Data Scientist, NIWC PAC, San Diego (Active TS/SCI Clearance Only)
Rhombus Power is purposefully transforming defense and global security enterprises with Guardian, our Artificial Intelligence platform for strategic, operational, and tactical decision-making at the speed of relevance.
We provide relevant, actionable, and AI-powered insights at each step in the defense decision-making cycle. Equipped with Guardian's AI-powered tools-- from infrastructure to data to insights -- our clients are able to solve their most complex, interconnected challenges and achieve decision and operational superiority.
Come join our cross-disciplinary and world-class team that is delivering game-changing solutions to transform global security.
Learn more about Rhombus and watch a demonstration of Guardian, our AI Platform here -- https://youtube.com/watch?v=3PxY6su1Q-Q
See the following articles to learn more about what we do:
https://apnews.com/article/us-intelligence-services-ai-models-9471e8c5703306eb29f6c971b6923187
Please note: Only Active TS/SCI clearance holding candidates will be considered for this position.
Location
San Diego, CA (Embedded with client)
Job Description
Calling America’s best systems-thinkers and mission-driven ‘doers’- we need you.
Team Rhombus solves essential national security problems and as we continue to grow, we need your help in driving real impact on some of our key national security initiatives across the country.
As a Data Scientist, you will be embedded with our San Diego-based client, the Naval Information Warfare Center Pacific (NIWC PAC) to help solve essential problems to deterrence.
You’ll be pulling data sources, cleaning data, setting up machine learning problems, code solutions to physical problems, and set up and run machine learning problems. You’ll be working with code blocks from Rhombus, but the problem sets will be highly classified.
This is an ambitious role that will make formative impacts on topical deterrence issues, combined with significant opportunities for growth at Rhombus. We’re seeking candidates that understand how high the stakes are, and are happy to do whatever it takes to get the job done. You’ll work in small teams to fully own the delivery of high stakes projects with our client. A typical work day will include building LLM workflows at scale, interacting with the customers to better understand their needs and set an AI strategy, but the most impact will be driven by developing solutions.
Please note: Only Active TS/SCI clearance holding candidates will be considered for this position.
What we seek:
- You’ll use your experience in data science, data engineering, and in machine learning to lead analytical exploration and data examination while you manage the assessment, design, building, and maintenance of scalable platforms for our client.
- Bring your systems-level mindset and focus on delivering production solutions with AI, data processing pipelines, and advanced analytics tools.
- Discover datasets that could help in solution development, and design, create, and implement quantitative models.
- Candidates are able to conduct validation and quality assurance of data, models and results with minimal supervision and guidance.
- Ability to collaborate efficiently in teams of technical and non-technical individuals.
- Comfort working in a dynamic environment with evolving objectives and direct iteration with users.
Qualifications:
- Active TS/SCI Clearance is a requirement
- A strong academic background in Statistics, Mathematics, Engineering, or similar degree is highly desired. We prefer candidates to hold at minimum a Masters degree. We have multiple openings!
- Exceptional academic and industry experience with Python and especially with data handling libraries such as Pandas and PyArrow
- Strong background in database management solutions, familiarity with databases such as MySQL and Oracle
- Large-scale data processing and implementing batch processing pipelines in HPC or cloud architecture
- Experience with Cloud Computing environments (AWS, GCloud, Azure) is a plus
- Deep experience with programming and scripting languages, with a strong focus on Python, Pandas and Numpy. Other languages include: Shell, PERL, Java, C/C++/C#, Scala, etc.
- Exceptional technical fluency in machine learning frameworks (such as TensorFlow, Scikit-Learn, etc.)
Personal Qualities:
- Ability to contextualize data as it relates to Rhombus’ vision. We want someone who can understand the “why” and “so what”, and not just the “how”. Our Data Scientists help us transmit the enthusiasm we have around the data work to the individuals doing that work.
- Must have strong problem-solving skills and demonstrated excellent oral and written communication skills.
- We’re seeking candidates with strong intellectual curiosity and creativity, with an ability and willingness to learn new skills and apply novel solutions to problems.
- Comfort in a fast-paced start-up environment is crucial, with the ability to consistently revise your approach in response to new information, and to be flexible and adaptive.
Benefits
- Full medical, dental, vision coverage for employee and dependents
- 401k matching program
- PTO and Holidays
- Bonus and other incentive programs
- Access to mental health program
- Access to Flexible Spending Accounts for Health Care, Dependent and Commuter
About Rhombus
Rhombus Power Inc. (Rhombus) is a startup located in the heart of Silicon Valley at Stanford Research Park in Palo Alto. We use cutting-edge cross-disciplinary approaches to solve pressing Big Data and Sensing problems in security, energy, and healthcare. Our advisory board includes two Nobel Laureates and a Draper Prize winner.
Rhombus compensates, motivates, and develops employees, who are trusted, empowered, and involved. Employees have clear roles and expectations – and their roles are flexible enough to move at the speed of innovation in order to meet and exceed client expectations. We have a unique culture of global purpose, rooted in the innovation and progress of Silicon Valley.
Rhombus knows that diversity is a condition for success. We are committed to hiring and retaining a diverse workforce. We are proud to be an Equal Opportunity/Affirmative Action Employer.
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