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Senior Data Scientist - Arlington Virginia
Company: CACI International Location: Arlington, Virginia
Posted On: 04/25/2024
Senior Data Scientist Job Category: Science Time Type: Full time Minimum Clearance Required to Start: Secret Employee Type: Regular Percentage of Travel Required: Up to 10% Type of Travel: Local The CACI team is looking to add a Senior Data Scientist to their growing software development contract with the Department of State in Rosslyn, VA. The role will support complex and scalable data analytic service and data lake projects that provide business intelligence, analysis, and dashboard reporting to our customer's mission. The Senior Data Scientist will work with stakeholders to leverage data to drive business value. In addition, they are responsible for mining and analyzing data to drive efficiency and optimization, developing custom data models and algorithms, and developing processes and tools to monitor production systems and data accuracy. What You'll Get to Do: -
The ability to develop and deploy the pipelines and platforms that make data meaningful. -
Follow the analytical requirements and support Chief Data Officer's methodologies to leverage data and analytical models to drive business value. -
Present ideas and recommendations on data handling and data parsing technologies to management -
Collaborate with and across Agile teams to design, develop, test, implement, and support technical solutions in full-stack development tools and technologies. You'll Bring These Qualifications: -
Active secret clearance is required -
Master's in a technical discipline plus three (3) years of experience; or Bachelor's in a technical field plus seven (7) years of experience. -
Strong math and applied statistical skills and good knowledge of machine learning methods, -
Proficiency in data wrangling and handling imperfection and heterogenous data input sources -
5+ years of experience in application development including Python/R, SQL, or Java -
3 years of development experience in Python for data processing and analysis -
2+ years of experience with a public cloud (AWS/Microsoft Azure/Google Cloud) -
Experience developing best practices on designing components of the data model for a functional area of a project. -
Soft skills including but not limited to excellent problem-solving aptitude, detail orientation, analytical mind, and great business sense. -
Excellent communication and skills (verbal and written). These Qualifications Would be Nice to Have: - Knowledge of ETL processes using SQL and/or other analytical tools such as Azure Analytics and Synapse Analytics as well as Microsoft Purview, to efficiently import structured, semi-structured, and unstructured data from new and/or dynamic data sources, ensuring data validity, reliability and data governing
What We Can Offer You: |
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