לוח משרות דרושים Data Scientist משרה מלאה

we're on a mission to shape the future of the shipping industry through cutting-edge autonomous ship technology. Our solutions empower teams both on the ship and ashore to make informed decisions that dramatically enhance safety, reduce fuel consumption, improve navigation, and minimize environmental impact.

We integrate state-of-the-art technologies like computer vision and augmented reality, ensuring that we create solutions that improve operational efficiency and promote safer, greener shipping practices. we are committed to making a positive difference for both the environment and the people who rely on safe, efficient shipping practices. Join us as we work towards a safer, greener future for the maritime industry.

We are seeking a highly motivated and results-driven Senior Data Scientist to join our expanding data group. You will work directly with our team of data scientists and analysts, leading the research and development of innovative analytics products. Were seeking someone who is not afraid to roll up their sleeves, dive into the data, and deliver impactful solutions.

The ideal candidate will be an experienced analytics leader with a strong hands-on approach. You should be passionate about data and possess a deep understanding of machine learning, statistics, and data science principles. You will thrive in our dynamic environment, taking ownership of driving analytics for our new line of data products and demonstrating a "get-things-done" mentality.

Responsibilities:
Leverage a creative blend of AI techniques, machine learning algorithms, statistical analysis, and business intelligence to build and refine predictive models focused on tabular data. This includes structured datasets such as customer records, transactional data, time-series, and operational logs.
Drive end-to-end data science workflows for tabular data prediction use cases from initial problem scoping and feature engineering to model development, validation, and deployment.
Collaborate closely with dedicated development and product teams to ensure seamless integration and high-quality data science solutions.
Build and continuously optimize scalable ML pipelines and infrastructure specifically tailored for structured data and predictive modeling tasks.
Take initiative in identifying delivery bottlenecks, implement effective monitoring and model performance tracking for tabular predictions, and own the success of data-driven product features from inception through deployment.

Who are we?Flexible advertising, unified by data. our company empowers advertisers, agencies, publishers and broadcasters around the world to utilize data and advanced TV in the ways that are most meaningful to them. Our flexible and unified technology stack comprises a demand-side platform ( DSP ) and supply-side platform (SSP), with the company's data Platform at its core. With a global footprint, you can be part of a team that is transforming advertising through our creative, flexible and unified solutions.Why join the company's team?With a global footprint, you can be part of a team that is transforming advertising through our creative, flexible and unified solutions. Employees hustle, commit and dedicate themselves to pillars that make up the company's Way the 3Cs - Customer Centric, Curious Mindset, Collaborative with No Ego.We're looking for a data Scientist to join our data team in Tel Aviv.What You'll DoResponsible for the optimization of technologies that are the foundation components of our data platform Work closely with engineering and product team in the design and implementation of data -driven algorithms that enhance the performance of our system Work with large-scale data and support scientific experiments to improve and validate the algorithm performance Own end-to-end workflowsfrom conducting exploratory research and building and validating Machine Learning models to deploying production-ready solutions and monitoring performance in real-world environments. Developing and using machine-learning techniques, visualizations, and statistical analysis to gain insight into various data sets some of which are readily available, and some of which we create and curate ourselves Help guide teams in researching, designing, simulating, and/or prototyping new algorithmic product features according to business needs
 At our company, we value our differences, varied experiences, and collective contribution. We know that not everyone takes the same career path, so if you dont match this job description perfectly, dont worry! We would rather see your application than risk missing out on your potential to make an impact.What if I have any questions before I apply?All applications need to be submitted online, however, to discuss any adjustments you may require ahead of submitting your application.

Required Research Scientist, GenAI & Computer Vision (Pixel Synthesis)
The Reality Labs organization is helping more people around the world come together and connect through world-class Augmented and Virtual reality (AR/VR) products. With global departments dedicated to research and development, AR/VR is committed to driving the state of the art forward through relentless innovation. The potential to change the world is immense - and were just getting started.
Individuals in this role are expected to be recognized experts in Artificial Intelligence and Machine Learning, particularly in areas such as DL, Computer Vision, Affective Computing, Behaviour Understanding, and Generative AI. As a Research Scientist, you will help us develop models, algorithms, datasets, and evaluation methodologies for the generation and animation of avatars to facilitate new and engaging user experiences, and apply them to large-scale production that has the potential to reach billions of users.
Research Scientist, GenAI & Computer Vision (Pixel Synthesis) Responsibilities
Help to develop the next generation of GenAI models for avatar creation and animation.
Harness passion for technology and propose new research roadmaps which can lead to the creation of new models that can be applied to multiple applications.
Employ knowledge in the following areas: multi-modal data processing, affective computing, generative AI, and neural rendering.
Work towards long-term ambitious research goals, while identifying intermediate milestones.
Disseminate findings of research by publishing papers in high impact conferences and journals.

We are seeking an experienced Data Scientist with a strong background in AI engineering to join our AI Platform team. This role focuses on developing and fine-tuning advanced machine learning models, including LLMs, to support various product teams across our company. As a member of the AI Platform team, you will collaborate with cross-functional teams to build scalable, efficient, and robust AI solutions that serve diverse business domains.
What am I going to do?
Take leading roles in foundational AI projects across our company: developing and fine-tuning LLMs, building reusable components for generative AI, supporting real-time predictions, and enabling streaming data utilization across online models.
Provide advanced Data Science and AI Engineering solutions end-to-end - from research and prototyping to robust production-grade implementations.
Own the design, training, and evaluation of models tailored for tasks like summarization, classification, semantic matching, personalization, and more.
Drive innovation by exploring new model architectures, training techniques, and fine-tuning strategies aligned with business needs.
Lead and mentor other team members, setting high standards for technical excellence and knowledge sharing.
Continuously identify new opportunities to evolve the platforms capabilities and streamline how AI is built and adopted across our company.

