דרושים » תוכנה » Senior data Scientist

Requirements:
What you need to succeed:
Minimum 5 years of relevant work experience in AI/ML and Data Science, or PhD with 3 years.
Masters degree or PhD in a quantitative field Computer Science, Mathematics, Statistics, Engineering etc.
Hands-on experience with frameworks such as scikit-learn, PyTorch, Hugging Face, TensorFlow, or equivalent tools for model development and training.
Proven ability to apply statistical modeling and machine learning methods to real-world problems, ideally in the context of cybersecurity or related fields.
Proven track record of successfully taking AI/ML project inception to production
Proficient in communicating technical ideas and collaborating effectively across teams and organizational stakeholders.
Team player, responsible, accountable, delivery oriented and with a can do approach
Additional Information
How you will stand out from the crowd: 
AWS ecosystem (SageMaker, Glue, Athena, Redshift, EMR) and Spark - an advantage
Background in cyber security a strong advantage.

Requirements:
- 4+ years of experience in data science/analytics.

- Strong problem-solving skills with an emphasis on product development.

- Advantage to those who have experience in stock/futures prediction.

- Experience using statistical computer languages (Python) to manipulate data and draw insights from large data sets.

- Knowledge of a variety of machine learning techniques (clustering, decision tree learning, artificial neural networks, etc.).

- auto sklearn.

- catboost.

- arima.

- lstm.

- deep learning.

- gan.

- Coding knowledge and experience with:

- javascript.

- python.

- experience with mongodb.

Requirements:
?? What We're Looking For Proven experience managing data /analytics teams Hands-on experience working with both B2B and B2C data Strong background in working with Big Data Strategic thinker with the ability to thrive in a fast-paced, ever-evolving environment?? Bonus Points For: Experience in the gaming industry

Requirements:
Experience in leveraging or critically thinking about how to integrate AI into work processes, decision-making, or problem-solving. This may include using AI-powered tools, automating workflows, analyzing AI-driven insights, or exploring AIs potential impact on the function or industry.
5-8 years of experience leading AI product security or security development team(s), with an emphasis on scoping and overseeing delivery of AI security practices.
Knowledge of current academic work in adversarial attacks of LLMs such as prompt injection, jailbreaks, data poisoning, and OWASP LLM Top 10 vulnerabilities.
Knowledge of regulatory and compliance standards related to AI and data security.
Strong interpersonal skills (written and oral communication) and the ability to work collaboratively in a team environment.
Experience building project plans, goal setting, managing deadlines, and monitoring project progress.
An analytical mind for problem solving, abstract thought, and offensive security tactics.
Understanding of probability theory, linear algebra and calculus recommended.
Postgraduate degree and/or related certifications in Machine Learning or Artificial Intelligence. PhD or Masters in AI/ML preferred.