Employ computer vision and deep learning techniques to extract data from a wide variety of unstructured data sources, and build ETL pipelines to transfer and store data in repository; retrieve, cleanse, and preprocess extensive and varied structured big datasets from multiple sources, and prepare them for analysis; utilize advanced statistical techniques and ML models to unveil significant patterns and correlations embedded in data; perform thorough statistical analysis and employ machine learning algorithms to identify patterns, correlations, and trends within gaming slots data; implement techniques such as regression, clustering, and classification to gain valuable insights into the underlying structure and make predictions and support continuous predictive and prescriptive reports; generate compelling visualizations, interactive dashboards, and comprehensive reports to effectively communicate analytical discoveries; employ tools such as Python, R, Tableau, Plotly or Power BI to present data-driven insights; analyze data analysis outcomes and deliver actionable insights to stakeholders, including executives, product managers, and product development teams. Must have Bachelor's degree in Analytics, Computer Science or a related field and 2 years' experience in job offered or as Statistical Analyst or Software Engineer-BI/Data Scientist or any combination thereof.Must have 2 years' experience (may be gained concurrently with the above experience) in the following:
Managing large structured and unstructured datasets.
Data extraction and analysis.
Machine Learning with Big Data
Graph Analytics with Big Data
Tableau/Power BI-Data - Visualization
Vector Spaces
Time Series & Forecasting in Tensorflow
Residual Networks, Long Short-Term Memory
Must have working knowledge of:
Automating Data Integration Processes
Pattern Identification using Machine Learning/Deep Learning
Probabilistic Models
Attention Models
Sequence Models
Hadoop Platform & Application Framework
Improving Deep Neural Networks using Hyperparameter Tuning
Improving Deep Neural Networks using Regularization
Improving Deep Neural Networks using Optimization
Computer Vision in Python Environment
Data warehousing
SSAS
SSIS
SQL Server
C#
DAX
Power BI
Employer will accept any suitable combination of education, training, or experience. Employer: AGS LLC. Job location: Duluth, GA.
Equal Opportunity Employer, including disability/protected veterans
Equal employment opportunity, including veterans and individuals with disabilities.