3158 Data Scientist Condition Monitoring jobs in Dallas,TX

Typically Master's degree in Applied Statistics, Data Science, Business Analytics, Business Intelligence & Analytics, Mathematics, Computer Science, Computer Science, Engineering, Informatics, Information Systems Management, Mathematics, MBA with Technical Undergrad, Predictive Analytics, Statistics, or equivalent technical degree.
Extensive experience applying Python (NumPy, SciPy, pandas, etc) programming to solve business challenges.
Extensive experience (typically 8 years+) with advanced data analysis and statistical methods such as regression, hypothesis testing, ANOVA, statistical process control, etc.
Extensive experience in practical applications of Machine Learning techniques such as Clustering, Logistic Regression, Random Forests, SVM or Neural Networks.
Advanced experience in quantifying the costs, benefits, risks and chances for success before recommending a course of action.
In-depth technical and problem-solving skills and evidence of continuous learning in the analytics field
Extensive knowledge of techniques and tools that promote effective analysis; ability to determine the root cause of organizational problems and create alternative solutions that resolve these problems.
Working knowledge with cloud technologies (AWS, Azure, Google Cloud, etc)
Extensive experience with Snowflake and SQL
Advanced experience in DevOPs and ML-OPs
Extensive experience with the necessity and value of accuracy; ability to complete tasks with high levels of precision.
Good understanding of Agile Best Practices to work with Project Manager and Team to Plan, Effort Estimation, Check Quality, Document and Deliver on time with help of team.
Any offer of employment is conditioned upon the successful completion of a drug screen.
Drug screen

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