דרושים » תוכנה » Data Scientist

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.

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 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.

We're looking for a sharp and passionate Data Scientist to join our top-notch Data Science team.
Using your technical and analytical skills, your mission will be to develop Data Science models in purpose to directly impact the business KPIs in various areas.
Responsibilities:
Develop data science models to support business decision-making and improve KPIs across various areas.
Analyze complex data sets to identify trends, patterns, and insights.
Continuously monitor and improve model performance through testing and experimentation.
Execute projects end-to-end from requirements gathering, data mining, and exploration up to full implementing in production
Collaborate with cross-functional teams including product, engineering, and marketing to identify data-driven solutions.
Communicate findings and insights to non-technical stakeholders in a clear and concise manner.
Stay up-to-date with the latest advancements and trends in data science and machine learning.
Creating a framework of technical standards and procedures.

A growing tech company in the automotive space with hubs across the US and Israel. Our mission is to constantly disrupt the industry by creating new, groundbreaking technologies to help dealers build stronger, more resilient businesses.

Our work happens in the fast lane as we work to bring AI-powered, data-driven solutions to a quickly evolving industry. Our team is made up of curious and creative individuals who are always looking to achieve the impossible. We are bold, collaborative, and goal driven, and, at our core, we believe every voice has value and can impact our bottom line.

If you are a creative, solutions-oriented individual who is ready to put your career in drive,the place for you!

We are looking to add a driven Product Manager to play a crucial role in building and implementing innovative AI products, particularly focused on Large Language Models (LLMs).

As a Product Manager, you will be a key driver in designing, developing, testing, and launching exciting AI-driven products using LLM flows from conception through to release.

You will be part of a product-centered company at the forefront of innovation, dedicated to creating real disruption in the industry. With a focus on flexibility and speed, we aim to make a tangible impact!

What you will be responsible for
Spearhead the company's LLM initiatives, acting as the subject matter expert and internal evangelist for LLM adoption and integration
Own the development and maintenance of LLM-based solutions, from defining use cases and designing workflows to collaborating with engineering on implementation
Drive the strategy and roadmap for the company's Website Engagement product, ensuring alignment with overall business goals
Collaborate with cross-functional teams such as engineering, product, marketing, and customer support to deliver exceptional AI and web-based solutions
Define and monitor product success metrics, using KPIs to measure LLM adoption, user engagement, and the effectiveness of website interactions
Stay at the forefront of AI advancements, continuously evaluating emerging LLM and AI technologies and their potential applications for the company's products and internal processes

A Brooklyn sci-fi bookstore by Tamer Hassan, Michael Tiffany, Dan Kaminsky, and Ash Kalb. Our humble beginnings led to the creation of the Human Defense Platform, the backbone of all our products that safeguards enterprises from sophisticated bots, fraud, and account abuse. Today we verify the humanity of more than 20 trillion interactions per week for some of the largest companies and internet platforms.

Our hacker roots still permeate everything we do. You will be a part of the front line in our commitment to protecting companies (and in turn, their customers) from both revenue and reputation risk caused by digital attacks. However, not the center of this story. Humans like yourself are. We firmly believe in putting people first. This approach spans our extensive total rewards package, inclusive of competitive compensation, benefits, stipends - as well as our day-to-day culture - to ensure every human is empowered to do the best work of their life. We want to hear about the marathon youre training for. We want to see pictures of your pets. We want to know your favorite robot (we have many).

Even if youre not a conventional hacker we can assure you that you are a hacker in your own right. We want to work with people like you who break down problems to build up better solutions. Thats what makes us . Youll be joining us at an exciting moment in the story: we joined forces with PerimeterX in a market-changing merger, as well as recently acquired clean.io to enhance the Defense Platform. Together under the brand, we will disrupt the economics of cybercrime. We hope you can join us in that mission.

The Research team takes on the immense challenge of identifying and stopping malicious activity across vast streams of traffic. By crafting innovative, data-driven solutions, we empower our products to make trillions of decisions every day with unparalleled precision. Our work directly impacts the safety of the internet and ensures that remains the best-in-class solution for our customers, standing strong against the ever-evolving tactics of attackers.
As the driving force behind our products decision-making capabilities, we hold ourselves to the highest standards, embracing a relentless learning mindset to ensure our solutions remain the most accurate and effective in the market. Our team combines the expertise of data researchers, security researchers, and data scientists, working in close collaboration to achieve impactful results while fostering mutual growth and development. We are now seeking a skilled and driven Senior Security Data Researcher to join our team and play a key role in shaping the intelligence behind our products.
What you'll do:
Lead research initiatives to design and implement innovative methods for identifying and blocking malicious activity at scale.
Collaborate closely with developers, product managers, threat intelligence analysts and incident response teams to deliver impactful, data-driven solutions.
Analyze and process massive datasets using advanced tools and techniques to uncover insights and solve complex problems.
Act as a key contributor within a global core team of data researchers and security researchers, driving initiatives with a significant impact on the companys product and customers.
Mentor and guide team members, sharing knowledge and fostering a culture of innovation and collaboration.

Were looking for a Staff Data Scientist to join our dynamic and collaborative team in Tel Aviv.
In this role, you will shape strategic initiatives in the domain of AI and algorithm development, driving the creation of deep and innovative capabilities that push the boundaries of AI-driven solutions. By blending cutting-edge methods in Generative AI and Applied Machine Learning, youll play a pivotal part in defining our next generation of advanced, data-driven products and services.
Here are a few of the things you will do:
Collaborative Team Player: Foster an environment where colleagues can thrive. Seek opportunities to enhance team effectiveness, share expertise, and promote a culture of continuous learning.
Lead Applied Research & Development: Drive projects from focused, time-bound experimentation using scientific tools to delivering robust, production-ready solutions.
Strategic Impact: Partner with cross-functional stakeholders to identify, prioritize, and execute on high-impact AI and ML initiatives, ensuring alignment with business objectives.
Hands-On Innovation: Stay up-to-date with the latest technical and scientific advancements in AI, maintaining an experimental mindset to test, adopt, and refine emerging techniquesparticularly in Generative AI and LLMs.
Full Solution Ownership: Take accountability for project outcomesgathering requirements, developing data-driven solutions, and ensuring smooth deployment and operation through best-in-class MLOps practices.

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.

We are seeking a Senior Data Scientist who thrives on exploring complex data sets, extracting meaningful insights, and building high-quality, real-time data products to enhance our cutting-edge technologies. At Bigabid, we value talent and collaboration, fostering an environment where employees support one another to grow both individually and as a team. Our work is rewarding, challenging, and fun all while exceeding our clients expectations.

Responsibilities:
Deliver end-to-end machine learning models and impactful research.
Play a critical role in model development, prototyping, offline validation, production implementation, and online testing of our suite of ML products
Analyze vast and complex data sets to identify meaningful patterns and engineer features for ML models.
Design, build, tune, and interpret ML models by applying the scientific method and leveraging cutting-edge techniques.
Perform data manipulation, cleaning, validation, and cross-domain research to enrich insights and solutions.
Generate creative research ideas and actionable insights to address challenging business and technical problems.
Collaborate with product managers and engineering teams to align on problem definitions, trends, and solution opportunities.