Senior Data Scientist (TSSCI with Polygraph)

Culturally it probably suffices to say that we take our work seriously but not ourselves. Our leaders have spent time in the trenches and have cursed daylight savings time changes and trailing whitespace as many times as you have. We like to say that we spend 80% of our time cleaning the 20% of our time complaining about cleaning the data. Joking aside our voices matter and it is easy to see how our decisions affect the Data Science practice and Red Alpha as a whole. We have a clear vision of where we are headed.

• Develop high-perforamnce data parsersfor extremely large and complex datasets
• Implement and manage various database systems including graph SQL NoSQL and vector databases
• Collaborate with AI/ML engineers and data scientists to understand data requirements and optimize data access and retrieval for AI models
• Ensure data quality integrity and security across all data storage solutions
• Support the deployment and maintenance of AI applications by providing expert data engineering capabilities
• Familiarity with AI concepts in the context of data storage access and retrieval
• Continuously optimize data infrastructure for performance cost-efficiency and scalability

All of our data scientists need the following skills:

• Proficiency with a scripting language such as R or Python
• Experience with data science techniques and algorithms such as classification clustering random forests deterministic forests (jk) hierarchical modeling deep learning Markov Chain Monte Carlo and others. Note that you do not need to have all of these (we hope you enjoyed our random smattering of techniques!) but you should be comfortable and capable with several of them and know some others not on this list.
• A B.S. Degree in Data Science Mathematics Computer Science or related field.
• For entry-level data scientists 0-3 years of experience on Data Science projects.
• For mid-level data scientists 3-6 years of experience on Data Science projects.
• For senior-level data scientists at least 6 years of experience on Data Science projects with at least 3 years of experience managing teams.
• A TS/SCI with Polygraph security clearance.

For this particular role you will specifically need:

• 8 years of relevant experience. A higher degree may be accepted in lieu of years of experience.
• Advanced proficiency in programming languages commonly used for data engineering (e.g. Python Java Scala)
• Demonstrated expertise in designing developing and optimizing data pipelines for large-scale enterprise environments
• Proven experience with corporate dataflows and developing data parsers for extremely large datasets
• Extensive experience with various database technologies including graph databases (e.g. Neo4j) SQL databases (e.g. PostgreSQL MySQL) NoSQL databases (e.g. MongoDB Cassandra) and vector databases
• Familiarity with cloud platforms (AWS Microsoft Azure) for data storage and processing

These are important skills to have but not necessarily mandatory:

• Experience with data governance data security and compliance best practices
• Familiarity with big data technologies such as Hadoop Spark or Kafka.
• Experience with data warehousing concepts and tools
• Continuous learning mindset to stay abreast of cutting-edge data engineering and AI advancements
• Understanding of machine learning concepts and their implications for data infrastructure
• Excellent communication and interpersonal skills with the ability to effectively collaborate with cross-functional teams
• Ability to translate complex data requirements into actionable engineering solutions