Job Details
Title: Data Scientist
Location: Vienna, VA
Duration: 6 month with potential extension
Compensation: $60.00 - $73.00/hour
Work Requirements: US Citizen, GC Holders or Authorized to Work in the US
Description
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.
Advanced Analytics Focused
Responsibilities
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, Scala, 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 modelsEvaluate 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 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 industryIdentify improvements to the way in which analytics service the entire functionRecognize potential issues and risks during the analytics project implementation and suggest mitigation strategiesPrepare project deliverables that are valued by the business and present them in such a manner that they are easily understood by project stakeholdersQualifications 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 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 audiencesProven experience working in a dynamic, research-oriented groups with several ongoing concurrent projectsDemonstrates 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 visuallyProficient in storytelling with data skillsExceptional technical writing skillsAdvanced 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 impactExperience 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 learningWorking 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 lifecycleModerate skill data mining, data wrangling, and data transformation with both structured and unstructured data; deep understanding of data modelsSkill interpreting, extrapolating, and interpolating data for statistical research and modelingAdvanced skill in Data Interpretation, Qualitative and Quantitative AnalysisAdvanced skill in PythonModerate 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 CloudUnderstanding of data models, large datasets, business/technical requirements, BI tools, statistical programming languages and librariesFamiliar with Data Engineering conceptsFamiliar with the use of standard ETL tools and techniquesFamiliar with the concepts and application of data mapping and building requirementsDemonstrates a deep understanding of multiple data related conceptsFamiliar with Data Integration, Data Governance and Data WarehousingModerate 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 fieldFamiliar 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 benefitsCompetitive pay, 401(k)Retirement planand 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.#J-18808-Ljbffr