Sr. Data Scientist

Job Summary

Required Qualifications

• 5+ years of experience as a Data Scientist, Data Engineer, Backend Software Engineer, or similar
• Bachelor’s degree from an accredited college or university with a major in computer science, statistics, mathematics, economics, or related field
• Strong skills in Python, R, and SQL
• Proficient in handling large-scale data projects involving data integration, cleaning, ETL, analysis, aggregation, tabulation, and reporting
• Experience with data privacy protection and related statistical methodologies is a plus
• Experience developing and implementing data reliability, efficiency, and quality checks and processes
• Experience leveraging AWS services (e.g., S3, EMR, Glue, Lambda, Athena, Redshift, SageMaker, QuickSight) to build and deploy data solutions in a cloud-native environment
• Experience with structured and unstructured databases (such as Oracle, PostGreSQL, MySQL, Athena, Redshift, MongoDB etc)
• Experience working in an Agile organization using Scrum, Kanban, Jira, Confluence, and SAFe
• Experience with GitHub, Subversion, or other source control systems
• Experience managing, testing, and deploying software components within SDLC
• Knowledge of DevOps practices and tools (e.g., Jenkins, GitLab CI/CD)
• Excellent communication and teamwork skills
• Demonstrated understanding of project management, schedules, and how to estimate the level of effort for development tasks
• Experience evaluating proposed systems and recommending improvements; Strong skills preparing and presenting design/architectural documents to clients
• Requires a Public Trust - must be US Citizen to be eligible
• Preferred Qualifications:
• Experience with and interest in AI/ML, statistics, data modeling, and advanced math highly preferred
• Experience with SAS, Apache Spark, PySpark preferred
• Experience with Optimization Theory or Gurobi model development preferred, but not required
• Experience with data platforms such as Cube, Athena, Redshift, Databricks, Palantir, Snowflake, Google BigQuery
• Familiarity with distributed high-performance computing (HPC) and parallel processing
• Familiarity with demographic, economic, longitudinal, and geospatial data sources and structures
• Experience with microservices architecture and containerization (e.g., Docker, Ansible, Kubernetes)
• ActioNet is a CMMI-DEV Level 4, CMMI-SVC Level 4, ISO 20000, ISO 27001, ISO 9001, HDI-certified, woman-owned IT Solutions Provider with strong qualifications and expertise in Agile Software Engineering, Cloud Solutions, Cyber Security, and IT Managed Services