לוח משרות דרושים Data Scientist

We are looking for data scientists that are passionate about applied and theoretical research in the realm of computational linguistics. As a data scientist, you will join us on our quest to develop novel approaches for generalized AI that can understand and generate natural language. As such, you will study linguistics and mathematical phenomena in order to create new state-of-the-art NLP models that can be applied on, and generalize across multiple domains and use cases.

Required Data Scientist
Your Mission:
As a Data Scientist, your mission will be to leverage your expertise in machine learning and generative AI to develop and implement models and Gen-AI tools that enhance our analytics, product development, and operational efficiency. You will play a crucial role in interpreting and analyzing complex data sets to provide actionable insights, drive strategic decision-making, and create cutting-edge innovative solutions that keep us at the forefront of the payment technology industry.
You will collaborate closely with data engineers, business analysts, and product teams to identify opportunities for leveraging company data in new ways. Through your work, you will enable us to harness the full potential of our data, ensuring that our strategies and products are informed by deep, data-driven insights.
Responsibilities:
Develop and implement advanced machine learning and generative AI models to solve complex business problems, enhance product offerings, and improve customer experiences.
Conduct data exploration and feature engineering to uncover hidden insights and identify opportunities for leveraging data across the business.
Collaborate with cross-functional teams to understand business needs and provide data-driven solutions and recommendations.
Stay abreast of the latest developments in machine learning and Gen-AI technologies, applying cutting-edge techniques and tools to drive innovation within.
Evaluate model performance and continuously iterate on and refine models to maintain their accuracy and relevance.
Communicate complex data concepts and the results of analyses clearly and effectively to stakeholders across the company.
Utilize big data technologies to process and analyze large datasets efficiently, ensuring scalable solutions for data-driven insights.
Design and implement big data machine learning solutions using technologies such as Spark, and Kafka for real-time data processing and analytics.
Explore and integrate new big data technologies and tools into the existing data ecosystem to improve data analytics and model development processes.

As the Vice President of Data , you will hold a critical leadership position responsible for driving strategic decisions through advanced quantitative analysis and data Science. Your expertise will be instrumental in cross-departmental collaboration with product marketing, customer service, and operations teams to ensure alignment and synergy across all areas of the business.



Responsibilities:



Lead and mentor multiple teams of Analysts, Data Scientists and Data Engineers.
Initiate & manage cutting-edge projects from ideation to delivery, including developing automated solutions.
Evaluate and improve the companys KPIs through data.
Collaborate closely with Stakeholders from Product, Marketing, Operations, Customer support and Finance and initiate data driven decisions and solutions.
Lead the analysis of complex datasets to extract valuable insights, trends, patterns, and anomalies that drive strategic decisions.
Lead the building and upgrade of existing data infrastructure to cope with performance, scalability, and growth.

Our R&D Product team is looking for a Data Field Operator.

Responsibilities:

Test drive the system and collect data daily.
Full responsibility over local test vehicles.
Work closely with the R&D to ensure the system is well up to date and meets test requirements.
Hands-on Integration of new HW - SW systems and maintaining existing
Prepare the system for and during high-focus customer demos.
Evaluate system behavior and create product analysis reports that summarise key metrics.
Validation of the ADAS system in the vehicle until ready for series production
The position requires frequent travel abroad

Were seeking a top-notch Applied Researcher with broad experience across different data science domains and solid coding skills. Building on the success of the open-source package and monitoring solution, weve expanded our offering to provide state-of-the-art validation to LLM-based applications. In this role, you will be in charge of developing these abilities which include fine-tuning of LLMs and training BERT-based models, working with similarity-based algorithms, training classical models, and more. deals with a wide range of data domains with various challenges, most of which have no textbook solution. As a data scientist in a startup whose product is designed for fellow data scientists and LLM engineers, you will have a unique opportunity to shape our product from a users point of view and engage with teams in different organizations.

Well be going through a lot together, so we want your character and mindset to be a good fit for a fast paced startup.