Senior Data Scientist (TS/SCI with Polygraph)
About The Position
The Red Alpha Data Science practice grew out of Red Alpha's reputation in Software and System Engineering with our Department of Defense clients. As sometimes happens, customers who trust our expertise in adjacent areas asked Red Alpha to assist with some of their burgeoning Data Science problems. 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 data...and 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. Our team takes a pragmatic approach to Data Science, defining it loosely as the intersection of technical expertise, business acumen, and soft skills to solve business problems with data. We spend a lot of time trying to understand the problem before we set about building a solution, and we prefer lower tech useful solutions over shiny algorithms and dust on the shelf. Did we mention we’re pragmatic? We have a diverse set of skills across our team, and whether you are a traditional Data Scientist (whatever that means…), an Applied Research Mathematician, a Database Engineer, a Full Stack Developer, or something else in that neighborhood, if you have a knack for picking apart data to make sense of it, we would enjoy having a conversation with you.
Requirements
- 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, hierarchical modeling, deep learning, Markov Chain Monte Carlo, and others.
- A B.S. Degree in Data Science, Mathematics, Computer Science or related field.
- 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.
- 8+ years of relevant 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
Nice To Haves
- 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
Responsibilities
- Develop high-performance data parsers for 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
Benefits
- Competitive base salary
- Health insurance
- Life/disability insurance
- 401k
- Paid time off
- Professional development
- Generous bonus programs
- Up to 10% in 401k contributions, immediately vested
- Up to 5 weeks of leave (25 days of personal time off)
- 11 paid floating holidays
- 100% of premiums for comprehensive health, dental, and vision insurance paid
- Majority of premiums for family health insurance paid
- $5250 per year towards ongoing education, trainings, certifications, and maintaining professional memberships
- Up to $300 per year on company branded merchandise
- Company events (Oktoberfest, summer picnic, annual holiday party)
- Team events (happy hours, baseball games, snowboarding, RenFest)
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What This Job Offers
Job Type
Full-time
Career Level
Senior
