Data Scientist

Access control, Amazon Web Services, Architecture, Audit, Best practices, Cloud, Compliance, Data modeling, Documentation, Embedded systems, Engineering, FOCUS, IT, Information security, JavaScript, MongoDB, PostgreSQL, React.js, Redis, Ruby, Ruby on Rails, Software, Systems design, Technical writing, Troubleshooting, WAS, .NET, GitHub, C#, Microsoft SQL Server, Microsoft SSRS, PaaS, Stored procedures, Tableau, Agile, Jenkins, ETL, Dashboard, SQL, Agile coaching, Banking, Scrum, Scrum master, IBM WebSphere Portal, Python, IBM WebSphere, IBM WebSphere MQ, Apache Tomcat, Ansible, Transact-SQL, Apache Spark, AngularJS, Business requirements, Java, J2EE, Solution architecture, Mortgage, LDAP, Monitoring, OUD, JIRA, Kanban, DevOps, Cloud security, Automation, Authentication, Algorithms, Apache HBase, Apache Storm, RESTful, Software development, UI, CSS, HTML, Mobile Web, Web development, Data mining, Data science, Marketing, Modeling
Contract W2, Contract Independent, Contract Corp-To-Corp, 12 Months
Depends on Experience
Travel not required

Job Description

Data Scientist

 

Client is Looking for  for seasoned statistical modeler meeting these criteria:

  • Top Python programming skills, intermediate SQL skills
  • Marketing mix model experience (or at least have media/advertising industry experience)
  • PhD preferred but master also works

 

ob Duties:

Design and build new data set processes for modeling, data mining, and production purposes.
Determine new ways to improve data and search quality, and predictive capabilities.
Perform and interpret data studies and product experiments concerning new data sources or new uses for existing data sources.
Develop prototypes, proof of concepts, algorithms, predictive models, and custom analysis.
Minimum Qualifications
- PhD in Computer Science, Statistics or related field; OR a Master’s degree or equivalent in Computer Science, Statistics or related field and 2 years of related experience.
- Knowledge of machine learning, information retrieval, data mining, statistics, NLP or related field.
- Programming skills in one of the following languages: Java, Scala, C/C++.
- Knowledge of one of the scripting languages such as Python or Perl.
- Experience analyzing and interpreting the results of product experiments. Knowledge of statistical languages such as R.
- Experience working with large data sets and distributed computing tools (Map/Reduce, Hadoop, Hive, or Spark).
- Working knowledge of Relational Data Base Systems and SQL.
- Experience managing end-to-end machine learning pipeline from data exploration, feature engineering, model building, performance evaluation, and online testing with big data set.
- Excellent communications and organizational skills
- Prior experience in this area with eCommerce or Online Retail would be a plus.

Dice Id : wesca004
Position Id : 6871314
Originally Posted : 11 months ago
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