דרושים » ניהול ביניים » Senior Data Scientist

Were searching for a passionate and experienced hands-on AI Architect to join our team.
With a wide array of responsibilities and corresponding impact, youll help spearhead our product offering and wear multiple hats at a fast-growing, dynamic, early-stage company.
Responsibilities:
Design, develop, and drive design processes and products that incorporate Generative AI (LLMs), models and knowledge Retrieval in order to help patients across the US.
Design and define data pipelines and evaluation pipelines.
Coach teams on best practices for datasets and building data sets.
Build applicative AI in production on a large scale.
Build solutions for different mediums including voice products with minimal latency and high accuracy.
Build an internal tool system to allow scientific evaluation.
Implement and lead new AI strategies by designing and implementing complex functionality and/or integrating with 3rd parties.
Continuously improve our existing NLP capabilities to help patients across the US answer any question, schedule appointments with their doctor, refill their prescriptions, and much more.
Use best practices and SOTA from the AI industry but also push the envelope to new heights.

We are looking for a Senior Data Scientist (Applied AI).
As a Senior Data Scientist on our Applied AI team, you will join our Tel Aviv office and play a hands-on, end-to-end role in delivering innovative capabilities that help mayors and other city leaders understand their communities and improve the lives of millions worldwide. Reporting to the Applied AI Team Lead, you will collaborate with product, engineering, and fellow data-science teammates to turn cutting-edge research into production-ready solutionsquickly, reliably, and with maximum real-world impact. Youll work with a rich mix of data sources (including social media, news stories, survey results, resident feedback, and more) to create models and AI-powered features that scale.
Day to Day:
Design, build, and deploy AI and machine-learning solutions, from data exploration through modeling, evaluation, and integration into customer-facing products and internal tools.
Optimize models for quality and scalability through feature engineering, hyper-parameter tuning, runtime profiling, and thoughtful architectural choices.
Build and maintain data pipelines using tools such as Airflow, Spark, and Databricks to ensure clean, reliable inputs for downstream models.
Collaborate closely with product managers, engineers, and designers to refine problem statements, iterate rapidly, and ship impactful features on schedule.
Champion technical excellence by conducting code reviews, sharing best practices, and mentoring teammates across data science and engineering.
Stay current with the latest developments in AI-including LLMs, RAG systems, and AI agents-and proactively propose ways to incorporate new techniques into our workflows.
Work an in-person or hybrid schedule, spending at least three days per week in our Tel Aviv office.

We are seeking a Senior Data Scientist to lead the development of personalization models that power our AI agents. In this role, youll design and deploy intelligent systems that understand each travelers preferences, intent, and behaviortransforming complex user journeys into effortless, hyper-personalized experiences.This is a high-impact, cross-functional role working closely with product managers, engineers, designers, and the AI/LLM platform team to create deeply personalized, autonomous travel assistance that feels like magic (but is all math and modeling underneath).
What Youll Do:
Design and build machine learning models that power personalization across our agentic platform, including traveler profiles, flights & hotels recommendation engines, and behavioral prediction systems.
Develop algorithms that adapt and learn from user behavior over time, channels, and modalities (text, voice, action).
Collaborate with PMs, engineers, and conversational designers to integrate ML into real-time decision loops, conversational agents, and proactive UX flows.
Own experimentation pipelines and performance evaluation, AB tests, offline metrics, and production agent behavior.
Work hands-on with structured and unstructured data (e.g., travel history, chat logs, user feedback, booking behavior) to extract insights and drive model improvement.
Define and maintain robust MLops practices: monitoring, retraining, feature pipelines, and real-time inference.
Stay current with the latest in recommender systems, LLM integration, embeddings, retrieval augmentation, and agentic reasoning to continuously evolve our approach.

Are you passionate about harnessing cutting-edge data science techniques to protect the world from cyber threats? Do you thrive in the dynamic world of cybersecurity? If so, we invite you to join our innovative and forward-thinking team at our company, where you'll have the opportunity to shape the future of cybersecurity and impact millions of customers.
As a Principal Data Scientist, you will apply your expertise in data analysis, machine learning, and cybersecurity to build new defense techniques against cyber-villains. You will be a driving force in designing and developing groundbreaking, ML-based security solutions that block attacks even before they begin.
Your Impact
Contribute to a diverse and highly skilled research group that pioneers state-of-the-art technologies to protect our customers
Utilize analytical rigor, statistical methods, programming, and data modeling to analyze vast amounts of data, applying your cybersecurity knowledge to guide our focus and approach
Decompose complex problems scientifically and provide actionable insights and recommendations to both technical and non-technical stakeholders
Lead and collaborate on end-to-end projects within the team and across engineering and product teams, from initial ideation to final deployment.

