Lead Data Scientist - Predictive Marketing & Performance Analyst
November 13
Description
• We are looking for a Lead Marketing Analyst to join our team as a 6 month contractor. • At Blend our Data Scientists work with business leaders to solve our clients’ business challenges. • We expect the Data Scientists to be excellent communicators with the ability to describe complex concepts clearly and concisely. • 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. • 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.
Requirements
• MS degree in Statistics, Math, Data Analytics, or a related quantitative field • 3+ years Professional experience in Data Science , such as predictive modeling, statistical analysis, machine learning, text mining, geospatial analytics, time series forecasting, optimization • Experience leading a team • Experience analyzing campaign performance • Experience with one or more Advanced Data Science software languages (R, Python, Scala, SAS) • Experience with SQL and relational databases, query authoring and tuning as well as working familiarity with a variety of databases including Hadoop/Hive • Experience with spark and data-frames in PySpark or Scala • Strong problem-solving skills; ability to pivot complex data to answer business questions. • Proven ability to visualize data for influencing. • Comfortable with cloud-based platforms (AWS, Azure, Google) • Experience with Google Analytics, Adobe Analytics, Optimizely a plus
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