At one of our incubation companies, we are building a product suite to supercharge cyber security analysts. As a Data Scientist, you will be responsible for building technology that can analyze and enrich large volumes of data to support our product capabilities. 

What You Will Do: 

• Apply machine learning techniques, such as classification, clustering, anomaly detection, or natural language processing, to tackle cybersecurity and big data challenges 
• Build, test, and deploy models into production, ensuring scalability, reliability, and performance 
• Communicate and present data findings, insights, and recommendations to stakeholders and clients 
• Collaborate with other data scientists, engineers, and product managers to deliver end-to-end solutions 
• Experiment and develop solutions applying the latest techniques in machine learning, including generative models towards solving challenges with real-time heterogeneous data. 

Required Qualifications: 

• Bachelor’s degree in computer science, statistics, mathematics, or related field, or equivalent work experience 
• 2+ years of experience in data science, machine learning, or data analytics 
• Proficient in one or more programming languages, such as Python, R, or Scala 
• Experience with data processing and analysis tools, such as SQL, Spark, or Pandas 
• Experience with machine learning frameworks and libraries, such as TensorFlow, PyTorch, or Scikit-learn 
• Experience with cloud platforms and services, such as AWS, Azure, or GCP 

Bonus Points: 

• Familiarity with security concepts, tools, and solutions, such as threat detection, vulnerability scanning, encryption, or authentication 
• Experience with machine learning using graph or network-based data 
• Experience training and tuning LLMs/LFMs 

Benefits: 

• 100% employer paid, comprehensive health care including medical, dental, and vision for you and your family.
• Paid maternity and paternity for 14 weeks at employees' normal pay.
• Unlimited PTO, with management approval with all Federal holidays observed.
• Opportunities for professional development and continued learning.
• Occasional travel to our offices in Washington D.C or alternative locations to collaborate with your team in person.
• Optional 401K and FSA available.
• Ability to work fully remote within the United States.