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 ML Foundations team, you will work on highly complicated challenges, from research to production, and help shape our algorithms and AI capabilities. You will work with Data scientists, Software engineers, 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 innovative and cross-domains projects using cutting-edge technologies
Research and development of foundation data science capabilities
Work closely with various departments in the company to provide advanced Data Science solutions end to end.
Write and own tools and frameworks that will integrate in production models.
Build frameworks to train, evaluate, deploy and monitor machine learning models using reliable and scalable infrastructure.
Create modular, reusable code libraries and tools to streamline model development, evaluation, and testing processes.
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 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 an NLP Data Scientist, a leader in AI-driven healthcare technology, you will play a critical role in developing intelligent language-based systems that directly support our core mission. Youll lead efforts in designing, evaluating, and deploying state-of-the-art Natural Language Processing (NLP) and Large Language Model (LLM) capabilities in production. From prompt engineering and NLU model development to model optimization and monitoring, your work will impact real-world outcomes and shape the future of digital health solutions. This role bridges applied machine learning, linguistics, and GenAI innovationideal for those who want to build solutions that matter.

What Youll Do:

Develop and maintain Natural Language Understanding (NLU) models integrated into key company products.

Design and iterate on prompt templates and strategies using techniques such as few-shot, zero-shot, and chain-of-thought prompting.

Apply best practices from prompt engineering, including answer engineering (e.g., extractors, verbalizers, formatting).

Evaluate model outputs using modern benchmarking techniques (e.g., self-consistency, prompt ensembles).

Collaborate with cross-functional teams (engineering, product, clinical) to tailor LLM-based systems to practical use cases.

Monitor and improve model performance post-deployment with a focus on stability, safety, and domain alignment.

Contribute to the internal prompt engineering knowledge base and stay up to date with the latest research and community best practices.

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 Fiverr. 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 Fiverr: 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 platform’s capabilities and streamline how AI is built and adopted across Fiverr.

Equal opportunities:
At Fiverr, we’re not about checklists. If you don’t meet 100% of the requirements for this role but still feel passionate about the position and think you have the right skills and qualifications to excel at it, we want to hear from you. At Fiverr, we prioritize diversity. We celebrate difference and embed it into every aspect of our workplace and product, as well as our community. Fiverr is proud and committed to providing equal opportunity employment to all individuals regardless of race, color, religion, sex, sexual orientation, citizenship, national origin, disability, Veteran status, or any other characteristic protected by law. In addition, Fiverr will provide accommodation to individuals with disabilities or a special need.

We are looking for a senior DL researcher who is passionate about exploring complex data sets, drawing meaningful insights, and building high-quality real-time data products that complement our robust arsenal of industry-leading technologies.

As a senior DL researcher at Bigabid, you will be creating high-impact Machine Learning projects. In close coordination with stakeholders, you will play a major role in driving the data science roadmap and execution by providing the best solution to a game changer business problem.

Responsibilities

Deliver end-to-end ML products - including research, model development, prototyping, offline validation, implement in production, and online testing
Be a key player in the DS group - providing insights, best practices, novel techniques and research, and technical know-how to other data scientists
Develop ML solutions using advanced DL techniques to a diverse set of problems.
Analyze huge amounts of complex data to identify meaningful patterns and build useful features for machine learning models
Apply the scientific method to design, create, tune, and interpret machine learning models
Perform data manipulation, validation, and cross-domain research
Come up with new and creative research ideas and insights
Collaborate with our product and engineering teams to solve problems and identify trends and opportunities.

we are seeking a Senior Data Scientist to drive the development and implementation of AI-based solutions that solve complex business challenges across our innovative SaaS platform. In this key role, youll work cross-functionally to lead end-to-end AI projectsfrom data exploration to deploymenthelping shape the future of our intelligent products and user experiences.
If youre passionate about machine learning, LLMs, and real-world impact, and thrive in a collaborative, high-velocity environment, wed love to connect.
What You Will Do:
Identify AI opportunities to enhance product experiences and operational efficiency.
Collect, analyze, and model diverse financial datasets to develop actionable AI Products.
Own the full AI solution lifecyclefrom problem definition to research, modeling, and hands-on implementation.
Break down complex problems into well-defined, structured work plans.
Collaborate closely with developers, product managers, and other stakeholders to integrate AI solutions seamlessly into products.
Stay up to date with AI, ML, and LLM trends, translating them into practical applications.
Provide technical leadership and mentorship to junior data scientists while balancing immediate delivery with long-term innovation.