Data Scientist
2 weeks ago
Details:
Data Scientist
Location: Merrifield, VA(Hybrid)
Duration: 12 Months Contract
Responsibilities:
- 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
All Data Scientist Roles
- 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
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