Tephra Inc.
Data Scientist
Tephra Inc., Troy, MI
Description:
Advanced Analytics & Data Science (AADS) value engine of ITG develops and delivers innovative Analytics Solutions and Services to global manufacturing customers. The AADS team is seeking an experienced data scientist to join a multi-disciplinary team for developing proof of concepts and implement projects in Advanced Analytics using Statistical and Optimization techniques for deriving business insights with measurable success in the Manufacturing value chain.
Responsibilities:
• Define hypothesis and identify the analysis trail for the given business problem
• Collaborate with technology team and support the development of analytical models with the effective use of data and analytic techniques
• Validate the model results and articulate the insights to the business team
• Effectively visualize and communicate analysis results
• Work collaboratively with software development teams, data scientists, systems engineers and analysts across multiple geographies and functions to develop and deliver enterprise analytics solutions.
Qualifications:
Must Have:
• University degree in computer science, Bayesian statistics, or related fields
• More than 5 years of experience as a data scientist, data analyst, business intelligence analyst, or equivalent roles
• Knowledge of statistical or mathematical analysis techniques, including classification, regression, optimization, and simulation
• Ability to integrate and analyze large and complex data sets
• Ability to communicate technical concepts and solutions to clients and internal teams
• Development Technologies: Python, R, SQL, Spark, Pandas, Scikit learn
• Experience with statistical analysis software, including SAS
• Experience with unstructured data
• Familiarity / experience with machine learning methods including KNN, Random Forest, Ensemble methods, Markov Chain, Monte Carlo, Naive Bayes, PCA / PCP - singular value decomposition
Good to Have:
• Experience with machine learning, text mining and optimization
• Experience with Manufacturing data sets from ERP, CRM, PLM, MES systems
• Knowledge of Big Data technologies
• MStat / other PG degree in Statistics, Mathematics, Physics, Manufacturing Operations Management
• Agile Development experience
• Understanding of version control - GitHub
Advanced Analytics & Data Science (AADS) value engine of ITG develops and delivers innovative Analytics Solutions and Services to global manufacturing customers. The AADS team is seeking an experienced data scientist to join a multi-disciplinary team for developing proof of concepts and implement projects in Advanced Analytics using Statistical and Optimization techniques for deriving business insights with measurable success in the Manufacturing value chain.
Responsibilities:
• Define hypothesis and identify the analysis trail for the given business problem
• Collaborate with technology team and support the development of analytical models with the effective use of data and analytic techniques
• Validate the model results and articulate the insights to the business team
• Effectively visualize and communicate analysis results
• Work collaboratively with software development teams, data scientists, systems engineers and analysts across multiple geographies and functions to develop and deliver enterprise analytics solutions.
Qualifications:
Must Have:
• University degree in computer science, Bayesian statistics, or related fields
• More than 5 years of experience as a data scientist, data analyst, business intelligence analyst, or equivalent roles
• Knowledge of statistical or mathematical analysis techniques, including classification, regression, optimization, and simulation
• Ability to integrate and analyze large and complex data sets
• Ability to communicate technical concepts and solutions to clients and internal teams
• Development Technologies: Python, R, SQL, Spark, Pandas, Scikit learn
• Experience with statistical analysis software, including SAS
• Experience with unstructured data
• Familiarity / experience with machine learning methods including KNN, Random Forest, Ensemble methods, Markov Chain, Monte Carlo, Naive Bayes, PCA / PCP - singular value decomposition
Good to Have:
• Experience with machine learning, text mining and optimization
• Experience with Manufacturing data sets from ERP, CRM, PLM, MES systems
• Knowledge of Big Data technologies
• MStat / other PG degree in Statistics, Mathematics, Physics, Manufacturing Operations Management
• Agile Development experience
• Understanding of version control - GitHub