לוח משרות דרושים Data Scientist

PassportCard Labs is where innovation meets impact. As the technological powerhouse behind PassportCard, we design and build cutting-edge solutions that revolutionize the insurance industry. Whether it’s real-time claims payments or predictive analytics, our Labs team is at the forefront of driving change and shaping the future of insurance. Ready to innovate with us? We are seeking a highly skilled and motivated Data Scientist to join our dynamic, cool and growing Data Science Group. In this role, you will be responsible for analyzing complex datasets, designing, developing, and maintaining predictive models and advanced machine learning algorithms. You will ensure the availability, reliability, and efficiency of our data infrastructure. You have a strong background in data analysis, statistical modeling, and machine learning. Working within our unique Insurtech hub, you will provide actionable insights to drive business decisions and play a key role in the growth and expansion of the entire company. You will leverage advanced machine learning and AI processes to support data initiatives, collaborating closely with business stakeholders, data analysts, data engineers, and tech leads to implement cutting-edge solutions that enhance our competitive stance. Our ideal candidate has experience with various data streams, a passion for data and modeling processes, and a broad business perspective. Equally important, you are a friendly, collaborative, and communicative team member. Your Roles and Responsibilities:
* Lead and manage multiple data projects from inception to completion, ensuring timely delivery and high-quality outcomes.
* Collect, process, and analyze large datasets to identify trends and patterns, and perform data cleansing, preprocessing, and feature engineering.
* Develop and implement machine learning models and algorithms.
* Collaborate with cross-functional teams, including data engineers, data scientists, data analysts, as well as tech stakeholders, to define model scope, objectives, and deliverables.
* Stay up to date with the latest advancements in data science and machine learning.

Our fantastic team is expanding to meet the growing demand of our customers and we are interested in welcoming a Data Scientist to join our team, and to design and develop proprietary AI models for our industry-leading OEM customers.

We are looking for a talented Data Science who's a strong team player to join our data science team
Key Responsibilities

Drive and execute the data science modeling strategy.
Work cross-functionally to deliver models from inception to production.
Mentor a team of data scientists, providing technical guidance and support.
Develop and implement advanced data models, algorithms, and machine learning techniques to solve complex business problems.
Collaborate with cross-functional teams to identify data-driven opportunities and deliver actionable insights.
Work closely with data engineering and data analyst teams to ensure seamless integration and delivery of comprehensive data solutions for business objective
Ensure the accuracy, reliability, and scalability of data solutions.
Stay up-to-date with the latest trends and technologies in data science and machine learning.
Communicate findings and recommendations to stakeholders through clear and concise reports and presentations.
Drive continuous improvement in data science practices and methodologies.

We're seeking a Senior Data Engineer to architect and develop sophisticated data solutions using advanced Spark, PySpark, and Databricks implementations in our mission to transform the cyber-security breach readiness and response market.

What youll do:
Join us in crafting cutting-edge solutions for the cyber world using Spark/PySpark ETLs and data flow processes. Dive into the realm of multi-Cloud environments while collaborating closely with investigators to fine-tune PySpark performance. Harness the power of top-notch technologies like Databricks to elevate our technical projects, scaling them for efficiency. Embrace innovation as you research and implement new techniques. Evolve with us as a key member of the Mitiga R&D team.

We are seeking a Research Scientist to join our Llama Large Language Model (LLM) Research team. We are looking for recognized experts in VLLMs; with experience in areas like vision encoders, data filtering/curation for pre and post-training, RLHF, responsible AI and model controllability. The ideal candidate will have an interest in producing and applying new science to help us develop and responsibly release vision large language models.
AI Research Scientist - Generative AI Responsibilities
Lead, collaborate, and execute on research that pushes forward the state of the art in multimodal reasoning and generation research.
Work towards long-term ambitious research goals, while identifying intermediate milestones.
Directly contribute to experiments, including designing experimental details, writing reusable code, running evaluations, and organizing results.
Work with a large team.
Contribute to publications and open-sourcing efforts.
Mentor other team members. Play a significant role in healthy cross-functional collaboration.
Prioritize research that can be applied to our product development.

We are looking for researchers and applied scientists to join the Central Applied Science team.
Central Applied Science is an interdisciplinary team of quantitative scientists that aims to deliver research and innovation that fundamentally contribute to our success. By applying your expertise in quantitative methods, you will be empowered to drive impact across a range of products, infrastructure and company operations. Individuals in this role are expected to have expertise and publications within research areas in the board field of machine learning. The ideal candidate will have a passion for building data-driven products and forming research frameworks to solve challenging, real-world problems.
Research Scientist, Central Applied Science Responsibilities
Work with vast amounts of data, generate research questions that push the state-of-the-art, and build data-driven products.
Develop novel quantitative methods on top of our unparalleled data infrastructure.
Learn new tools, systems, and programming languages quickly as required by the particular project you are working on.
Work towards long-term ambitious research goals, while identifying intermediate milestones.
Communicate best practices in quantitative analysis to partners.
Work both independently and collaboratively with other scientists, engineers, UX researchers, and product managers to accomplish complex tasks that deliver demonstrable value.
Publish research results in top-tier conferences and at leading journals.
Actively identify new opportunities within our long term roadmap for applied science contributions.

Required Research Scientist, Computer Vision & GenAI
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 leading 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 Deep Learning, 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 build cutting-edge 3D Avatars.
Research Scientist, Computer Vision & GenAI Responsibilities
Help to develop the next generation of GenAI models for avatar creation and animation.
Harness in-depth understanding of 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 research goals, while identifying intermediate milestones.
Disseminate findings of research by publishing papers in high impact conferences and journals.

