Dice
Senior Data Scientist
Dice, Merrifield, Virginia, us, 22118
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Role: Senior Data Scientist - Presidents Office
Location: Merrifield, VA (Hybrid)Duration: 12+ Months Long Term ContractLooking for 10+ yrs. candidate with Banking or financial domain experience.Monday - Friday, 8:00 AM 4:30 PM, Standard business hours.
Description:
Doctoral degree in Statistics, Mathematics, Computer Science, Engineering or another quantitative field, or related field.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.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, and Spark to analyze and gain insights within large data sets.Manage, architect, and analyze big data 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.
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Role: Senior Data Scientist - Presidents Office
Location: Merrifield, VA (Hybrid)Duration: 12+ Months Long Term ContractLooking for 10+ yrs. candidate with Banking or financial domain experience.Monday - Friday, 8:00 AM 4:30 PM, Standard business hours.
Description:
Doctoral degree in Statistics, Mathematics, Computer Science, Engineering or another quantitative field, or related field.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.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, and Spark to analyze and gain insights within large data sets.Manage, architect, and analyze big data 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.
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