Salesforce Developer
Role details
Job location
Tech stack
Job description
Big Data, Equities Metadata Databricks Apache Pig Mathematics Data Mining Market Data Data Science Apache Spark Data Analysis Reengineering Text Database Linux Commands Ad Hoc Analysis Data Conversion Ancient History Spatial Analysis Docker (Software) Production Process Data Visualization Cloud Applications Programming Languages Quantitative Analysis ArcGIS (GIS Software) Command-Line Interface R (Programming Language) SQL (Programming Language) Java (Programming Language) Database Storage Structures Database Management Systems Python (Programming Language) JavaScript (Programming Language) Top Secret-Sensitive Compartmented Information (TS/SCI Clearance), Leidos has an opening for a Exploitation Specialist/Data Scientist- Senior supporting our customer in Springfield Virginia.
Primary Responsibilities
- Collect process data and perform data analysis.
- Integrate centralized protect and maintain data in DBMS.
- Clean, condition, and organize data.
- Perform ad hoc analysis and present results in a clear manner.
- Communicate complex quantitative analysis in a clear, precise and actionable manner using storytelling/visualization.
- Create/deploy/maintain cloud applications to support migration of data and production processes
- Create/deploy/maintain tools to extract features data and metadata from a variety of sources, including raster to vector, vector to vector text, text to vector and text database.
- Write/maintain Python scripts in ArcGIS to improve efficiency of the production process.
- Support business processing re-engineering.
- Perform data conversion/migration., Research Equities Metadata Automation Innovation Data Store Ontologies Scalability Market Data Linguistics Data Science Data Analysis Data Pipelines Knowledge Graph Ancient History Machine Learning Data Engineering Russian Language Critical Thinking Unstructured Data Advanced Analytics Feature Extraction Statistical Methods Workflow Automation Pattern Recognition Statistical Analysis Imagery Intelligence Quantitative Analysis ArcGIS (GIS Software) Artificial Intelligence Geospatial Intelligence R (Programming Language) Data-Structured Language SQL (Programming Language) Spatial Data Infrastructures Python (Programming Language) Natural Language Processing (NLP) Top Secret-Sensitive Compartmented Information (TS/SCI Clearance) +0
Salesforce Developer Senior Data Scientist Leidos Springfield, VA*On-Site Jupyter Big Data Equities Metadata Databricks Apache Pig Mathematics Data Mining Market Data Data Science Apache Spark Data Analysis Reengineering Text Database Linux Commands Ad Hoc Analysis Data Conversion Ancient History Spatial Analysis Docker (Software) Production Process Data Visualization Cloud Applications Programming Languages Quantitative Analysis ArcGIS (GIS Software) Command-Line Interface R (Programming Language) SQL (Programming Language) Java (Programming Language) Database Storage Structures Database Management Systems Python (Programming Language)
Requirements
- Typically requires a Bachelor's degree and 8 - 12 years of prior relevant experience or Master's degree with 6 - 10 years of prior relevant experience.
- Quantitative BS + 10 yrs or quantitative MS + 7 yrs.
- Programming (Python/Pig/Java/JS/SQL/R), spatial analysis, data mining, database structures, visualization.
- Statistical/mathematical modeling.
- Experience managing data science projects, data mining, spatio-temporal analysis. Docker/Jupyter Hub/GIT.
- Experience with big data" processing and analytics (Databricks/Apache Spark or similar).
- Active TS/SCI with ability to be approved for a Poly
Preferred Qualifications
- Quantitative PhD.
- Deep learning for data science.
- 2+ programming languages, 2+ data visualization tools, 2+ cloud technologies.
- Windows/Linux command line interface (CLI) experience.
- Demonstrated IC experience.
If you're looking for comfort, keep scrolling. At Leidos, we outthink, outbuild, and outpace the status quo - because the mission demands it. We're not hiring followers. We're recruiting the ones who disrupt, provoke, and refuse to fail. Step 10 is ancient history. We're already at step 30 - and moving faster than anyone else dares., Planning Equities DevSecOps Leadership Management Mentorship Governance Innovation Statistics TensorFlow Mathematics Scalability Peer Review Market Data Goal Setting Data Science Data Sharing Cryptography Communication Data Analysis Data Security Apache Hadoop Data Pipelines Responsible AI Test Automation Microsoft Azure Problem Solving Data Governance Data Encryption Ancient History Computer Science Machine Learning Model Validation Data Engineering Product Planning Agile Methodology Project Management Performance Metric Data Visualization Workforce Planning Amazon Web Services Predictive Modeling Feature Engineering Operationalizing AI Statistical Modeling Top Secret Clearance Predictive Analytics Performance Appraisal Programming Languages Performance Management Cloud-Native Computing Artificial Intelligence Concept Drift Detection R (Programming Language) SQL (Programming Language) Machine Learning Algorithms Python (Programming Language) Scikit-Learn (Python Package) Continuous Improvement Process PyTorch (Machine Learning Library) Tableau (Business Intelligence Software) Secret Internet Protocol Router Network (SIPRNet)
Benefits & conditions
Pay and benefits are fundamental to any career decision. That's why we craft compensation packages that reflect the importance of the work we do for our customers. Employment benefits include competitive compensation, Health and Wellness programs, Income Protection, Paid Leave and Retirement. More details are available at www.leidos.com/careers/pay-benefits .