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Data Scientist || Vienna, VA

2 months ago

Vienna, United States Isoftech Full time

Data Scientist

Vienna, VA - Hybrid

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 modeling

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

Using statistical practices, analyze current and historical data to make predictions, identify risks, and opportunities, enabling better decisions on planned/future events

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 to deliver strategic advanced analytic based solutions from design to deployment

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 and aids in effective decision making

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 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 experience

Ability to understand complex business problems and determine what aspects require optimization and articulate those aspects in a clear and concise manner

Advanced skill in communicating actionable insights using data to technical and non-technical audiences

Significant experience working in a dynamic, research-oriented groups with several ongoing concurrent projects

Demonstrates advanced functional knowledge of data visualization libraries such as matplotlib or ggplot2; knowledge of other visualization tools such as Microsoft Power BI and Tableau

Ability to manipulate raw data within visualization tools to create effective dashboards that communicate end-to-end data outcomes visually

Advanced storytelling with data skills

Exceptional technical writing skills

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