Dice
Senior Data Scientist- Presidents Office
Dice, Vienna, Virginia, United States, 22184
Dice is the leading career destination for tech experts at every stage of their careers. Our client, System One, is seeking the following. Apply via Dice today!Senior Data Scientist - Presidents Office
Location:
Hybrid Work Model Reporting to Vienna, VAPay Rate:
Open to Both C2C and W2 optionsPosition Type:
Multiyear ContractRequirements:
Advanced Analytics FocusedProvide independent data science, machine learning, and analytical insights using member, financial, and organizational data to support mission critical decision making for Compliance-Complaints.Understand business needs and identify opportunities for improvements to products, services, and processes to meet business objectives through the use of cutting-edge data science.Create descriptive, predictive, and prescriptive models and insights to drive impact across the organization.Conduct complex work under minimal supervision and with wide latitude for independent judgment.Individual contributor and mentor to junior staff.Support the delivery of strategic advanced analytics solutions across the organization.Leverage a broad set of modern technologies - including Python, R, and Spark - to analyze and gain insights within large data sets.Manage, architect, and analyze big data in order to build data driven insights and high impact data models.Evaluate model design and performance and perform champion/challenger development.Analyze model input data, assumptions, and overall methodology.Using statistical practices, analyze current and historical data to make predictions, identify risks, and opportunities.Provide analytics insights and solutions to solve complex business problems.Apply business knowledge and advanced statistical modeling techniques when building data structures and tools.Collaborate with other team members, subject matter experts, pods, and delivery teams.Examine data from multiple sources and share insights with leadership and stakeholders.Transform data presented in models, charts, and tables into a format that is useful to the business.Point of contact between the data analyst/data engineer and the project/functional analytics leads.Develop and maintain an understanding of relevant industry standards, best practices, business processes and technology used in modeling.Identify improvements to the way in which analytics service the entire function.Recognize potential issues and risks during the analytics project implementation and suggest mitigation strategies.Prepare project deliverables that are valued by the business and present them in such a manner that they are easily understood by project stakeholders.Perform other duties as assigned.Assess new and existing model's overall fit/suitability with its intended use and purpose.Qualifications:
Master's degree in Data Science, Statistics, Mathematics, Computer Science, Engineering or another quantitative field, or equivalent combination of education, training and experience.Ability to understand complex business problems and determine what aspects require optimization.Advanced skill in communicating actionable insights using data to technical and non-technical audiences.Significant experience working in dynamic, research-oriented groups with several concurrent projects.Demonstrates advanced functional knowledge of data visualization libraries such as matplotlib or ggplot2.Ability to manipulate raw data within visualization tools to create effective dashboards.Advanced storytelling with data skills.Exceptional technical writing skills.Advanced skill in descriptive, predictive, and prescriptive analytics and modeling.Significant experience in using two or more modeling types to solve business problems.Advanced knowledge of advanced techniques such as dimension reduction techniques, natural language processing, sentiment analysis, etc.Demonstrates a deep understanding of the modeling lifecycle.Advanced skill in data mining, data wrangling, and data transformation.Advanced skill interpreting, extrapolating, and interpolating data for statistical research and modeling.Advanced skill in Data Interpretation, Qualitative and Quantitative Analysis.Advanced skill in Python and R.Advanced skill in SQL and querying.Advanced knowledge of cloud computing technologies such as Apache Spark, Azure Data Factory, Azure DevOps, etc.Understanding of data models, large datasets, business/technical requirements, BI tools, statistical programming languages and libraries.Familiar with Data Engineering concepts.Familiar with the use of standard ETL tools and techniques.Familiar with concepts and application of data mapping.Demonstrates a deep understanding of multiple data related concepts.Familiar with Data Integration, Data Governance and Data Warehousing.Advanced skill in Data Management, Data Validation & Cleansing and Information Analysis.For immediate consideration, please apply directly or contact Ryan Pustilnik at .
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Location:
Hybrid Work Model Reporting to Vienna, VAPay Rate:
Open to Both C2C and W2 optionsPosition Type:
Multiyear ContractRequirements:
Advanced Analytics FocusedProvide independent data science, machine learning, and analytical insights using member, financial, and organizational data to support mission critical decision making for Compliance-Complaints.Understand business needs and identify opportunities for improvements to products, services, and processes to meet business objectives through the use of cutting-edge data science.Create descriptive, predictive, and prescriptive models and insights to drive impact across the organization.Conduct complex work under minimal supervision and with wide latitude for independent judgment.Individual contributor and mentor to junior staff.Support the delivery of strategic advanced analytics solutions across the organization.Leverage a broad set of modern technologies - including Python, R, and Spark - to analyze and gain insights within large data sets.Manage, architect, and analyze big data in order to build data driven insights and high impact data models.Evaluate model design and performance and perform champion/challenger development.Analyze model input data, assumptions, and overall methodology.Using statistical practices, analyze current and historical data to make predictions, identify risks, and opportunities.Provide analytics insights and solutions to solve complex business problems.Apply business knowledge and advanced statistical modeling techniques when building data structures and tools.Collaborate with other team members, subject matter experts, pods, and delivery teams.Examine data from multiple sources and share insights with leadership and stakeholders.Transform data presented in models, charts, and tables into a format that is useful to the business.Point of contact between the data analyst/data engineer and the project/functional analytics leads.Develop and maintain an understanding of relevant industry standards, best practices, business processes and technology used in modeling.Identify improvements to the way in which analytics service the entire function.Recognize potential issues and risks during the analytics project implementation and suggest mitigation strategies.Prepare project deliverables that are valued by the business and present them in such a manner that they are easily understood by project stakeholders.Perform other duties as assigned.Assess new and existing model's overall fit/suitability with its intended use and purpose.Qualifications:
Master's degree in Data Science, Statistics, Mathematics, Computer Science, Engineering or another quantitative field, or equivalent combination of education, training and experience.Ability to understand complex business problems and determine what aspects require optimization.Advanced skill in communicating actionable insights using data to technical and non-technical audiences.Significant experience working in dynamic, research-oriented groups with several concurrent projects.Demonstrates advanced functional knowledge of data visualization libraries such as matplotlib or ggplot2.Ability to manipulate raw data within visualization tools to create effective dashboards.Advanced storytelling with data skills.Exceptional technical writing skills.Advanced skill in descriptive, predictive, and prescriptive analytics and modeling.Significant experience in using two or more modeling types to solve business problems.Advanced knowledge of advanced techniques such as dimension reduction techniques, natural language processing, sentiment analysis, etc.Demonstrates a deep understanding of the modeling lifecycle.Advanced skill in data mining, data wrangling, and data transformation.Advanced skill interpreting, extrapolating, and interpolating data for statistical research and modeling.Advanced skill in Data Interpretation, Qualitative and Quantitative Analysis.Advanced skill in Python and R.Advanced skill in SQL and querying.Advanced knowledge of cloud computing technologies such as Apache Spark, Azure Data Factory, Azure DevOps, etc.Understanding of data models, large datasets, business/technical requirements, BI tools, statistical programming languages and libraries.Familiar with Data Engineering concepts.Familiar with the use of standard ETL tools and techniques.Familiar with concepts and application of data mapping.Demonstrates a deep understanding of multiple data related concepts.Familiar with Data Integration, Data Governance and Data Warehousing.Advanced skill in Data Management, Data Validation & Cleansing and Information Analysis.For immediate consideration, please apply directly or contact Ryan Pustilnik at .
#J-18808-Ljbffr