Data Scientist Advisor

Job description

Job Summary:

Provide expert leadership at the enterprise level related to vast quantities of data (including disparate data), enterprise analytics, statistical modeling, and initiatives. Leads staff in advanced in descriptive, diagnostic, predictive, prescriptive and ensemble modeling, advanced statistical techniques, use of database tools and/or other approaches in quantitative analysis of complex business situations. Creates and implements solutions from initial concept to fully tested production and communicates results to a broad range of audiences. Expert use of current and emerging technologies to evaluate trends and develop actionable insights and recommendations to managements, via understanding of the business model and the information available for analysis. Expert use of all data types, statistical and quantitative analysis, explanatory and high- complexity predictive modeling and fact-based management to drive decision making. Mentors fewer senior staff. Leads cross functional projects and programs. Routinely works on multiple highly complex assignments concurrently.

Minimum Qualifications:

Master's degree or equivalent in a quantitative discipline required. seven (7) Year work experience in measurement and analysis, quantitative business problem solving, solutions implementation, operations analysis, marketing analysis, simulation development and/or predictive analytics. Demonstrated superior analytical skills with diverse analytics, data types and statistical software and applications. Outstanding interpersonal skills, written, and oral communication skill. Proven leadership skills.

Job Description:

Provide expertise and leadership at the enterprise level related to vast quantities of data (including disparate data), enterprise analytics, statistical modeling, and initiatives. Lead staff in descriptive, predictive, prescriptive and ensemble modeling, advanced statistical techniques, use of database tools and/or other approaches in quantitative analysis of complex business situations. Create and execute solutions from initial concept to fully tested production and communicate results to a broad range of audiences. Advanced use of current and emerging technologies to evaluate trends and develop actionable insights and recommendations to management, via understanding of the business model and the information available for analysis. Use data, statistical and quantitative analysis, explanatory and high complexity predictive modeling and fact-based management to drive decision making. Mentors less senior staff. Lead cross functional teams. Routinely work on multiple highly complex assignments. Provide consultation to Sr. Leadership on a normal basis.

Skills/Knowledge Considered a Plus:
• Experience in cloud platforms like Google Cloud Platform, MS Azure.
• Experienced in with one of these languages – Python, Scala, Java.
• Strong working experience in SQL, Big data technologies and UNIX based environments.
• Experience with one or more of the following: Hadoop, Splunk, Hive, NoSQL, Spark, Hive, Kafka, Graph Database technologies.
• Demonstrated skill at data cleansing, data quality assessment, and using analytics for data assessment.
• Understanding of Statistical Modeling, machine learning and AI algorithms.