Lead Data Scientist, Predictive Marketing & Performance Analyst
2024-11-16
USA
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 6 month 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
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
Additional Information
#LI-ST1
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 6 month 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
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
Additional Information
#LI-ST1