Be an early applicantLess than 25 applicantsPosted by Agency
NAVA Software Solutions ยท 3 days ago
Data Scientist
Fairfax, VA
Full-time
Hybrid
Senior Level
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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 various modeling types to solve business problems: classification, regression, time series, clustering, text analytics, survival, association, optimization, reinforcement learning
Advanced knowledge of techniques such as dimension reduction, natural language processing, sentiment analysis, anomaly detection, geospatial analytics, etc.
Demonstrates a deep understanding of the modeling lifecycle
Advanced skill in data mining, data wrangling, and data transformation with both structured and unstructured data; deep understanding of data models
Advanced skill in 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 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
Qualification
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Required
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
Preferred
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
Company
NAVA Software Solutions
Nava Software Solutions specializes in application development, IT staff augmentation, cloud infrastructure support and training solutions.
51-200 employees
H1B Sponsorship
NAVA Software Solutions has a track record of offering H1B sponsorships. Please note that this does not
guarantee sponsorship for this specific role. Below presents additional info for your
reference. (Data Powered by US Department of Labor)
Distribution of Different Job Fields Receiving Sponsorship
Trends of Total Sponsorships
2023 (3)
2022 (4)
2021 (6)
2020 (7)
Funding
Current Stage
Growth StageLeadership Team
Anupam Dayal
Sr. Partnerships & Program Manager
Kim Lewis
Sr. Product Owner & Partnership Manager
Company data provided by crunchbase
