What are the responsibilities and job description for the Senior Data Science and Machine Learning Associate//Dearborn, MI//W2 Only position at Saanvi Technologies?
Data Science and Machine Learning Senior Associate
Dearborn, MI 4days onsite
W2
Position Description
Employees in this job function are responsible for predicting and/ or extracting meaningful trends/ patterns/ recommendations from raw data, leveraging data science methodologies including Machine Learning (ML), predictive modeling, math, statistics, advanced analytics, etc. Key Responsibilities: 1) Understand business requirements and analyze datasets to determine suitable approaches to meet analytic business needs and support data-driven decision-making 2) Design and implement data analysis and ML models, hypotheses, algorithms and experiments to support data driven decision-making 3) Apply various analytics techniques like data mining, predictive modeling, prescriptive modeling, math, statistics, advanced analytics, machine learning models and algorithms, etc.; to analyze data and uncover meaningful patterns, relationships, and trends 4) Design efficient data loading, data augmentation and data analysis techniques to enhance the accuracy and robustness of data science and machine learning models, including scalable models suitable for automation 5) Research, study and stay updated in the domain of data science, machine learning, analytics tools and techniques etc.; and continuously identify avenues for enhancing analysis efficiency, accuracy and robustness
Skills Required
Data Model, Machine Learning, Data Science
Skills Preferred
GCP, Data Analysis, Python, Artificial Intelligence & Expert Systems
Experience Required
Senior Associate Exp: 5 years experience hands-on experience with mathematical programming, machine learning, artificial intelligence, optimization/simulation techniques, or statistical analysis o Demonstrated technical skills in data analytics, AI/ML, operations research, and/or optimization.
Education Required
Master's Degree, Bachelor's Degree
Education Preferred
Additional Safety Training/Licensing/Personal Protection Requirements:
Additional Information
4 days on site
Dearborn, MI 4days onsite
W2
Position Description
Employees in this job function are responsible for predicting and/ or extracting meaningful trends/ patterns/ recommendations from raw data, leveraging data science methodologies including Machine Learning (ML), predictive modeling, math, statistics, advanced analytics, etc. Key Responsibilities: 1) Understand business requirements and analyze datasets to determine suitable approaches to meet analytic business needs and support data-driven decision-making 2) Design and implement data analysis and ML models, hypotheses, algorithms and experiments to support data driven decision-making 3) Apply various analytics techniques like data mining, predictive modeling, prescriptive modeling, math, statistics, advanced analytics, machine learning models and algorithms, etc.; to analyze data and uncover meaningful patterns, relationships, and trends 4) Design efficient data loading, data augmentation and data analysis techniques to enhance the accuracy and robustness of data science and machine learning models, including scalable models suitable for automation 5) Research, study and stay updated in the domain of data science, machine learning, analytics tools and techniques etc.; and continuously identify avenues for enhancing analysis efficiency, accuracy and robustness
Skills Required
Data Model, Machine Learning, Data Science
Skills Preferred
GCP, Data Analysis, Python, Artificial Intelligence & Expert Systems
Experience Required
Senior Associate Exp: 5 years experience hands-on experience with mathematical programming, machine learning, artificial intelligence, optimization/simulation techniques, or statistical analysis o Demonstrated technical skills in data analytics, AI/ML, operations research, and/or optimization.
Education Required
Master's Degree, Bachelor's Degree
Education Preferred
Additional Safety Training/Licensing/Personal Protection Requirements:
Additional Information
4 days on site