Required Data Scientist, Product Analytics
As a Data Scientist, you will shape the future of people-facing and business-facing products we build across our entire family of applications. By applying your technical skills, analytical mindset, and product intuition to one of the richest data sets in the world, you will help define the experiences we build for billions of people and hundreds of millions of businesses around the world. You will collaborate on a wide array of product and business problems with a varied set of cross-functional partners across Product, Engineering, Research, Data Engineering, Marketing, Sales, Finance and others. You will use data and analysis to identify and solve product development's biggest challenges. You will influence product strategy and investment decisions with data, be focused on impact, and collaborate with other teams. By joining us, you will become part of a world-class analytics community dedicated to skill development and career growth in analytics and beyond.
Product leadership: You will use data to shape product development, quantify new opportunities, identify upcoming challenges, and ensure the products we build bring value to people, businesses, and Meta. You will help your partner teams prioritize what to build, set goals, and understand their product's ecosystem.
Analytics: You will guide teams using data and insights. You will focus on developing hypotheses and employ a varied toolkit of rigorous analytical approaches, different methodologies, frameworks, and technical approaches to test them.
Communication and influence: You won't simply present data, but tell data-driven stories. You will convince and influence your partners using clear insights and recommendations. You will build credibility through structure and clarity, and be a trusted strategic partner.
Data Scientist, Product Analytics Responsibilities
Work with large and complex data sets to solve a wide array of challenging problems using different analytical and statistical approaches
Apply technical expertise with quantitative analysis, experimentation, data mining, and the presentation of data to develop strategies for our products that serve billions of people and hundreds of millions of businesses
Identify and measure success of product efforts through goal setting, forecasting, and monitoring of key product metrics to understand trends
Define, understand, and test opportunities and levers to improve the product, and drive roadmaps through your insights and recommendations
Partner with Product, Engineering, and cross-functional teams to inform, influence, support, and execute product strategy and investment decisions.

Who We Are At Cross River, we're building the financial infrastructure that powers global innovation. With our cutting-edge suite of embedded payments, cards, and lending solutions, we enable millions of businesses and consumers to transact seamlessly and securely.?With 900+ employees worldwide and an R&D center of over 160 employees in Jerusalem - we’re reshaping how financial technology is developed and delivered. segmentation and optimization tools.

The Role:
As a Data Scientist you’ll play an essential role in driving data-informed decisions that strengthen our AML/CFT compliance and empower business leaders with actionable insights. By transforming complex data into clear, compelling analysis, this role enables quick understanding of results and supports strategic recommendations that directly influence compliance outcomes and operational success. You’ll collaborate with cross-functional partners to deliver a comprehensive view of risk, monitor the impact of implemented strategies, and make critical adjustments as needed. From designing and refining transaction monitoring scenarios to producing high-quality dashboards and reports, your work will guide ongoing optimization efforts.

Who You Are:

* Curious and analytical – You love digging into data, asking the right questions, and uncovering insights that others might miss.
* Clear communicator – You can explain complex findings in a way that’s easy to understand, whether it’s to compliance officers or business partners.
* Collaborative mindset – You enjoy working across teams and believe that the best solutions come from bringing different perspectives together.
* Mission-driven and detail-oriented – You care deeply about making a real-world impact and bringing focus and precision to everything you do.

What You’ll Actually Be Doing:

* Present data and analysis in a clear and concise manner allowing the audience to quickly understand the results and recommendations so they can make informed data-driven decisions.
* Collaborate with various partners to provide a holistic view of the analysis. Measure and monitor results of applied recommendations and present adjustments.
* Develop scenarios involving tuning, calibration, segmentation, and optimization.
* Provide routine and ad hoc reporting tied to AML/CFT compliance.
* Develop insightful and compelling summary reporting and dashboards for management and business line partners.
* Support the development of policies and procedures for AML transaction monitoring life cycle, including reviews of scenario validation, segmentation and optimization tools.

Why You’ll Love Working Here:

* Flexible hybrid work model: three days a week at our Jerusalem office
* Monthly wellness reimbursement – from therapy to gel manicure, it's up to you
* Full Keren Hishtalmut, private health and dental insurance
* Volunteer days, donation matching, Yoga and Pilates
* A supportive, collaborative culture that puts our people first

Next Step:
Hit apply. You bring the talent; we’ll bring the challenge (and the snacks!)

abra R&D is seeking an experienced Algorithm and Signal Processing Engineer We are seeking a Data Scientist and LLM Engineer with a strong background in Python and hands-on experience in developing and implementing advanced ML and NLP solutions.
* The ideal candidate will bring in-depth technical skills and industry experience to design, develop, and optimize AI/ML models, particularly Large Language Models (LLMs), to address complex challenges in our target sectors ementation in simulation environments.
* Support software, hardware, and firmware teams in implementing algorithms on embedded systems. Responsibilities
* Design, develop, and deploy cutting-edge causal inference and AI models to solve complex problems in user behavior, root cause analysis, gaming and mobile applications domains.
* Develop Python-based solutions for data processing, model training, and deployment in production environments.
* Collaborate with cross-functional teams to integrate AI/ML solutions into enterprise-grade applications.
* Conduct research on the latest advancements in AI, ML, and LLMs to maintain competitive edge.
* Optimize and fine-tune LLMs for performance, scalability, and cost efficiency.
* Analyze and process large datasets to extract actionable insights that drive business value.
* Develop and maintain robust, scalable, and efficient codebases and documentation. Why Join Us
* Be part of a forward-thinking start-up company pushing the boundaries of AI and ML.
* Collaborate with a talented team dedicated to innovation and excellence.
* Opportunities for professional growth and development in cutting-edge technologies.