Data Scientist

Security Clearance: Active TS/SCI with FS Polygraph required

Position

Seeking a Data Scientist to support an Intelligence Client.

What You'll Do

• Assemble large, complex sets of data to meet functional and other requirements
• Build models, test hypotheses, interpret, summarize, visualize, and succinctly report on data findings
• Construct and perform complex database search queries in multiple databases using SQL and API interfaces
• Curate and maintain data stores in support of metrics and evaluation
• Design, build, test, maintain, and automate data collection/pipelines to optimize data delivery, and automate manual processes
• Communicate and/or present product insights to technical and non-technical individuals

Required

• Bachelor's Degree in Data Science, Machine Learning, Computer Science, Electrical Engineering, Physics, Statistics, Quantitative Finance, Econometrics, Economics, Mathematics, Analysis, Operations Research or other related programs, with 3+ years of experience (or 3 additional years of experience in lieu of degree)
• Proficiency with open-source programming languages (e.g. Python, R, SQL) and machine learning toolkits (e.g. pytorch, numpy, polars, scikit-learn, tensorflow, pandas) 
• Proficiency using mathematical, statistical, or other data-driven analysis
• Proficiency with APIs; both development/update of internal APIs and use of external APIs
• Experience with data manipulation, analysis, analytic/business insight tools, and data visualization
• Experience in applying qualitative and quantitative data analysis methods to analytics problems
• Critical thinking and problem-solving skills for datasets which are unstructured
• Ability to, or demonstrated experience, obtain structured and unstructured data from multiple sources, synthesizing it, and then presenting the results effectively and concisely in written and graphic form to internal and external stakeholders.
• Ability to, or demonstrated experience, interacting with customers to coordinate requirements and resolve data questions
• Proficiency working independently or as a member of a team to research, organize, and analyze information
• Must have strong interpersonal and communication skills
  

Desired

• Experience with transforming, manipulating, and combining data using a programming language, such as Python
• Experience with using git, or similar version control systems
• Experience with extract, transform and load (ETL) development for data ingest pipelines
• Experience with relational databases, MySQL, NiFi, Kafka, Elastic MapReduce (EMR) Hbase, Elastic, Splunk, Spring
• Experience with CI/CD pipelines
• Ability to, or demonstrated experience, researching and evaluating the latest emerging technologies and applying them
• Experience providing analytical judgement and trend analysis based on research and comparisons with past products.Experience with the Sponsor’s data handling procedures
  
• Experience translating customer requirements into project or system specifications

Useful Addtional Skills and Experience

• M.S. or PhD in a quantitative or STEM related major
• Experience with large scale ETL from multiple sources
• Experience with AWS or cloud computing; experience developing and deploying code in a cloud-based environment.
• Experience with Docker or containers
• Experience with Databricks
• Experience with Graph Databases (e.g. Neo4j, Neptune)
• Experience with Graph Analytics
• Experience with Kubernetes
• Experience with Spark
• Experience programming with distributed computing
• Demonstrated experience working with sponsor business or mission data, sponsor applications, or sponsor database structures

What You'll Love About Apogee

• Challenging work in support of US Intel Community - a Mission that Matters!
• Access to our cool ApogeePlex facility