Associate Data Scientist
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1 Vacancy
Job Description
As an Associate Data Scientist at CyberArk youll join a team shaping the future of identity security and protecting the emerging agentic AI landscape. You will work alongside experienced data scientists ML and data engineers software developers and product managers to research build and validate AI/ML solutions that help safeguard the worlds most critical digital assets.
This is an opportunity to launch your data science career by solving real-world problems at scale while learning from leaders in the cybersecurity and AI space.
- Research train and and deploy to production variety of machine learning models including supervised and unsupervised models and LLM based solutions.
- Explore and analyze large-scale datasets to uncover patterns and drive actionable insights.
- Collaborate closely with product managers engineers and analysts to support feature development and validate ML ideas.
- Stay up to date with the latest academic and industry trends in AI/ML and apply best practices to real-world challenges.
- Grow your skills in classic machine learning deep learning natural language processing (NLP) LLMs and cybersecurity applications.
#LI-Hybrid
#LI-OS1
Qualifications :
What you need to succeed:
- BSc or MSc in Computer Science Statistics Mathematics Engineering Data Science or related field (recent graduates welcome). GPA above 88.
- Solid understanding of machine learning fundamentals and a strong grasp of data structures algorithms and probability.
- Proficiency in Python and familiarity with data science libraries such as Pandas NumPy scikit-learn or similar.
- 0-1 years of experience. Any hands-on experience is a bonus (personal or course-related projects also count!).
- Passion for solving meaningful problems and eagerness to learn in a fast-paced collaborative environment.
- Strong communication skills and ability to explain technical concepts to different audiences.
Additional Information :
How you will stand out from the crowd:
- Exposure to deep learning frameworks (e.g. PyTorch TensorFlow) or NLP libraries (e.g. Hugging Face).
- Experience working with cloud platforms (e.g. AWS GCP) or distributed data tools (e.g. Spark).
- Knowledge or interest in cybersecurity a big plus!
Remote Work :
No
Employment Type :
Full-time
Employment Type
Full-time