As a Senior Data Scientist, you will be part of a multidisciplinary AI team, working on AI-driven solutions in audio and text fields. You will apply machine learning and deep learning techniques, with a strong emphasis on Deep Learning for Time-Series Analysis, to develop scalable AI models that directly impact senior care. You will collaborate closely with R&D teams, leveraging real-world data to build high-performance AI solutions. This is an opportunity to tackle complex, real-world challenges, drive cutting-edge AI research, and develop innovative solutions tailored to the needs of caregivers and healthcare providersall within a dynamic, fast-paced environment.

Key Responsibilities:
Develop and optimize data pipelines and machine learning models, with a focus on Deep Learning for Time-Series Analysis.
Take ownership and lead end-to-end delivery, from innovation, experimentation, and research to full development and deployment to production.
Lead research initiatives to solve complex data science challenges, applying deep learning techniques.
Continuously monitor and refine model performance, ensuring high accuracy, efficiency, and reliability.
Work closely with Product, Business, and R&D teams to align AI innovations with company objectives.
Solve non-trivial, non-classical data science challenges using creative and outside-the-box thinking.
Work in a fast-paced startup environment, contributing to the development of cutting-edge AI-driven solutions.

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 (Facebook, Instagram, Messenger, WhatsApp, Oculus). 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 wide-range 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 us. 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 broad 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
Defining new opportunities for product impact Influencing product and sales to solve the most impactful market problems
Apply your expertise in quantitative analysis and the presentation of data to see beyond the numbers and understand how our users interact with our growth products
Work as a key member of the product team to solve problems and identify trends and opportunities
Inform, influence, support, and execute our product decisions and product launches in partnership with Product, Engineering, and cross-functional teams
Set KPIs and goals, design and evaluate experiments, monitor key product metrics, understand root causes of changes in metrics
Exploratory analysis to discover new opportunities: understanding ecosystems, user behaviors, and long-term trends Identifying levers to help move key metrics.

We are looking for an experienced Data Scientist who can leverage and develop innovative machine learning, NLP, and generative AI technologies, for solving problems within a wide scope.

As a part of our Data Science group, you will work on highly complicated challenges, from research to production, and help shape our algorithms and AI platform. You will work with Developers, Analysts, Product Managers, and business owners on growth opportunities and new ideas.

You should have a strong background and experience in the machine learning pipeline through business understanding, research, data exploration, feature engineering, model building, performance evaluation, testing, production-level code and deployment, model monitoring, and maintenance.

What am I going to do?
Take leading roles in projects such as search engine ranking, promoted ads in search results, recommendations, users segmentation and personalization, online bidding optimization, text analysis, real-time predictions, live streaming data handling, exploration-exploitation problems, etc.
Work closely with various departments in the company to provide advanced Data Science solutions end to end.
Write and own production models and code.
Independent research and innovation in new content and technological domains.
Lead and advise other team members.
Continuously produce new initiatives and improvement ideas.
Act as a leader of AI platform. Develop models and framework solutions for the group.

As a part of our Search group, you will work on highly complicated challenges, from research to production, and help shape our algorithms and ML platform. You will work with Software Engineers, Analysts, Product Managers, and business owners on growth opportunities and new ideas.

You should have a strong background and experience in the machine learning pipeline through business understanding, research, data exploration, feature engineering, model building, performance evaluation, testing, production-level code and deployment, model monitoring, and maintenance.

What am I going to do?
Take leading roles in projects around our search & matching engine: ranking, semantic search, user segmentation and personalization, Gen AI within our core mechanisms, real-time predictions, live streaming data utilization for our online models, etc.
Provide advanced Data Science solutions end to end.
Write and own production models and code.
Independent research and innovation in new content and technological domains.
Lead and advise other team members.
Continuously produce new initiatives and improvement ideas.

We are looking for a Data Scientist to work on Fraud Machine Learning and Data Analysis, you'll develop and implement machine learning models to detect and prevent fraud, analyze complex data sets for patterns, and collaborate with teams to enhance fraud detection systems. You'll stay updated on emerging threats, ensure data integrity and compliance, and communicate insights to stakeholders to support informed decision-making.
You will work closely with other Data Scientists leveraging cutting-edge technology and data insights. You will also collaborate regularly with other teams and cross-functional stakeholders to establish priorities and drive merchant frauds down.
What you will be doing:
Develop ML models to detect fraud
Conduct deep-dive exploratory data analysis to uncover insights and anomalies
Conduct experiments and A/B tests to improve performance and reduce fraud
Develop cutting-edge automation tools aimed at monitoring and optimizing merchants performance.
Implement robust measurements to assess how proposed solutions impact merchants' performance and revenue, providing valuable insights for both internal and external ROI.
Collaborate with various teams across the company to ensure an outstanding merchant experience and feed requirements for product development.

We are looking for a passionate Senior Data Scientist, to work end to end on some of our core problems. Solving these will help drive revenue and improve decision making.
As a Full Stack Data Scientist you will be handed with a business problem and will be asked to provide an end to end solution - Unpack and thoroughly understand the business problem, define the strategy to deal with it and develop & deploy your solution along with relevant support.

What you'll be doing:
Design and implement end-to-end solutions from business needs all the way to live deployment.
Monitor and own models in production.
Model, design, and implement machine learning and data mining algorithms
Perform deep data analysis to evaluate performance and recommend improvements.
Help, guide and support our business partners to allow for scale and accuracy while adopting your solutions.