4+ years relevant experience covering: statistical techniques, advanced research design, and analytics/decision sciences with expertise in predictive modeling, time series forecasting, natural language processing (content and sentiment analysis), network analysis, machine learning, data mining, etc
• Expert SQL ability and proficiency with 2+ programming languages (e.g., R or Python)
• Experience with other analytics tools, data visualization tools (e.g. Tableau, Looker, Google Data Studio), and data pipeline tools (e.g., Airflow)
• Experience managing and working with large databases, data management, including understanding of various data structures and common methods in data transformation, data validation and audit
• Experience in A/B testing, statistics and model development.
• Proficient in using SQL, ETL, Data Warehouse solutions and databases in a business environment with large-scale, complex datasets.
• Familiarity with text mining, NLP and causal inference.
• Experience in complex data cleansing, data validation and master data management.
• Experience translating analysis results into business recommendations.

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