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Data Scientist
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Come work at a place where innovation and teamwork come together to support the most exciting missions in the world!
Job Description
We are seeking a Data Scientist to develop next-generation Security Analytics products. You will work closely with engineers and product managers to prototype, design, develop, and optimize data-driven security solutions.
As a Data Scientist, you will focus on consolidating and analyzing diverse data sources to extract meaningful insights that drive product innovation and process optimization. The ideal candidate has a strong background in quantitative analysis, machine learning, and data-driven decision-making, with experience handling large datasets.
Responsibilities:
- Conduct exploratory data analysis (EDA) and apply statistical methods to extract actionable insights from complex datasets.
- Collaborate with Product Management and cross-functional stakeholders to define problem statements, develop solution strategies, and design scalable ML systems.
- Design, develop, and deploy Machine Learning models, including traditional ML, Deep Learning, and Large Language Models (LLMs), to drive business impact.
- Create insightful data visualizations, technical reports, and presentations to communicate findings to technical and non-technical audiences.
- Deploy ML models in production and implement monitoring frameworks to ensure model performance, stability, and continuous improvement.
Requirements:
- 2-5 years of experience in Machine Learning projects, including model development, deployment, and optimization.
- BS, MS, or Ph.D. in Computer Science, Statistics, or a related field.
- Strong communication, problem-solving, and analytical skills; a collaborative team player.
- Deep understanding of ML algorithms, their mathematical foundations, and real-world trade-offs.
- Expertise in at least two or more ML domains, including Linear Models, Tree-based Models, Traditional NLP, LLMs, Numerical optimization and Reinforcement Learning.
- Hands-on experience with ML frameworks such as Scikit-Learn, TensorFlow, PyTorch, LangChain etc.
- Strong programming skills in Python and/or Java, R, Go, Scala.
- Experience in SQL, Pandas, and PySpark for efficient data manipulation.
- Familiarity with microservice architectures, CI/CD, MLOps best practices.
Nice to Have:
- Generative AI: Experience with fine-tuning and optimizing LLMs.
- Familiarity with distributed computing frameworks such as Hadoop, Spark, and OpenSearch.
- Published research in AI/ML in peer-reviewed journals or top conferences (e.g., NeurIPS, ICML, CVPR).
- Prior experience applying AI/ML to cybersecurity use cases.
- Basic proficiency in Unix/Linux environments for scripting and automation.
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