Workforce Connections
Senior Data Scientist
Workforce Connections, Des Moines, Iowa, United States,
Location: Onsite, St. Louis MO 63146
Job ResponsibilitiesPerform analysis using data science techniques on structured and unstructured data sets, and develop algorithms for targeted business needs. Design and develop data models to predict business outcomes or future impact of decisions. Establish scalable, efficient, automated processes for large scale data analyses, model development, model validation, and model implementation.Design and construct analysis tools that extract, and analyze data and store analytical results in an appropriate format for business needs. Conduct exploratory data analysis from complex data sources and build key data sets to support SMI's mission. Use deep learning, machine learning and analytical techniques to create scalable solutions for business problems.Evaluate and design experiments to monitor key metrics and identify improvement opportunities. Develop mathematical and statistical models to distinguish relevant content or events and recognize patterns. Participate in presentations and communicate results of analysis and findings. Collaborate with information technology or external vendors in the deployment of insights through company applications.Co-lead development, deployment and maintenance of SMI's evergreen Data Science training program. Evaluate and utilize appropriate BI/data visualization tools available in the toolkit to streamline insights deployment.Stay up-to-date to most current evolvement in the Analytics and Data Science arena, with focus on personal development applied towards on the job experiences.Actively assist and collaborate with others in the department in the continuous learning and knowledge sharing process across the Analytics & Science continuum.Support SMI's data science governance maturity, by contributing to development of analytics governance, best practices, and methodologies.Track general business activity and providing clear, compelling management reporting on a regular basis.Required Knowledge, Skills, And Abilities4+ years of experience in modeling and statistical analysis of large data sets in data science roles, involving data extraction, analysis, statistical modeling, and communication. Leverage of G Suite with solid storytelling skills.Knowledge of SQL and RDBMS. Strong domain knowledge in query languages, programming languages and statistical computing. Prior experience leveraging cloud computing solutions and Alteryx preferred.Strong attention to detail. Strong project management skills.Past and current experience writing and speaking about complex technical concepts to broad audiences in a simplified format. Track record of diving into data to discover hidden patterns.Previous experience working in the areas of inferential statistics, machine learning, and artificial intelligence preferred.Graduate degree in Statistics, Mathematics, Computer Science, Informatics, Econometrics, Engineering, Experimental Science, or equivalent experience.4+ years of experience in data science capabilities including data mining, predictive modeling, machine learning, statistical modeling, large scale data acquisition, transformation, and structured and unstructured data analysis.Experience with database technologies, query language, as well as fluency in managing and analyzing large data sets of data with advanced tools, such as R and Python etc.Ability to handle large amounts of data, identify key information and provide insightful recommendations to all levels within the organization.RequirementsRequired Education: Graduate level educationYears of Experience: 3 to 5 years
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Job ResponsibilitiesPerform analysis using data science techniques on structured and unstructured data sets, and develop algorithms for targeted business needs. Design and develop data models to predict business outcomes or future impact of decisions. Establish scalable, efficient, automated processes for large scale data analyses, model development, model validation, and model implementation.Design and construct analysis tools that extract, and analyze data and store analytical results in an appropriate format for business needs. Conduct exploratory data analysis from complex data sources and build key data sets to support SMI's mission. Use deep learning, machine learning and analytical techniques to create scalable solutions for business problems.Evaluate and design experiments to monitor key metrics and identify improvement opportunities. Develop mathematical and statistical models to distinguish relevant content or events and recognize patterns. Participate in presentations and communicate results of analysis and findings. Collaborate with information technology or external vendors in the deployment of insights through company applications.Co-lead development, deployment and maintenance of SMI's evergreen Data Science training program. Evaluate and utilize appropriate BI/data visualization tools available in the toolkit to streamline insights deployment.Stay up-to-date to most current evolvement in the Analytics and Data Science arena, with focus on personal development applied towards on the job experiences.Actively assist and collaborate with others in the department in the continuous learning and knowledge sharing process across the Analytics & Science continuum.Support SMI's data science governance maturity, by contributing to development of analytics governance, best practices, and methodologies.Track general business activity and providing clear, compelling management reporting on a regular basis.Required Knowledge, Skills, And Abilities4+ years of experience in modeling and statistical analysis of large data sets in data science roles, involving data extraction, analysis, statistical modeling, and communication. Leverage of G Suite with solid storytelling skills.Knowledge of SQL and RDBMS. Strong domain knowledge in query languages, programming languages and statistical computing. Prior experience leveraging cloud computing solutions and Alteryx preferred.Strong attention to detail. Strong project management skills.Past and current experience writing and speaking about complex technical concepts to broad audiences in a simplified format. Track record of diving into data to discover hidden patterns.Previous experience working in the areas of inferential statistics, machine learning, and artificial intelligence preferred.Graduate degree in Statistics, Mathematics, Computer Science, Informatics, Econometrics, Engineering, Experimental Science, or equivalent experience.4+ years of experience in data science capabilities including data mining, predictive modeling, machine learning, statistical modeling, large scale data acquisition, transformation, and structured and unstructured data analysis.Experience with database technologies, query language, as well as fluency in managing and analyzing large data sets of data with advanced tools, such as R and Python etc.Ability to handle large amounts of data, identify key information and provide insightful recommendations to all levels within the organization.RequirementsRequired Education: Graduate level educationYears of Experience: 3 to 5 years
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