לוח משרות דרושים Data Scientist עבודה היברידית

We are seeking an experienced and visionary Data Scientist to join our dynamic technology organization. The successful candidate will be a part of a team of talented data scientists, driving innovation and delivering business value through advanced machine learning techniques and Generative AI solutions. This role requires a strategic thinker with hands-on expertise in both traditional and cutting-edge data science methodologies, and a passion for continuous learning and development.
Responsibilities:
Gradient boosting techniques (e.g., XGBoost, LightGBM, CatBoost) are used to enhance predictive accuracy and model robustness.
Drive the exploration and integration of Generative AI applications, including Large Language Models (LLMs), to create innovative solutions for our products and services.
Collaborate with cross-functional teams (engineering, product, business) to translate business requirements into actionable data science projects.
Establish best practices for model development, validation, deployment, and monitoring in production environments.
Promote a data-driven culture, encouraging experimentation, sharing of knowledge, and adoption of state-of-the-art technologies.
Communicate project progress, insights, and results to stakeholders at all levels of the organization. Design, implement, and optimize classic machine learning models to solve complex business problems.

We are seeking an experienced and analytical Intelligence Methodologist to join our new Gen AI team .
You will collaborate with analysts, product managers, data scientists and developers to design and optimize investigative workflows, ensuring our solutions address real-world intelligence challenges effectively.
This is a unique opportunity to combine your expertise in intelligence methods with cutting-edge conversational Gen AI technology.
you will:
Fostering cross-functional communication and bridging collaboration between Product Management, Data Science, and Development teams to design knowledge structures, training logic, and investigative methodologies that drive LLM-based conversational AI.
Develop and curate high-quality domain-specific datasets for training and evaluation.
Communicate findings, progress to stakeholders, and provide recommendations for further enhancements.
Provide expert knowledge and insights to ensure the LLM agent understands and processes domain-specific language accurately.
Design, document, and refine methodologies for conducting intelligence investigations.
Train intelligence analysts on the use of methodologies and tools.
Create documentation and training materials to support effective adoption of workflows.
Collaborate with internal teams and external partners to understand operational requirements.

We are looking for a highly motivated candidate to join our Data Science team - If you are passionate about NLP \LLMs and have 4+ years in the field, this is for you!

We are a leading innovator in the financial compliance space, serving some of the worlds largest banks and financial institutions. As a Senior Data Scientist, youll be at the forefront of this critical mission - to help these organizations meet regulatory obligations by monitoring vast volumes of employee communications.

Our team is responsible for developing advanced NLP\LLM based solutions that can detect rare and subtle indicators of suspicious behavior hidden within massive streams of unstructured text. This is a high-impact role that requires balancing accuracy, scalability, and cost-efficiency in a production environment.

What Youll Do:
Lead data science project E2E: Research, experiment, develop and productize advanced NLP, LLM and autonomous agent solutions in various domains such as classification, summarization, translation, information retrieval and AI assistant.
Use advanced deep learning and large language models, to enhance our ability to find the needle in a haystack in the world of structured & unstructured data of financial electronic communication.
Conduct rigorous experimentation, analysis, and optimization to ensure performance, efficiency, and scalability.
Develop processes, tools and frameworks to monitor and analyze model performance and data accuracy.
Innovate, develop, and test state-of-the-art approaches to solve our challenging problems: domain adaptation, fine-tuning, prompt engineering, zero- and few-shot learning, autonomous agents, using open and close large language models.
Assist and mentor other team members in the implementation and research.
Collaborate closely with domain experts, product and engineering teams to translate research breakthroughs into scalable commercial products.
Identify the latest technology to improve our AI capabilities in a variety of languages and help shaping our AI roadmap.

Thinking about where to invest your Hanukkah gelt? We offer the smartest option data -driven, validated credit models.
Were hiring a Validation data Scientist to join our team in a hybrid high-tech environment on the train line in Tel Aviv and help make ML credit models as reliable as the eight nights of Hanukkah.
This is a 9-month contract with the possibility of extension, perfect for someone who loves analytical challenges and working closely with cutting-edge ML models.
What youll do:
Validate ML credit models: assess performance, data quality, robustness, and conceptual soundness
Challenge model assumptions and suggest alternative approaches
Provide insights into model strengths and weaknesses and recommend practical solutions
Prepare thorough documentation for regulatory standards
Support ongoing monitoring and improvement of predictive models.