Data Scientist

Depends on Experience

Contract: W2


    • Azure
    • Azure Data Factory
    • Azure DevOps
    • Data Engineering
    • Data Management
    • Data Governance
    • data visualization
    • data transformation
    • data mining
    • DevOps

    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 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

    Advanced Analytics Focused

    • Advanced skill in descriptive, predictive, and prescriptive analytics and modeling; demonstrated success in building models that are deployed and have made measurable business impact
    • Significant 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
    • Advanced 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 lifecycle
    • Advanced skill data mining, data wrangling, and data transformation with both structured and unstructured data; deep understanding of data models
    • Advanced skill interpreting, extrapolating, and interpolating data for statistical research and modeling
    • Advanced skill in Data Interpretation, Qualitative and Quantitative Analysis
    • Advanced skill in Python and R
    • Advanced 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 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
    • Advanced skill in Data Management, Data Validation & Cleansing and Information Analysis