Chief Data Scientist (GAP CTO)

Key Skills

Python Programming, SQL, Cloud computing

Job Description

• Guides the successful completion of major programs and may function in a project leadership role.
• Develops data-driven solutions to unusually complex business challenges.
• Utilizes advanced tools and computational skills to interpret, connect, predict and make discoveries in complex data and deliver recommendations for business and analytic decisions.
• Uses predictive modeling to increase and optimize customer experiences, efficiencies, process improvements, and other business outcomes.
• Works with stakeholders throughout the organization to identify opportunities for leveraging company data to drive business solutions.
• May coach and review the work of less-experienced professionals.
• May serve as a team or task leader. (Not a people manager)
• Designs, researches and develops highly advanced processes, which may result in new product/business opportunities

Required qualifications include:

• MA or MS degree in Computer Science, Engineering, Statistics, Mathematics, Data Science, or related technical field
• Must have an active Top Secret security clearance and able to obtain a TS/SCI
• 3 years of experience with big data tools: Hadoop, Spark, Kafka, NiFi.
• 3 years of experience with object-oriented/object function scripting languages: Python (preferred) and/or Java.
• 3 years of experience with and managing data across relational SQL and NoSQL databases like MySQL, Postgres, Cassandra, HDFS, Redis, and Elasticsearch.
• 3 years of experience working in a Linux environment.
• 2 years of experience working with and designing REST APIs.
• Experience in designing/developing platform components like caching, messaging, event processing, automation, transformation and tooling frameworks.
• Experience developing data ingest workflows with stream-processing systems: Spark-Streaming, Kafka Streams and/or Flink.
• Experience transforming data in various formats, including JSON, XML, CSV, and zipped files.
• Experience with performance tuning of ETL jobs.
• Experience developing flexible ontologies to fit data from multiple sources and implementing the ontology in the form of database mappings / schemas.
• Strong interpersonal and communication skills necessary to work effectively with customers and other team members.
• Must have an active Top Secret security clearance and able to obtain a TS/SCI.
• 15+ years experience in data science or related field.

Preferred qualifications include:

• PhD in Data Science or related technical field.
• Data engineering experience in the Intelligence Community or other government agencies.
• Experience with Microservices architecture components, including Docker and Kubernetes.
• Experience developing microservices to fit data cleansing, transformation and enrichment needs.
• Experience with AWS cloud services: EC2, S3, EMR, RDS, Redshift, Athena and/or Glue.
• Experience with Jira, Confluence and extensive experience with Agile methodologies.
• Knowledge about security and best practices.
• Experience developing flexible data ingest and enrichment pipelines, to easily accommodate new and existing data sources.
• Experience with software configuration management tools such as Git/Gitlab, Salt, Confluence, etc.
• Experience with continuous integration and deployment (CI/CD) pipelines and their enabling tools such as Jenkins, Nexus, etc.
• Detailed oriented/self-motivated with the ability to learn and deploy new technology quickly.