Data Scientist

Job description

Techwish is an Information Technology and Business Consulting firm providing professional staffing services. Techwish is looking for Data Scientist in Merrifield, VA 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 skillsAdvanced Analytics FocusedAdvanced skill in descriptive, predictive, and prescriptive analytics and modeling; demonstrated success in building models that are deployed and have made measurable business impactSignificant 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 learningAdvanced knowledge of advanced techniques such as: dimension reduction techniques, natural language processing, sentiment analysis, anomaly detection, geospatial analytics, etc.Demonstrates a deep understanding of the modeling lifecycleAdvanced skill data mining, data wrangling, and data transformation with both structured and unstructured data; deep understanding of data modelsAdvanced skill interpreting, extrapolating, and interpolating data for statistical research and modelingAdvanced skill in Data Interpretation, Qualitative and Quantitative AnalysisAdvanced skill in Python and RAdvanced skill in SQL and querying (able to pull/transform your own data)Advanced knowledge of cloud computing technologies such as: Apache Spark, Azure Data Factory, Azure DevOps, Azure ML (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 WarehousingAdvanced skill in Data Management, Data Validation & Cleansing and Information Analysis

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