Data Scientist
Posted on 1/12/2024
INACTIVE
Red Cell Partners

51-200 employees

Incubates scalable tech companies for healthcare and national security
Company Overview
Red Cell Partners stands out as a leading incubation firm, specializing in the creation of technology-driven companies that are significantly impacting the healthcare and national security sectors. Their competitive advantage lies in their commitment to addressing critical national issues, which is reflected in their development of potent tools and solutions. The company's culture is defined by a shared sense of duty and a strong belief in the transformative power of technology, fostering an environment that encourages growth and scalability.
AI & Machine Learning
Aerospace

Company Stage

N/A

Total Funding

N/A

Founded

2020

Headquarters

McLean, Virginia

Growth & Insights
Headcount

6 month growth

16%

1 year growth

44%

2 year growth

287%
Locations
Remote in USA
Experience Level
Entry
Junior
Mid
Senior
Expert
Desired Skills
Microsoft Azure
Python
Data Science
Tensorflow
R
Pytorch
Apache Spark
SQL
AWS
Pandas
Scala
Natural Language Processing (NLP)
Data Analysis
Google Cloud Platform
CategoriesNew
AI & Machine Learning
Data & Analytics
Requirements
  • 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
Responsibilities
  • 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
Desired Qualifications
  • 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