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 , or follow 8x8 on LinkedIn, Twitter and Facebook. Job Overview 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.
You will use necessary machine learning methods and conduct analyses to derive insights that are critical to business success.
You will be responsible for researching insights as well as educating the marketing team on the implementation of those insights to enable data-driven, day-to-day decision making.
You will partner with our product marketing, corporate marketing, operations, campaigns, digital and BI teams to :
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.
not necessary but some sort of quantitative background is key
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
Graduate degree in Math, Finance, Economics, or Statistics or other related fields from an accredited university.
4+ years relevant experience covering : statistical techniques, advanced research design, and analytics / decision sciences with expertise in predictive modelling, 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.
Working at 8x8 :
Industry leading, award winning technology and recognised on two Gartner Magic Quadrants
Inclusive, supportive and collaborative culture yet with a winning mentality
Encouragement and environment to make a difference
Fun check out our Instagram posts in the UK, Romania and the US, the smiles are real
Deep passion for doing the best for our customers,