INSPYR Solutions
Data Scientist BF
INSPYR Solutions, Vienna, Virginia, United States, 22184
Title:
Data ScientistLocation:
Vienna, VADuration:
6 month with potential extensionCompensation:
$60.00 - $73.00/hourWork Requirements:
US Citizen, GC Holders or Authorized to Work in the USDescription
Provide independent data science, machine learning, and analytical insights using member, financial, and organizational data to support mission critical decision making for various areas of the organization. Understand business needs and identify opportunities for new products, services, and process optimization 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 work assignments of increasing complexity, under moderate supervision with some latitude for independent judgment. Intermediate professional within field; requires moderate skill set and proficiency in discipline.Responsibilities
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, Scala, 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, 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.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.Qualifications and Education Requirements
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.Proven experience working in a dynamic, research-oriented groups with several ongoing concurrent projects.Demonstrates 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.Proficient in storytelling with data skills.Exceptional technical writing skills.Advanced verbal, interpersonal and written communication skills.Advanced Analytics Focused
Moderate skill in descriptive, predictive, and prescriptive analytics and modeling; demonstrated success in building models that are deployed and have made measurable business impact.Experience in using two or more of the following modeling types to solve business problems: classification, regression, time series, clustering, text analytics, survival, association, optimization, reinforcement learning.Working knowledge of advanced techniques such as: SMOTE, dimension reduction techniques, natural language processing, sentiment analysis, anomaly detection, geospatial analytics, etc.Demonstrates a deep understanding of the modeling lifecycle.Moderate skill data mining, data wrangling, and data transformation with both structured and unstructured data; deep understanding of data models.Skill interpreting, extrapolating, and interpolating data for statistical research and modeling.Advanced skill in Data Interpretation, Qualitative and Quantitative Analysis.Advanced skill in Python.Moderate skill in SQL and querying (able to pull/transform your own data).Knowledge of cloud computing technologies such as: Apache Spark, Azure Data Factory, Azure DevOps, Azure Client (Machine Learning), Hadoop, Microsoft Azure, Databricks, AWS, Google Cloud.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 the concepts and application of data mapping and building requirements.Demonstrates a deep understanding of multiple data related concepts.Familiar with Data Integration, Data Governance and Data Warehousing.Moderate skill in Data Management, Data Validation & Cleansing and Information Analysis.Desired Qualifications And Education Requirements
Doctoral degree in Statistics, Mathematics, Computer Science, Engineering or another quantitative field, or related field.Familiar with project management concepts and frameworks such as Agile Frameworks (SAFE), Communication Strategy and Management, Delivery Excellence and Requirements management.Our Benefits Package Includes
Comprehensive medical benefits.Competitive pay, 401(k).Retirement plan.…and much more!About INSPYR Solutions
As a leading information technology partner, we connect top IT talent with our clients to provide innovative business solutions through our IT Staffing, Professional Services, and Infrastructure Solutions divisions. We understand and value the unique needs of highly-skilled information technology professionals in the industry and always strive to stay above the curve. Our company was founded on the following core values: Be the Best, Understand the Urgency, Never Ever Give Up, Have the Courage to Excel, and Make a Contribution. We take pride in our business model and strive to create a positive workplace environment through an exemplary culture.INSPYR Solutions provides Equal Employment Opportunities (EEO) to all employees and applicants for employment without regard to race, color, religion, sex, national origin, age, disability, or genetics. In addition to federal law requirements, INSPYR complies with applicable state and local laws governing nondiscrimination in employment in every location in which the company has facilities.
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Data ScientistLocation:
Vienna, VADuration:
6 month with potential extensionCompensation:
$60.00 - $73.00/hourWork Requirements:
US Citizen, GC Holders or Authorized to Work in the USDescription
Provide independent data science, machine learning, and analytical insights using member, financial, and organizational data to support mission critical decision making for various areas of the organization. Understand business needs and identify opportunities for new products, services, and process optimization 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 work assignments of increasing complexity, under moderate supervision with some latitude for independent judgment. Intermediate professional within field; requires moderate skill set and proficiency in discipline.Responsibilities
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, Scala, 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, 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.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.Qualifications and Education Requirements
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.Proven experience working in a dynamic, research-oriented groups with several ongoing concurrent projects.Demonstrates 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.Proficient in storytelling with data skills.Exceptional technical writing skills.Advanced verbal, interpersonal and written communication skills.Advanced Analytics Focused
Moderate skill in descriptive, predictive, and prescriptive analytics and modeling; demonstrated success in building models that are deployed and have made measurable business impact.Experience in using two or more of the following modeling types to solve business problems: classification, regression, time series, clustering, text analytics, survival, association, optimization, reinforcement learning.Working knowledge of advanced techniques such as: SMOTE, dimension reduction techniques, natural language processing, sentiment analysis, anomaly detection, geospatial analytics, etc.Demonstrates a deep understanding of the modeling lifecycle.Moderate skill data mining, data wrangling, and data transformation with both structured and unstructured data; deep understanding of data models.Skill interpreting, extrapolating, and interpolating data for statistical research and modeling.Advanced skill in Data Interpretation, Qualitative and Quantitative Analysis.Advanced skill in Python.Moderate skill in SQL and querying (able to pull/transform your own data).Knowledge of cloud computing technologies such as: Apache Spark, Azure Data Factory, Azure DevOps, Azure Client (Machine Learning), Hadoop, Microsoft Azure, Databricks, AWS, Google Cloud.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 the concepts and application of data mapping and building requirements.Demonstrates a deep understanding of multiple data related concepts.Familiar with Data Integration, Data Governance and Data Warehousing.Moderate skill in Data Management, Data Validation & Cleansing and Information Analysis.Desired Qualifications And Education Requirements
Doctoral degree in Statistics, Mathematics, Computer Science, Engineering or another quantitative field, or related field.Familiar with project management concepts and frameworks such as Agile Frameworks (SAFE), Communication Strategy and Management, Delivery Excellence and Requirements management.Our Benefits Package Includes
Comprehensive medical benefits.Competitive pay, 401(k).Retirement plan.…and much more!About INSPYR Solutions
As a leading information technology partner, we connect top IT talent with our clients to provide innovative business solutions through our IT Staffing, Professional Services, and Infrastructure Solutions divisions. We understand and value the unique needs of highly-skilled information technology professionals in the industry and always strive to stay above the curve. Our company was founded on the following core values: Be the Best, Understand the Urgency, Never Ever Give Up, Have the Courage to Excel, and Make a Contribution. We take pride in our business model and strive to create a positive workplace environment through an exemplary culture.INSPYR Solutions provides Equal Employment Opportunities (EEO) to all employees and applicants for employment without regard to race, color, religion, sex, national origin, age, disability, or genetics. In addition to federal law requirements, INSPYR complies with applicable state and local laws governing nondiscrimination in employment in every location in which the company has facilities.
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