SysMind Tech
Data Scientist
SysMind Tech, Minneapolis, Minnesota, United States, 55400
Job Title
Data Scientist
Relevant Experience
(in Yrs)
6-8 years of Relevant Experience
Technical/Functional Skills
Required Skills: 5+ years relevant real-world experience researching, developing, and delivering high impact data driven insights through machine learning. Deep understanding of supervised, unsupervised, reinforcement machine learning and NLP / NLU / LLM techniques. High proficiency in exploratory data analysis, data profiling, and feature engineering on large structured and unstructured datasets. In depth knowledge and hands-on computer programming in SQL, Python, R or similar programming language. Excellent written and verbal communication and consultancy skills - ability to succinctly communicate results and tell compelling stories with data to any audience. Preferred Skills:
Deep knowledge of probability, statistics and machine learning algorithms and be able to determine when to apply them. Familiarity with big data platforms (like Spark, Databricks), machine learning frameworks (like Tensorflow, Keras, MXNet or PyTorch) and libraries (like scikit-learn, numpy, pandas, and scikit-learn) and ability to learn new technologies quickly. Knowledge of Azure, or similar cloud platforms. Experience presenting to both technical and non-technical audiences and a history of publications or presentations at conferences is a plus. Experience Required
Yes
Roles & Responsibilities
Data mining or extracting usable data from valuable data sources Using machine learning tools to select features, create and optimize classifiers Carrying out preprocessing of structured and unstructured data Enhancing data collection procedures to include all relevant information for developing analytic systems Processing, cleansing, and validating the integrity of data to be used for analysis Analyzing large amounts of information to find patterns and solutions Developing prediction systems and machine learning algorithms Presenting results in a clear manner Propose solutions and strategies to tackle business challenges Collaborate with Business and IT teams Generic Managerial Skills
Optional
Education
Bachelor's degree
Data Scientist
Relevant Experience
(in Yrs)
6-8 years of Relevant Experience
Technical/Functional Skills
Required Skills: 5+ years relevant real-world experience researching, developing, and delivering high impact data driven insights through machine learning. Deep understanding of supervised, unsupervised, reinforcement machine learning and NLP / NLU / LLM techniques. High proficiency in exploratory data analysis, data profiling, and feature engineering on large structured and unstructured datasets. In depth knowledge and hands-on computer programming in SQL, Python, R or similar programming language. Excellent written and verbal communication and consultancy skills - ability to succinctly communicate results and tell compelling stories with data to any audience. Preferred Skills:
Deep knowledge of probability, statistics and machine learning algorithms and be able to determine when to apply them. Familiarity with big data platforms (like Spark, Databricks), machine learning frameworks (like Tensorflow, Keras, MXNet or PyTorch) and libraries (like scikit-learn, numpy, pandas, and scikit-learn) and ability to learn new technologies quickly. Knowledge of Azure, or similar cloud platforms. Experience presenting to both technical and non-technical audiences and a history of publications or presentations at conferences is a plus. Experience Required
Yes
Roles & Responsibilities
Data mining or extracting usable data from valuable data sources Using machine learning tools to select features, create and optimize classifiers Carrying out preprocessing of structured and unstructured data Enhancing data collection procedures to include all relevant information for developing analytic systems Processing, cleansing, and validating the integrity of data to be used for analysis Analyzing large amounts of information to find patterns and solutions Developing prediction systems and machine learning algorithms Presenting results in a clear manner Propose solutions and strategies to tackle business challenges Collaborate with Business and IT teams Generic Managerial Skills
Optional
Education
Bachelor's degree