Collaborates with business partners in identifying analytical opportunities and developing BI-related goals and projects that will create strategically relevant insights; Work with internal and external partners to develop analytics vision and programs to advance BI solutions and practices; Understands data and sources of data. Strategizes with IT development team and develops a process to collect, ingest, and deliver data along with proper data models for analytical needs; Interacts with business users to define pain points, problem statement, scope, and analytics business case. Develops solutions with recommended data model and business intelligence technologies including data warehouse, data marts, OLAP modeling, dashboards/reporting, and data queries
Requirements:
Bachelors’ Degree, from an accredited institution in Data Science, Statistics, Computer Science, or related field; 5+ years of experience with statistical modeling such as clustering, segmentation, multivariate, regression, etc. and analytics tools such as R, Python, Databricks, etc. required; Experience in developing and applying predictive and prescriptive modeling, deep-learning, or other machine learning techniques a plus; Hands-on development of AI solutions that comply with industry standards and government regulations
Text:
Senior Data Scientist Collaborates with business partners in identifying analytical opportunities and developing BI-related goals and projects that will create strategically relevant insights; Work with internal and external partners to develop analytics vision and programs to advance BI solutions and practices; Understands data and sources of data. Strategizes with IT development team and develops a process to collect, ingest, and deliver data along with proper data models for analytical needs; Interacts with business users to define pain points, problem statement, scope, and analytics business case. Develops solutions with recommended data model and business intelligence technologies including data warehouse, data marts, OLAP modeling, dashboards/reporting, and data queries Bachelors’ Degree, from an accredited institution in Data Science, Statistics, Computer Science, or related field; 5+ years of experience with statistical modeling such as clustering, segmentation, multivariate, regression, etc. and analytics tools such as R, Python, Databricks, etc. required; Experience in developing and applying predictive and prescriptive modeling, deep-learning, or other machine learning techniques a plus; Hands-on development of AI solutions that comply with industry standards and government regulations
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