Caerus teams are creative, agile, and problem-driven.

Our people come from diverse backgrounds, cooperate across fields and sectors, and are passionate about solving problems.


Our Openings

Software Developer

Caerus Associates is seeking a software developer to help design, build, test, implement, and monitor real-time data processing pipelines at USG customer sites. You will work with other developers as well as data scientists to scale and refine developed algorithms/data processing methods for speed and accuracy on large amounts of streaming data. Candidates should be able to work effectively independently, in distributed teams, and engage with clients. Our architecture is built around MongoDB, RabbitMQ, Redis, and Spark, with most of our code written in Python.

Qualified candidates must possess an active TS/SCI.

Must be a U.S. citizen.

Applications will be accepted until position is filled.

CLICK HERE FOR MORE INFORMATION.

Please apply via Recruiterbox here.

Data Scientist

Caerus is seeking an experienced data scientist to support a groundbreaking research team of social and computer scientists developing tools to support engaged end-users across the defense and intelligence communities.

The ideal candidate will be able to design research strategies based on customer requests, identify relevant data, and implement statistical and analytic functions in a cloud computing environment. We are a tool agnostic team, but applicants should have experience creating analytics in Python as well as handling multiple data types and formats. Familiarity with MapReduce/Hadoop and HDFS is also desirable.

Must be a U.S. citizen.

Applications will be accepted until position is filled.

CLICK HERE FOR MORE INFORMATION.

Please apply via Recruiterbox here.

Data Analyst

Caerus is seeking data scientists, developers, and data visualization experts to support a groundbreaking research team of social and computer scientists developing tools to support engaged end-users across the defense and intelligence communities.

The ideal candidate will be able to design research strategies based on customer requests, identify relevant data, and implement statistical and analytic functions in a cloud computing environment. We are a tool agnostic team, but applicants should have experience creating analytics in Python as well as handling multiple data types and formats. Familiarity with MapReduce/Hadoop and HDFS is also desirable.

Must be a U.S. citizen.

Applications will be accepted until position is filled.

CLICK HERE FOR MORE INFORMATION.

Please apply via Recruiterbox here.