Dice
Data Scientist | Vienna, VA Hybrid
Dice, Vienna, Virginia, United States, 22184
Dice is the leading career destination for tech experts at every stage of their careers. Our client, Isoftech Inc, is seeking the following. Apply via Dice today!
Data Scientist
Vienna, VA Hybrid
No H1B's
Advanced Analytics Focused
Provide 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. Regarded as an advanced professional in the data science field. Conduct complex work under minimal supervision and with wide latitude for independent judgment. Individual contributor and mentor to junior staff.
Responsibilities:
Advanced Analytics Focused
Support the delivery of strategic advanced analytics solutions across the organization with solutions drawing on descriptive, predictive, and prescriptive analytics and modelingLeverage a broad set of modern technologies including Python, R, and Spark to analyze and gain insights within large data setsManage, architect, and analyze big data in order to build data driven insights and high impact data modelsUsing statistical practices, analyze current and historical data to make predictions, identify risks, and opportunities, enabling better decisions on planned/future eventsProvide analytics insights and solutions to solve complex business problemsApply business knowledge and advanced statistical modeling techniques when building data structures and toolsCollaborate with other team members, subject matter experts, pods, and delivery teams to deliver strategic advanced analytic based solutions from design to deploymentExamine data from multiple sources and share insights with leadership and stakeholdersTransform data presented in models, charts, and tables into a format that is useful to the business and aids in effective decision makingPoint of contact between the data analyst/data engineer and the project/functional analytics leadsDevelop and maintain an understanding of relevant industry standards, best practices, business processes and technology used in modeling and within the financial services industry
Qualifications and Education Requirements:
All Data Scientist Roles
Master s degree in Data Science, Statistics, Mathematics, Computer Science, Engineering or another quantitative field, or related field, or the equivalent combination of education, training and experienceAbility to understand complex business problems and determine what aspects require optimization and articulate those aspects in a clear and concise mannerAdvanced skill in communicating actionable insights using data to technical and non-technical audiencesSignificant experience working in a dynamic, research-oriented groups with several ongoing concurrent projectsDemonstrates advanced functional knowledge of data visualization libraries such as matplotlib or ggplot2; knowledge of other visualization tools such as Microsoft Power BI and TableauAbility to manipulate raw data within visualization tools to create effective dashboards that communicate end-to-end data outcomes visuallyAdvanced storytelling with data skillsExceptional technical writing skills
Data Scientist || Vienna, VA Hybrid
#J-18808-Ljbffr
Data Scientist
Vienna, VA Hybrid
No H1B's
Advanced Analytics Focused
Provide 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. Regarded as an advanced professional in the data science field. Conduct complex work under minimal supervision and with wide latitude for independent judgment. Individual contributor and mentor to junior staff.
Responsibilities:
Advanced Analytics Focused
Support the delivery of strategic advanced analytics solutions across the organization with solutions drawing on descriptive, predictive, and prescriptive analytics and modelingLeverage a broad set of modern technologies including Python, R, and Spark to analyze and gain insights within large data setsManage, architect, and analyze big data in order to build data driven insights and high impact data modelsUsing statistical practices, analyze current and historical data to make predictions, identify risks, and opportunities, enabling better decisions on planned/future eventsProvide analytics insights and solutions to solve complex business problemsApply business knowledge and advanced statistical modeling techniques when building data structures and toolsCollaborate with other team members, subject matter experts, pods, and delivery teams to deliver strategic advanced analytic based solutions from design to deploymentExamine data from multiple sources and share insights with leadership and stakeholdersTransform data presented in models, charts, and tables into a format that is useful to the business and aids in effective decision makingPoint of contact between the data analyst/data engineer and the project/functional analytics leadsDevelop and maintain an understanding of relevant industry standards, best practices, business processes and technology used in modeling and within the financial services industry
Qualifications and Education Requirements:
All Data Scientist Roles
Master s degree in Data Science, Statistics, Mathematics, Computer Science, Engineering or another quantitative field, or related field, or the equivalent combination of education, training and experienceAbility to understand complex business problems and determine what aspects require optimization and articulate those aspects in a clear and concise mannerAdvanced skill in communicating actionable insights using data to technical and non-technical audiencesSignificant experience working in a dynamic, research-oriented groups with several ongoing concurrent projectsDemonstrates advanced functional knowledge of data visualization libraries such as matplotlib or ggplot2; knowledge of other visualization tools such as Microsoft Power BI and TableauAbility to manipulate raw data within visualization tools to create effective dashboards that communicate end-to-end data outcomes visuallyAdvanced storytelling with data skillsExceptional technical writing skills
Data Scientist || Vienna, VA Hybrid
#J-18808-Ljbffr